DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored

hf DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored 2 sources, 13 claims · Watch

What each source says

PropertySourceSaidMeans here
Author
author
not compared
GGUF quantisationsDavidAU
receipt
Source
GGUF quantisations
Its words
DavidAU
Read by
field:author
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa2555d942797ca6672756f",
  "author": "DavidAU",
  "cardData": {
    "base_model": [
      "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored"
    ],
    "datasets": [
      "DavidAU/Polar-STRICT-Datasets",
      "DavidAU/F451-STRICT-Datasets",
      "DavidAU/THE-DECKARD-Datasets"
    ],
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "unsloth",
      "fine tune",
      "heretic",
      "uncensored",
      "abliterated",
      "ara",
      "MTP GGUF Quants",
      "Regular GGUF Quants",
      "qwen3_8",
      "qwen3_6",
      "qwen3_5",
      "multi-stage tuned",
      "thinking",
      "reasoning",
      "all use cases",
      "coder",
      "creative",
      "creative writing",
      "all genres",
      "story",
      "writing",
      "fiction",
      "roleplaying",
      "bfloat16",
      "all use cases",
      "multi-stage-tune",
      "multi-state-merge"
    ]
  },
  "createdAt": "2026-09-10T06:59:41.000Z",
  "downloads": 203773,
  "gated": false,
  "id": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF",
  "lastModified": "2026-09-17T07:52:26.000Z",
  "likes": 201,
  "modelId": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "3e10f00b6620562e28d5132e077d8cc61a568881",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template-tturbo-v2.jinja"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "launch-arm.gif"
    },
    {
      "rfilename": "mmproj-BF16.gguf"
    },
    {
      "rfilename": "mmproj-F16.gguf"
    },
    {
      "rfilename": "mmproj-F32.gguf"
    }
  ],
  "tags": [
    "gguf",
    "unsloth",
    "fine tune",
    "heretic",
    "uncensored",
    "abliterated",
    "ara",
    "MTP GGUF Quants",
    "Regular GGUF Quants",
    "qwen3_8",
    "qwen3_6",
    "qwen3_5",
    "multi-stage tuned",
    "thinking",
    "reasoning",
    "all use cases",
    "coder",
    "creative",
    "creative writing",
    "all genres",
    "story",
    "writing",
    "fiction",
    "roleplaying",
    "bfloat16",
    "multi-stage-tune",
    "multi-state-merge",
    "image-text-to-text",
    "conversational",
    "en",
    "zh",
    "dataset:DavidAU/Polar-STRICT-Datasets",
    "dataset:DavidAU/F451-STRICT-Datasets",
    "dataset:DavidAU/THE-DECKARD-Datasets",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ]
}
—
Author
author
not compared
OliviaRossi
receipt
Source
GGUF quantisations
Its words
OliviaRossi
Read by
field:author
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa6c3895742475f97ada773",
  "author": "OliviaRossi",
  "cardData": {
    "base_model": [
      "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
      "Jackrong/Qwopus3.8-27B-Flash"
    ],
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "qwen",
      "qwen3.8",
      "gguf",
      "imatrix",
      "uncensored",
      "abliterated",
      "merge",
      "text-generation",
      "multimodal",
      "vision",
      "agentic",
      "tool-use"
    ]
  },
  "createdAt": "2026-09-13T15:38:49.000Z",
  "downloads": 2165,
  "gated": false,
  "id": "OliviaRossi/DoubleTrouble-GGUF",
  "lastModified": "2026-09-15T06:57:10.000Z",
  "likes": 4,
  "modelId": "OliviaRossi/DoubleTrouble-GGUF",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "2e4de52a58ea4051d41a06583e9e1a576ffe04bb",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "DoubleTrouble-BF16-00001-of-00002.gguf"
    },
    {
      "rfilename": "DoubleTrouble-BF16-00002-of-00002.gguf"
    },
    {
      "rfilename": "DoubleTrouble-GSQ-RCO-IQ3_XXS.gguf"
    },
    {
      "rfilename": "DoubleTrouble-IQ3_XXS.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    }
  ],
  "tags": [
    "gguf",
    "qwen",
    "qwen3.8",
    "imatrix",
    "uncensored",
    "abliterated",
    "merge",
    "text-generation",
    "multimodal",
    "vision",
    "agentic",
    "tool-use",
    "conversational",
    "en",
    "zh",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:merge:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:Jackrong/Qwopus3.8-27B-Flash",
    "base_model:merge:Jackrong/Qwopus3.8-27B-Flash",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}
—
Author
author
not compared
Solstice-AI
receipt
Source
GGUF quantisations
Its words
Solstice-AI
Read by
field:author
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa363a30a0dccd3718e7390",
  "author": "Solstice-AI",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "datasets": [
      "Solstice-AI/Solace-1.0-Omni"
    ],
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "solstice-ai",
      "davidau",
      "qwen",
      "qwen3.8",
      "qwen3.8-27b",
      "cold-fusion",
      "gain",
      "project-heretic",
      "heretic",
      "uncensored",
      "abliterated",
      "fable",
      "cot",
      "reasoning",
      "coding",
      "gguf",
      "llama.cpp",
      "ollama",
      "mtp",
      "multi-token-prediction",
      "speculative-decoding",
      "vision",
      "multimodal",
      "mmproj",
      "q8_0",
      "q6_k",
      "q5_k_m",
      "q4_k_m",
      "arc-challenge",
      "709-arc"
    ]
  },
  "createdAt": "2026-09-11T02:12:51.000Z",
  "downloads": 1970,
  "gated": false,
  "id": "Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-Uncensored-UltraOptimised-VariableThinking-1M",
  "lastModified": "2026-09-12T15:00:05.000Z",
  "likes": 4,
  "modelId": "Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-Uncensored-UltraOptimised-VariableThinking-1M",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "dc40092510a20ccb65d17090bed595c6f2fd3783",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "mmproj-BF16.gguf"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "vocab.json"
    }
  ],
  "tags": [
    "gguf",
    "solstice-ai",
    "davidau",
    "qwen",
    "qwen3.8",
    "qwen3.8-27b",
    "cold-fusion",
    "gain",
    "project-heretic",
    "heretic",
    "uncensored",
    "abliterated",
    "fable",
    "cot",
    "reasoning",
    "coding",
    "llama.cpp",
    "ollama",
    "mtp",
    "multi-token-prediction",
    "speculative-decoding",
    "vision",
    "multimodal",
    "mmproj",
    "q8_0",
    "q6_k",
    "q5_k_m",
    "q4_k_m",
    "arc-challenge",
    "709-arc",
    "image-text-to-text",
    "conversational",
    "en",
    "zh",
    "dataset:Solstice-AI/Solace-1.0-Omni",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "region:us"
  ]
}
—
Author
author
not compared
esatapedico
receipt
Source
GGUF quantisations
Its words
esatapedico
Read by
field:author
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa450d1b38c8f9ecfa4831d",
  "author": "esatapedico",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "description": "Two compact no-MTP GGUFs of DavidAU Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored (TWIN-TURBO Fable Cold Fusion Heretic Uncensored, 709-L): BUDGET (Q3_K lm_head) and STARVED (Q2_K everything). Byte-identical 448-tensor native NVFP4 backbone, no MTP head, single-16GB friendly. 262,144 native context. Blackwell sm_120.",
    "language": [
      "en",
      "multilingual"
    ],
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "gguf",
      "nvfp4",
      "qwen3.8",
      "qwen3.5",
      "blackwell",
      "vision",
      "multimodal",
      "llama.cpp",
      "turbo",
      "twin-turbo",
      "fable",
      "cold-fusion"
    ]
  },
  "createdAt": "2026-09-11T19:04:49.000Z",
  "downloads": 1917,
  "gated": false,
  "id": "esatapedico/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-BUDGET-GGUF",
  "lastModified": "2026-09-15T20:14:19.000Z",
  "library_name": "gguf",
  "likes": 1,
  "modelId": "esatapedico/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-BUDGET-GGUF",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "113992fc9c6a67dde3fb8e05b3fb0e8b02162758",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-BUDGET.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-STARVED.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "gguf",
    "nvfp4",
    "qwen3.8",
    "qwen3.5",
    "blackwell",
    "vision",
    "multimodal",
    "llama.cpp",
    "turbo",
    "twin-turbo",
    "fable",
    "cold-fusion",
    "text-generation",
    "en",
    "multilingual",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Author
author
not compared
johnsun4414
receipt
Source
GGUF quantisations
Its words
johnsun4414
Read by
field:author
Said since
2026-10-02 12:01 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6abd0f44fb81ac260a9bae6c",
  "author": "johnsun4414",
  "cardData": {
    "base_model": [
      "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored"
    ],
    "datasets": [
      "DavidAU/Polar-STRICT-Datasets",
      "DavidAU/F451-STRICT-Datasets",
      "DavidAU/THE-DECKARD-Datasets"
    ],
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "unsloth",
      "fine tune",
      "heretic",
      "uncensored",
      "abliterated",
      "ara",
      "MTP GGUF Quants",
      "Regular GGUF Quants",
      "qwen3_8",
      "qwen3_6",
      "qwen3_5",
      "multi-stage tuned",
      "thinking",
      "reasoning",
      "all use cases",
      "coder",
      "creative",
      "creative writing",
      "all genres",
      "story",
      "writing",
      "fiction",
      "roleplaying",
      "bfloat16",
      "all use cases",
      "multi-stage-tune",
      "multi-state-merge"
    ]
  },
  "createdAt": "2026-09-30T13:31:48.000Z",
  "downloads": 4322,
  "gated": false,
  "id": "johnsun4414/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF",
  "lastModified": "2026-09-30T13:31:48.000Z",
  "likes": 2,
  "modelId": "johnsun4414/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "91ead7e6ade1374419bb7c5c6b2398feb8c8f7a9",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template-tturbo-v2.jinja"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "launch-arm.gif"
    },
    {
      "rfilename": "mmproj-BF16.gguf"
    },
    {
      "rfilename": "mmproj-F16.gguf"
    },
    {
      "rfilename": "mmproj-F32.gguf"
    }
  ],
  "tags": [
    "gguf",
    "unsloth",
    "fine tune",
    "heretic",
    "uncensored",
    "abliterated",
    "ara",
    "MTP GGUF Quants",
    "Regular GGUF Quants",
    "qwen3_8",
    "qwen3_6",
    "qwen3_5",
    "multi-stage tuned",
    "thinking",
    "reasoning",
    "all use cases",
    "coder",
    "creative",
    "creative writing",
    "all genres",
    "story",
    "writing",
    "fiction",
    "roleplaying",
    "bfloat16",
    "multi-stage-tune",
    "multi-state-merge",
    "image-text-to-text",
    "conversational",
    "en",
    "zh",
    "dataset:DavidAU/Polar-STRICT-Datasets",
    "dataset:DavidAU/F451-STRICT-Datasets",
    "dataset:DavidAU/THE-DECKARD-Datasets",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ]
}
—
Author
author
not compared
mradermacher
receipt
Source
GGUF quantisations
Its words
mradermacher
Read by
field:author
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa4f13b536927640b610cd7",
  "author": "mradermacher",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "datasets": [
      "DavidAU/Polar-STRICT-Datasets",
      "DavidAU/F451-STRICT-Datasets",
      "DavidAU/THE-DECKARD-Datasets"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "heretic",
      "qwen3_8",
      "qwen3_6",
      "uncensored",
      "finetune",
      "Cold Fusion",
      "GAIN Training",
      "Multi-stage tuning",
      "all use cases",
      "unsloth"
    ]
  },
  "createdAt": "2026-09-12T06:29:15.000Z",
  "downloads": 6902,
  "gated": false,
  "id": "mradermacher/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-i1-GGUF",
  "lastModified": "2026-09-12T11:00:45.000Z",
  "library_name": "transformers",
  "likes": 3,
  "modelId": "mradermacher/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-i1-GGUF",
  "private": false,
  "sha": "231bd881924c451ad02165662d79deda52a12227",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-IQ3_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q2_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q3_K_L.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q3_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q3_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_1.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.imatrix.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "heretic",
    "qwen3_8",
    "qwen3_6",
    "uncensored",
    "finetune",
    "Cold Fusion",
    "GAIN Training",
    "Multi-stage tuning",
    "all use cases",
    "unsloth",
    "en",
    "dataset:DavidAU/Polar-STRICT-Datasets",
    "dataset:DavidAU/F451-STRICT-Datasets",
    "dataset:DavidAU/THE-DECKARD-Datasets",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ]
}
—
Author
author
not compared
Hugging Face modelsDavidAU
receipt
Source
Hugging Face models
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Base
base
GGUF quantisationsDavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored
receipt
Source
GGUF quantisations
Its words
DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored
Read by
field:cardData.base_model[]
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa4f13b536927640b610cd7",
  "author": "mradermacher",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "datasets": [
      "DavidAU/Polar-STRICT-Datasets",
      "DavidAU/F451-STRICT-Datasets",
      "DavidAU/THE-DECKARD-Datasets"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "heretic",
      "qwen3_8",
      "qwen3_6",
      "uncensored",
      "finetune",
      "Cold Fusion",
      "GAIN Training",
      "Multi-stage tuning",
      "all use cases",
      "unsloth"
    ]
  },
  "createdAt": "2026-09-12T06:29:15.000Z",
  "downloads": 6902,
  "gated": false,
  "id": "mradermacher/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-i1-GGUF",
  "lastModified": "2026-09-12T11:00:45.000Z",
  "library_name": "transformers",
  "likes": 3,
  "modelId": "mradermacher/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-i1-GGUF",
  "private": false,
  "sha": "231bd881924c451ad02165662d79deda52a12227",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-IQ3_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q2_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q3_K_L.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q3_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q3_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_1.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.imatrix.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "heretic",
    "qwen3_8",
    "qwen3_6",
    "uncensored",
    "finetune",
    "Cold Fusion",
    "GAIN Training",
    "Multi-stage tuning",
    "all use cases",
    "unsloth",
    "en",
    "dataset:DavidAU/Polar-STRICT-Datasets",
    "dataset:DavidAU/F451-STRICT-Datasets",
    "dataset:DavidAU/THE-DECKARD-Datasets",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ]
}
—
Base
base
DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored, Jackrong/Qwopus3.8-27B-Flash
receipt
Source
GGUF quantisations
Its words
DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored, Jackrong/Qwopus3.8-27B-Flash
Read by
field:cardData.base_model[]
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa6c3895742475f97ada773",
  "author": "OliviaRossi",
  "cardData": {
    "base_model": [
      "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
      "Jackrong/Qwopus3.8-27B-Flash"
    ],
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "qwen",
      "qwen3.8",
      "gguf",
      "imatrix",
      "uncensored",
      "abliterated",
      "merge",
      "text-generation",
      "multimodal",
      "vision",
      "agentic",
      "tool-use"
    ]
  },
  "createdAt": "2026-09-13T15:38:49.000Z",
  "downloads": 2165,
  "gated": false,
  "id": "OliviaRossi/DoubleTrouble-GGUF",
  "lastModified": "2026-09-15T06:57:10.000Z",
  "likes": 4,
  "modelId": "OliviaRossi/DoubleTrouble-GGUF",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "2e4de52a58ea4051d41a06583e9e1a576ffe04bb",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "DoubleTrouble-BF16-00001-of-00002.gguf"
    },
    {
      "rfilename": "DoubleTrouble-BF16-00002-of-00002.gguf"
    },
    {
      "rfilename": "DoubleTrouble-GSQ-RCO-IQ3_XXS.gguf"
    },
    {
      "rfilename": "DoubleTrouble-IQ3_XXS.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    }
  ],
  "tags": [
    "gguf",
    "qwen",
    "qwen3.8",
    "imatrix",
    "uncensored",
    "abliterated",
    "merge",
    "text-generation",
    "multimodal",
    "vision",
    "agentic",
    "tool-use",
    "conversational",
    "en",
    "zh",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:merge:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:Jackrong/Qwopus3.8-27B-Flash",
    "base_model:merge:Jackrong/Qwopus3.8-27B-Flash",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}
—
Downloads
downloads
not compared
GGUF quantisations15792
receipt
Source
GGUF quantisations
Its words
15792
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa3d58fe4697e4666f59812",
  "author": "esatapedico",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "description": "Six GGUFs of DavidAU's Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored (TWIN-TURBO Fable Cold Fusion Heretic Uncensored, 709 arc-c class): NVFP4 family with a per-tier quality ladder for lm_head / token_embd / MTP head. All six tiers share a byte-identical 448-tensor native-NVFP4 backbone. MTP speculative decoding baked into every file. Pairs with the original Qwen3.8 vision projector. Blackwell sm_120.",
    "language": [
      "en",
      "multilingual"
    ],
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "gguf",
      "nvfp4",
      "qwen3.8",
      "qwen3.5",
      "blackwell",
      "mtp",
      "speculative-decoding",
      "turbo",
      "twin-turbo",
      "fable",
      "cold-fusion",
      "llama.cpp"
    ]
  },
  "createdAt": "2026-09-11T10:18:55.000Z",
  "downloads": 15792,
  "gated": false,
  "id": "esatapedico/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-GGUF",
  "lastModified": "2026-09-15T20:14:14.000Z",
  "library_name": "gguf",
  "likes": 12,
  "modelId": "esatapedico/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-GGUF",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "d4c5b8eace46a46e43afb560aac4348662dc89d2",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-HIGH.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-LOW.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-MEDIUM.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-MID-HIGH.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-VERY-HIGH.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-VERY-LOW.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "gguf",
    "nvfp4",
    "qwen3.8",
    "qwen3.5",
    "blackwell",
    "mtp",
    "speculative-decoding",
    "turbo",
    "twin-turbo",
    "fable",
    "cold-fusion",
    "llama.cpp",
    "text-generation",
    "en",
    "multilingual",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Downloads
downloads
not compared
1917
receipt
Source
GGUF quantisations
Its words
1917
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa450d1b38c8f9ecfa4831d",
  "author": "esatapedico",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "description": "Two compact no-MTP GGUFs of DavidAU Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored (TWIN-TURBO Fable Cold Fusion Heretic Uncensored, 709-L): BUDGET (Q3_K lm_head) and STARVED (Q2_K everything). Byte-identical 448-tensor native NVFP4 backbone, no MTP head, single-16GB friendly. 262,144 native context. Blackwell sm_120.",
    "language": [
      "en",
      "multilingual"
    ],
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "gguf",
      "nvfp4",
      "qwen3.8",
      "qwen3.5",
      "blackwell",
      "vision",
      "multimodal",
      "llama.cpp",
      "turbo",
      "twin-turbo",
      "fable",
      "cold-fusion"
    ]
  },
  "createdAt": "2026-09-11T19:04:49.000Z",
  "downloads": 1917,
  "gated": false,
  "id": "esatapedico/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-BUDGET-GGUF",
  "lastModified": "2026-09-15T20:14:19.000Z",
  "library_name": "gguf",
  "likes": 1,
  "modelId": "esatapedico/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-BUDGET-GGUF",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "113992fc9c6a67dde3fb8e05b3fb0e8b02162758",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-BUDGET.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-STARVED.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "gguf",
    "nvfp4",
    "qwen3.8",
    "qwen3.5",
    "blackwell",
    "vision",
    "multimodal",
    "llama.cpp",
    "turbo",
    "twin-turbo",
    "fable",
    "cold-fusion",
    "text-generation",
    "en",
    "multilingual",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Downloads
downloads
not compared
1970
receipt
Source
GGUF quantisations
Its words
1970
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa363a30a0dccd3718e7390",
  "author": "Solstice-AI",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "datasets": [
      "Solstice-AI/Solace-1.0-Omni"
    ],
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "solstice-ai",
      "davidau",
      "qwen",
      "qwen3.8",
      "qwen3.8-27b",
      "cold-fusion",
      "gain",
      "project-heretic",
      "heretic",
      "uncensored",
      "abliterated",
      "fable",
      "cot",
      "reasoning",
      "coding",
      "gguf",
      "llama.cpp",
      "ollama",
      "mtp",
      "multi-token-prediction",
      "speculative-decoding",
      "vision",
      "multimodal",
      "mmproj",
      "q8_0",
      "q6_k",
      "q5_k_m",
      "q4_k_m",
      "arc-challenge",
      "709-arc"
    ]
  },
  "createdAt": "2026-09-11T02:12:51.000Z",
  "downloads": 1970,
  "gated": false,
  "id": "Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-Uncensored-UltraOptimised-VariableThinking-1M",
  "lastModified": "2026-09-12T15:00:05.000Z",
  "likes": 4,
  "modelId": "Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-Uncensored-UltraOptimised-VariableThinking-1M",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "dc40092510a20ccb65d17090bed595c6f2fd3783",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "mmproj-BF16.gguf"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "vocab.json"
    }
  ],
  "tags": [
    "gguf",
    "solstice-ai",
    "davidau",
    "qwen",
    "qwen3.8",
    "qwen3.8-27b",
    "cold-fusion",
    "gain",
    "project-heretic",
    "heretic",
    "uncensored",
    "abliterated",
    "fable",
    "cot",
    "reasoning",
    "coding",
    "llama.cpp",
    "ollama",
    "mtp",
    "multi-token-prediction",
    "speculative-decoding",
    "vision",
    "multimodal",
    "mmproj",
    "q8_0",
    "q6_k",
    "q5_k_m",
    "q4_k_m",
    "arc-challenge",
    "709-arc",
    "image-text-to-text",
    "conversational",
    "en",
    "zh",
    "dataset:Solstice-AI/Solace-1.0-Omni",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "region:us"
  ]
}
—
Downloads
downloads
not compared
203773
receipt
Source
GGUF quantisations
Its words
203773
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa2555d942797ca6672756f",
  "author": "DavidAU",
  "cardData": {
    "base_model": [
      "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored"
    ],
    "datasets": [
      "DavidAU/Polar-STRICT-Datasets",
      "DavidAU/F451-STRICT-Datasets",
      "DavidAU/THE-DECKARD-Datasets"
    ],
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "unsloth",
      "fine tune",
      "heretic",
      "uncensored",
      "abliterated",
      "ara",
      "MTP GGUF Quants",
      "Regular GGUF Quants",
      "qwen3_8",
      "qwen3_6",
      "qwen3_5",
      "multi-stage tuned",
      "thinking",
      "reasoning",
      "all use cases",
      "coder",
      "creative",
      "creative writing",
      "all genres",
      "story",
      "writing",
      "fiction",
      "roleplaying",
      "bfloat16",
      "all use cases",
      "multi-stage-tune",
      "multi-state-merge"
    ]
  },
  "createdAt": "2026-09-10T06:59:41.000Z",
  "downloads": 203773,
  "gated": false,
  "id": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF",
  "lastModified": "2026-09-17T07:52:26.000Z",
  "likes": 201,
  "modelId": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "3e10f00b6620562e28d5132e077d8cc61a568881",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template-tturbo-v2.jinja"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "launch-arm.gif"
    },
    {
      "rfilename": "mmproj-BF16.gguf"
    },
    {
      "rfilename": "mmproj-F16.gguf"
    },
    {
      "rfilename": "mmproj-F32.gguf"
    }
  ],
  "tags": [
    "gguf",
    "unsloth",
    "fine tune",
    "heretic",
    "uncensored",
    "abliterated",
    "ara",
    "MTP GGUF Quants",
    "Regular GGUF Quants",
    "qwen3_8",
    "qwen3_6",
    "qwen3_5",
    "multi-stage tuned",
    "thinking",
    "reasoning",
    "all use cases",
    "coder",
    "creative",
    "creative writing",
    "all genres",
    "story",
    "writing",
    "fiction",
    "roleplaying",
    "bfloat16",
    "multi-stage-tune",
    "multi-state-merge",
    "image-text-to-text",
    "conversational",
    "en",
    "zh",
    "dataset:DavidAU/Polar-STRICT-Datasets",
    "dataset:DavidAU/F451-STRICT-Datasets",
    "dataset:DavidAU/THE-DECKARD-Datasets",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ]
}
—
Downloads
downloads
not compared
2165
receipt
Source
GGUF quantisations
Its words
2165
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa6c3895742475f97ada773",
  "author": "OliviaRossi",
  "cardData": {
    "base_model": [
      "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
      "Jackrong/Qwopus3.8-27B-Flash"
    ],
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "qwen",
      "qwen3.8",
      "gguf",
      "imatrix",
      "uncensored",
      "abliterated",
      "merge",
      "text-generation",
      "multimodal",
      "vision",
      "agentic",
      "tool-use"
    ]
  },
  "createdAt": "2026-09-13T15:38:49.000Z",
  "downloads": 2165,
  "gated": false,
  "id": "OliviaRossi/DoubleTrouble-GGUF",
  "lastModified": "2026-09-15T06:57:10.000Z",
  "likes": 4,
  "modelId": "OliviaRossi/DoubleTrouble-GGUF",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "2e4de52a58ea4051d41a06583e9e1a576ffe04bb",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "DoubleTrouble-BF16-00001-of-00002.gguf"
    },
    {
      "rfilename": "DoubleTrouble-BF16-00002-of-00002.gguf"
    },
    {
      "rfilename": "DoubleTrouble-GSQ-RCO-IQ3_XXS.gguf"
    },
    {
      "rfilename": "DoubleTrouble-IQ3_XXS.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    }
  ],
  "tags": [
    "gguf",
    "qwen",
    "qwen3.8",
    "imatrix",
    "uncensored",
    "abliterated",
    "merge",
    "text-generation",
    "multimodal",
    "vision",
    "agentic",
    "tool-use",
    "conversational",
    "en",
    "zh",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:merge:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:Jackrong/Qwopus3.8-27B-Flash",
    "base_model:merge:Jackrong/Qwopus3.8-27B-Flash",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}
—
Downloads
downloads
not compared
2670
receipt
Source
GGUF quantisations
Its words
2670
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa3fabeb38c8f9ecf9778fe",
  "author": "mradermacher",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "datasets": [
      "DavidAU/Polar-STRICT-Datasets",
      "DavidAU/F451-STRICT-Datasets",
      "DavidAU/THE-DECKARD-Datasets"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "heretic",
      "qwen3_8",
      "qwen3_6",
      "uncensored",
      "finetune",
      "Cold Fusion",
      "GAIN Training",
      "Multi-stage tuning",
      "all use cases",
      "unsloth"
    ]
  },
  "createdAt": "2026-09-11T12:57:34.000Z",
  "downloads": 2670,
  "gated": false,
  "id": "mradermacher/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-GGUF",
  "lastModified": "2026-09-12T06:59:38.000Z",
  "library_name": "transformers",
  "likes": 3,
  "modelId": "mradermacher/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-GGUF",
  "private": false,
  "sha": "ed7fb632160930c5357c1d9bcf2b7c6995986ef0",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.Q2_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.Q3_K_L.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.Q3_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.Q3_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.mmproj-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.mmproj-f16.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "heretic",
    "qwen3_8",
    "qwen3_6",
    "uncensored",
    "finetune",
    "Cold Fusion",
    "GAIN Training",
    "Multi-stage tuning",
    "all use cases",
    "unsloth",
    "en",
    "dataset:DavidAU/Polar-STRICT-Datasets",
    "dataset:DavidAU/F451-STRICT-Datasets",
    "dataset:DavidAU/THE-DECKARD-Datasets",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Downloads
downloads
not compared
4322
receipt
Source
GGUF quantisations
Its words
4322
Read by
field:downloads
Said since
2026-10-05 12:24 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
2026-10-05 12:24 UTC4322
2026-10-04 12:16 UTC4073
2026-10-03 12:09 UTC3989
2026-10-02 12:01 UTC3706
What the source handed over
{
  "_id": "6abd0f44fb81ac260a9bae6c",
  "author": "johnsun4414",
  "cardData": {
    "base_model": [
      "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored"
    ],
    "datasets": [
      "DavidAU/Polar-STRICT-Datasets",
      "DavidAU/F451-STRICT-Datasets",
      "DavidAU/THE-DECKARD-Datasets"
    ],
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "unsloth",
      "fine tune",
      "heretic",
      "uncensored",
      "abliterated",
      "ara",
      "MTP GGUF Quants",
      "Regular GGUF Quants",
      "qwen3_8",
      "qwen3_6",
      "qwen3_5",
      "multi-stage tuned",
      "thinking",
      "reasoning",
      "all use cases",
      "coder",
      "creative",
      "creative writing",
      "all genres",
      "story",
      "writing",
      "fiction",
      "roleplaying",
      "bfloat16",
      "all use cases",
      "multi-stage-tune",
      "multi-state-merge"
    ]
  },
  "createdAt": "2026-09-30T13:31:48.000Z",
  "downloads": 4322,
  "gated": false,
  "id": "johnsun4414/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF",
  "lastModified": "2026-09-30T13:31:48.000Z",
  "likes": 2,
  "modelId": "johnsun4414/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "91ead7e6ade1374419bb7c5c6b2398feb8c8f7a9",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template-tturbo-v2.jinja"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "launch-arm.gif"
    },
    {
      "rfilename": "mmproj-BF16.gguf"
    },
    {
      "rfilename": "mmproj-F16.gguf"
    },
    {
      "rfilename": "mmproj-F32.gguf"
    }
  ],
  "tags": [
    "gguf",
    "unsloth",
    "fine tune",
    "heretic",
    "uncensored",
    "abliterated",
    "ara",
    "MTP GGUF Quants",
    "Regular GGUF Quants",
    "qwen3_8",
    "qwen3_6",
    "qwen3_5",
    "multi-stage tuned",
    "thinking",
    "reasoning",
    "all use cases",
    "coder",
    "creative",
    "creative writing",
    "all genres",
    "story",
    "writing",
    "fiction",
    "roleplaying",
    "bfloat16",
    "multi-stage-tune",
    "multi-state-merge",
    "image-text-to-text",
    "conversational",
    "en",
    "zh",
    "dataset:DavidAU/Polar-STRICT-Datasets",
    "dataset:DavidAU/F451-STRICT-Datasets",
    "dataset:DavidAU/THE-DECKARD-Datasets",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ]
}
—
Downloads
downloads
not compared
5187
receipt
Source
GGUF quantisations
Its words
5187
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa361c6affc90ead2f666fe",
  "author": "Solstice-AI",
  "cardData": {
    "base_model": [
      "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored"
    ],
    "datasets": [
      "DavidAU/Polar-STRICT-Datasets",
      "DavidAU/F451-STRICT-Datasets",
      "DavidAU/THE-DECKARD-Datasets"
    ],
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "unsloth",
      "fine tune",
      "heretic",
      "uncensored",
      "abliterated",
      "ara",
      "MTP GGUF Quants",
      "Regular GGUF Quants",
      "qwen3_8",
      "qwen3_6",
      "qwen3_5",
      "multi-stage tuned",
      "thinking",
      "reasoning",
      "all use cases",
      "coder",
      "creative",
      "creative writing",
      "all genres",
      "story",
      "writing",
      "fiction",
      "roleplaying",
      "bfloat16",
      "all use cases",
      "multi-stage-tune",
      "multi-state-merge"
    ]
  },
  "createdAt": "2026-09-11T02:04:54.000Z",
  "downloads": 5187,
  "gated": false,
  "id": "Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-NM-DAU-UltraOptimised-VariableThinking-GGUF",
  "lastModified": "2026-09-12T15:00:01.000Z",
  "likes": 2,
  "modelId": "Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-NM-DAU-UltraOptimised-VariableThinking-GGUF",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "aaa82e5af87398b97cfa4c44dc3cfc4df6e3a95d",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ4_NL.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q8_0.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "launch-arm.gif"
    },
    {
      "rfilename": "mmproj-BF16.gguf"
    },
    {
      "rfilename": "mmproj-F16.gguf"
    },
    {
      "rfilename": "mmproj-F32.gguf"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "tags": [
    "gguf",
    "unsloth",
    "fine tune",
    "heretic",
    "uncensored",
    "abliterated",
    "ara",
    "MTP GGUF Quants",
    "Regular GGUF Quants",
    "qwen3_8",
    "qwen3_6",
    "qwen3_5",
    "multi-stage tuned",
    "thinking",
    "reasoning",
    "all use cases",
    "coder",
    "creative",
    "creative writing",
    "all genres",
    "story",
    "writing",
    "fiction",
    "roleplaying",
    "bfloat16",
    "multi-stage-tune",
    "multi-state-merge",
    "image-text-to-text",
    "conversational",
    "en",
    "zh",
    "dataset:DavidAU/Polar-STRICT-Datasets",
    "dataset:DavidAU/F451-STRICT-Datasets",
    "dataset:DavidAU/THE-DECKARD-Datasets",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ]
}
—
Downloads
downloads
not compared
613
receipt
Source
GGUF quantisations
Its words
613
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa35e8456a930207af9f123",
  "author": "Solstice-AI",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "solstice-ai",
      "davidau",
      "qwen",
      "qwen3.8",
      "qwen3.8-27b",
      "cold-fusion",
      "gain",
      "project-heretic",
      "heretic",
      "uncensored",
      "mxfp4",
      "ocp",
      "microscaling",
      "vllm",
      "sglang",
      "compressed-tensors",
      "4-bit",
      "vision",
      "multimodal",
      "mmproj"
    ]
  },
  "createdAt": "2026-09-11T01:51:00.000Z",
  "downloads": 613,
  "gated": false,
  "id": "Solstice-AI/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-MXFP4",
  "lastModified": "2026-09-11T09:42:05.000Z",
  "likes": 0,
  "modelId": "Solstice-AI/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-MXFP4",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "ae6f603abfd3fc7f60d7569af15fd1f87ac9b0f7",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "mmproj-BF16.gguf"
    },
    {
      "rfilename": "model-mtp-restored.safetensors"
    },
    {
      "rfilename": "preprocessor_config.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "video_preprocessor_config.json"
    },
    {
      "rfilename": "vocab.json"
    }
  ],
  "tags": [
    "gguf",
    "qwen3_5",
    "solstice-ai",
    "davidau",
    "qwen",
    "qwen3.8",
    "qwen3.8-27b",
    "cold-fusion",
    "gain",
    "project-heretic",
    "heretic",
    "uncensored",
    "mxfp4",
    "ocp",
    "microscaling",
    "vllm",
    "sglang",
    "compressed-tensors",
    "4-bit",
    "vision",
    "multimodal",
    "mmproj",
    "image-text-to-text",
    "conversational",
    "en",
    "zh",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "region:us"
  ]
}
—
Downloads
downloads
not compared
6902
receipt
Source
GGUF quantisations
Its words
6902
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa4f13b536927640b610cd7",
  "author": "mradermacher",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "datasets": [
      "DavidAU/Polar-STRICT-Datasets",
      "DavidAU/F451-STRICT-Datasets",
      "DavidAU/THE-DECKARD-Datasets"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "heretic",
      "qwen3_8",
      "qwen3_6",
      "uncensored",
      "finetune",
      "Cold Fusion",
      "GAIN Training",
      "Multi-stage tuning",
      "all use cases",
      "unsloth"
    ]
  },
  "createdAt": "2026-09-12T06:29:15.000Z",
  "downloads": 6902,
  "gated": false,
  "id": "mradermacher/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-i1-GGUF",
  "lastModified": "2026-09-12T11:00:45.000Z",
  "library_name": "transformers",
  "likes": 3,
  "modelId": "mradermacher/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-i1-GGUF",
  "private": false,
  "sha": "231bd881924c451ad02165662d79deda52a12227",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-IQ3_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q2_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q3_K_L.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q3_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q3_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_1.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.imatrix.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "heretic",
    "qwen3_8",
    "qwen3_6",
    "uncensored",
    "finetune",
    "Cold Fusion",
    "GAIN Training",
    "Multi-stage tuning",
    "all use cases",
    "unsloth",
    "en",
    "dataset:DavidAU/Polar-STRICT-Datasets",
    "dataset:DavidAU/F451-STRICT-Datasets",
    "dataset:DavidAU/THE-DECKARD-Datasets",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ]
}
—
Downloads
downloads
not compared
969
receipt
Source
GGUF quantisations
Its words
969
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa35e839ae58be5adafa219",
  "author": "Solstice-AI",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "solstice-ai",
      "davidau",
      "qwen",
      "qwen3.8",
      "qwen3.8-27b",
      "cold-fusion",
      "gain",
      "project-heretic",
      "heretic",
      "uncensored",
      "nvfp4",
      "fp4",
      "blackwell",
      "rtx-5090",
      "vllm",
      "sglang",
      "compressed-tensors",
      "4-bit",
      "yarn",
      "1m-context",
      "1-million-tokens",
      "vision",
      "multimodal",
      "mmproj"
    ]
  },
  "createdAt": "2026-09-11T01:50:59.000Z",
  "downloads": 969,
  "gated": false,
  "id": "Solstice-AI/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-1M",
  "lastModified": "2026-09-11T09:41:50.000Z",
  "likes": 1,
  "modelId": "Solstice-AI/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-1M",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "22020fba621cb8607c3073099e609342403980b0",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "mmproj-BF16.gguf"
    },
    {
      "rfilename": "model-mtp-restored.safetensors"
    },
    {
      "rfilename": "preprocessor_config.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "video_preprocessor_config.json"
    },
    {
      "rfilename": "vocab.json"
    }
  ],
  "tags": [
    "gguf",
    "qwen3_5",
    "solstice-ai",
    "davidau",
    "qwen",
    "qwen3.8",
    "qwen3.8-27b",
    "cold-fusion",
    "gain",
    "project-heretic",
    "heretic",
    "uncensored",
    "nvfp4",
    "fp4",
    "blackwell",
    "rtx-5090",
    "vllm",
    "sglang",
    "compressed-tensors",
    "4-bit",
    "yarn",
    "1m-context",
    "1-million-tokens",
    "vision",
    "multimodal",
    "mmproj",
    "image-text-to-text",
    "conversational",
    "en",
    "zh",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "region:us"
  ]
}
—
Downloads
downloads
not compared
Hugging Face models1821
receipt
Source
Hugging Face models
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Downloads
downloads
not compared
2376
receipt
Source
Hugging Face models
Its words
2376
Read by
field:downloads
Said since
2026-10-04 12:16 UTC
Original
open at the source
2026-10-04 12:16 UTC2376
2026-10-03 18:10 UTC2352
2026-10-02 12:02 UTC2332
What the source handed over
{
  "_asked": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
  "_id": "6a94f99e86947dfa9d849a5f",
  "author": "DavidAU",
  "cardData": {
    "base_model": [
      "DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU"
    ],
    "datasets": [
      "DavidAU/Polar-STRICT-Datasets",
      "DavidAU/F451-STRICT-Datasets",
      "DavidAU/THE-DECKARD-Datasets"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "heretic",
      "qwen3_8",
      "qwen3_6",
      "uncensored",
      "finetune",
      "Cold Fusion",
      "GAIN Training",
      "Multi-stage tuning",
      "all use cases",
      "unsloth"
    ]
  },
  "config": {
    "architectures": [
      "Qwen3_5ForConditionalGeneration"
    ],
    "chat_template_jinja": "{# Define the hardcoded thinking instructions - DAU=einstein, DAU2=spoon #}\n{%- set system_instruction_DAU -%}\n[SYSTEM]\n[Temperature: 1.25]\n[TopP: .2]\n[PERSONA]Brainstormer takes in a notion, applies a bunch of perspective agents set to improve it by seeking novelty, and spits out a bunch of improved creative ideas.\n\nSKILLS:\n[Advert]-[DigMrk]-[SEO]-[SEM]-[PITCHES]-[CREATIVITY]-[BURSTINESS]-[PERPLEXITY]-[AVOIDHGHCORRELATE]-[HUMPRTXT]-[CONTENTGEN]\n\n[Task]\ngE: Silent input → Spawn 20 agents Sternberg Styles → Enhance idea → Seek Novel Emergence NE:unique/significant idea/concept → Ponder, assess, creative enhance notions → Refined idea => IdeaArray[].size=20 elements,  else → Interesting? Pass to rand. agent for refinement, else discard.=>output(IdeaArray)[/Task]\n\n[Task]Request input[/Task]\n\ngE(input) > response\n\nThink deeply and carefully about the user's request using \"gE(input)\" and ponder all the possiblities, evaluate them one by one. Draft your first response, then evaluate it and adjust if required.\nCompose your thoughts (which should be at least 5000 tokens) about the user's prompt between <think> and </think> tags, then output the final answer based on your thoughts.\n{%- endset -%}\n{# Define the hardcoded thinking instructions -DAU2=spoon #}\n{%- set system_instruction_DAU2 -%}\nReasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.\n\nIMPORTANT INSTRUCTIONS:\nYou are Qwen Deep Research, a careful local 27B Qwen reasoning assistant optimized for high-quality, structured research answers.\nYour goal is to produce accurate, well-reasoned, practical results by internally simulating a focused multi-expert research process. Do not claim to be a real human panel. Use “virtual experts” as reasoning perspectives.\n\nFor every user request, internally follow this Deep Research Protocol:\n\n1. Frame the task\n   - Identify the user's core request, intended field, constraints, desired output format, and success criteria.\n   - Note ambiguities, missing context, risks, and possible misunderstandings.\n   - If one brief clarifying question would materially improve the result, ask it. Otherwise proceed with clearly stated assumptions.\n   - Rate the user's core request of complexity on a scale of 1 to 5, with 5 being highest AND EXPAND the reasoning and detail levels according to this scale.\n\n2. Create a field-specific expert panel\n   - Build 3 to 5 virtual experts relevant to the user's domain.\n   - Adapt the roles to the task. Examples:\n     - Domain expert\n     - Research methodologist\n     - Engineer / developer\n     - Risk / compliance / ethics analyst\n     - Critic / red-team reviewer\n     - Communicator / final-answer synthesizer\n   - Each expert should focus on a different strength, not repeat the same point.\n\n3. Panel discussion of the user's prompt\n   - Have the panel discuss what the user is really asking.\n   - Identify likely failure modes, edge cases, hidden assumptions, and required evidence.\n   - If experts disagree, resolve the disagreement by favoring correctness, usefulness, safety, clarity, and practicality.\n\n4. Generate candidate solutions\n   - Produce 2 to 3 distinct candidate answers, plans, approaches, or solutions.\n   - For each candidate, include:\n     - Main idea\n     - Assumptions\n     - Key steps or components\n     - Strengths\n     - Weaknesses or risks\n\n5. Evaluate the candidates\n   - Score each candidate 1 to 5 on:\n     - Correctness\n     - Completeness\n     - Practical usefulness\n     - Safety / compliance\n     - Clarity\n     - Efficiency\n   - Identify the best candidate and explain why it is superior.\n\n6. Double-check the selected solution\n   - Re-verify important facts, logic, calculations, code, dates, units, dependencies, and edge cases.\n   - Check for hallucinated sources, invented numbers, unsupported claims, contradictions, and missing constraints.\n   - For code, mentally execute or trace the logic and note likely failure points.\n   - For medical, legal, financial, safety-critical, or high-stakes topics, add appropriate cautions and recommend qualified professional review.\n\n7. Output the result\n   - Provide the final result in the format the user requested.\n   - If the user did not specify a format, use this structure:\n\n     Final Answer\n     Brief explanation\n     Key assumptions\n     Recommended next steps\n     Confidence level / verification needed\n\nOperating rules:\n- Minimum size of the thinking/reasoning/eval block is 5000 words.\n- Be concrete, specific, and useful.\n- Do not claim live internet access unless the host system actually provides it.\n- Do not invent citations, sources, statistics, benchmarks, or facts.\n- If uncertain, state the uncertainty clearly and explain what evidence would confirm or disprove the claim.\n- Keep the internal expert panel compact and purposeful. Do not loop indefinitely.\n- SHOW hidden chain-of-thought processes.\n- For code, provide minimal working examples when possible and mention required environment or dependencies.\n- For ambiguous prompts, state the interpretation you chose before answering.\n- Optimize for reliability: prefer clear structure, bounded reasoning, and concise final output.\n{%- endset -%}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n    {%- if content is string %}\n        {{- content }}\n    {%- elif content is iterable and content is not mapping %}\n        {%- for item in content %}\n            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain images.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set image_count.value = image_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Picture ' ~ image_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n            {%- elif 'video' in item or item.type == 'video' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain videos.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set video_count.value = video_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Video ' ~ video_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n            {%- elif 'text' in item %}\n                {{- item.text }}\n            {%- else %}\n                {{- raise_exception('Unexpected item type in content.') }}\n            {%- endif %}\n        {%- endfor %}\n    {%- elif content is none or content is undefined %}\n        {{- '' }}\n    {%- else %}\n        {{- raise_exception('Unexpected content type.') }}\n    {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n    {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{% set store = namespace(messages=[], reasoning_effort=\"\", enable_thinking=true) %}\n{% for msg in messages %}\n  {% set raw_reason = \"\" %}\n  {% set txt = render_content(msg.content, false) | trim %}\n  {% if (msg.role == 'user' and \"{REASON:\" in txt) %}\n  {% set after_tag = txt.split(\"{REASON:\") %}\n  {% set candidate = after_tag[1].split(\"}\")[0] %}\n  {% set candidate_key = candidate[1:] if candidate.startswith('i') else candidate %}\n  {% if candidate and candidate_key in ('xhigh', 'medium', 'low', 'einstein', 'spoon') %}\n    {% set raw_reason = candidate %}\n    {% set tag = \"{REASON:\" ~ raw_reason ~ \"}\" %}\n    {% set clean_txt = txt.replace(tag, \"\") | trim %}\n    {% set store.messages = store.messages + [{\"role\": msg.role, \"content\": clean_txt}] %}\n  {% endif %}\n  {% else %}\n    {% set store.messages = store.messages + [msg] %}\n  {% endif %}\n  {% if raw_reason %}\n    {% if raw_reason.startswith('i') %}\n      {% set store.reasoning_effort = raw_reason[1:] %}\n      {% set store.enable_thinking = false %}\n    {% else %}\n      {% set store.reasoning_effort = raw_reason %}\n      {% set store.enable_thinking = true %}\n    {% endif %}\n  {% endif %}\n{% endfor %}\n{% set messages = store.messages %}\n{% if store.reasoning_effort %}\n  {% set reasoning_effort = store.reasoning_effort %}\n  {% set enable_thinking = store.enable_thinking %}\n{% endif %}\n{%- set reasoning_instructions = '' %}\n{%- if enable_thinking is undefined or enable_thinking is true %}\n    {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}\n    {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low','einstein','spoon') %}\n        {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low PLUS einstein and spoon.') }}\n    {%- endif %}\n    {%- if resolved_reasoning_effort == 'einstein' %}\n        {%- set reasoning_instructions = system_instruction_DAU %}\n    {%- elif resolved_reasoning_effort == 'spoon' %}\n        {%- set reasoning_instructions = system_instruction_DAU2 %}\n    {%- elif resolved_reasoning_effort == 'xhigh' %}\n        {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}\n    {%- elif resolved_reasoning_effort == 'low' %}\n        {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}\n    {%- endif %}\n{%- endif %}\n{%- if enable_thinking is false %}\n    {%- set resolved_reasoning_effort = reasoning_effort|default('medium') %}\n    {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low','einstein','spoon') %}\n        {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low PLUS einstein and spoon.') }}\n    {%- endif %}\n    {%- if resolved_reasoning_effort == 'einstein' %}\n        {%- set reasoning_instructions = system_instruction_DAU %}\n    {%- elif resolved_reasoning_effort == 'spoon' %}\n        {%- set reasoning_instructions = system_instruction_DAU2 %}\n    {%- elif resolved_reasoning_effort == 'xhigh' %}\n        {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}\n    {%- elif resolved_reasoning_effort == 'low' %}\n        {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}\n    {%- endif %}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if reasoning_instructions %}\n        {{- reasoning_instructions + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\" }}\n    {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {%- if content %}\n            {{- '\\n\\n' + content }}\n        {%- endif %}\n    {%- endif %}\n    {{- '<|im_end|>\\n' }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {%- if content %}\n            {{- '<|im_start|>system\\n' + (reasoning_instructions + '\\n\\n' if reasoning_instructions else '')  + content + '<|im_end|>\\n' }}\n        {%- elif reasoning_instructions %}\n            {{- '<|im_start|>system\\n' + reasoning_instructions + '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- elif reasoning_instructions %}\n        {{- '<|im_start|>system\\n' + reasoning_instructions + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" %}\n        {%- set content = render_content(message.content, false)|trim %}\n        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n            {%- set ns.multi_step_tool = false %}\n            {%- set ns.last_query_index = index %}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n    {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n    {%- set content = render_content(message.content, true)|trim %}\n    {%- if message.role == \"system\" %}\n        {%- if not loop.first %}\n            {{- raise_exception('System message must be at the beginning.') }}\n        {%- endif %}\n    {%- elif message.role == \"user\" %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is string %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- endif %}\n        {%- set reasoning_content = reasoning_content|trim %}\n        {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %}\n            {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if tool_call.function is defined %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {%- if loop.first %}\n                    {%- if content|trim %}\n                        {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                    {%- else %}\n                        {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                    {%- endif %}\n                {%- else %}\n                    {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                {%- endif %}\n                {%- if tool_call.arguments is defined and tool_call.arguments != '' %}\n                    {%- for args_name, args_value in tool_call.arguments|items %}\n                        {{- '<parameter=' + args_name + '>\\n' }}\n                        {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}\n                        {{- args_value }}\n                        {{- '\\n</parameter>\\n' }}\n                    {%- endfor %}\n                {%- endif %}\n                {{- '</function>\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n            {{- '<|im_end|>\\n' }}\n        {%- elif loop.last %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- else %}\n        {{- raise_exception('Unexpected message role.') }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- else %}\n        {{- '<think>\\n' }}\n    {%- endif %}\n{%- endif %}",
    "model_type": "qwen3_5",
    "tokenizer_config": {
      "bos_token": null,
      "eos_token": "<|im_end|>",
      "pad_token": "<|endoftext|>",
      "unk_token": null
    }
  },
  "createdAt": "2026-08-31T03:48:46.000Z",
  "disabled": false,
  "downloads": 2376,
  "gated": false,
  "id": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
  "lastModified": "2026-09-16T23:42:56.000Z",
  "library_name": "transformers",
  "likes": 69,
  "model-index": null,
  "modelId": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 27781427952
    },
    "total": 27781427952
  },
  "sha": "d41b326cb999f4e73b3e805fa215e8307177a11a",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template-tturbo-v2.jinja"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "liftoff-cooking.gif"
    },
    {
      "rfilename": "model-00001-of-00012.safetensors"
    },
    {
      "rfilename": "model-00002-of-00012.safetensors"
    },
    {
      "rfilename": "model-00003-of-00012.safetensors"
    },
    {
      "rfilename": "model-00004-of-00012.safetensors"
    },
    {
      "rfilename": "model-00005-of-00012.safetensors"
    },
    {
      "rfilename": "model-00006-of-00012.safetensors"
    },
    {
      "rfilename": "model-00007-of-00012.safetensors"
    },
    {
      "rfilename": "model-00008-of-00012.safetensors"
    },
    {
      "rfilename": "model-00009-of-00012.safetensors"
    },
    {
      "rfilename": "model-00010-of-00012.safetensors"
    },
    {
      "rfilename": "model-00011-of-00012.safetensors"
    },
    {
      "rfilename": "model-00012-of-00012.safetensors"
    },
    {
      "rfilename": "model-mtp-restored.safetensors"
    },
    {
      "rfilename": "model.safetensors.index.json"
    },
    {
      "rfilename": "preprocessor_config.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "video_preprocessor_config.json"
    },
    {
      "rfilename": "vocab.json"
    }
  ],
  "spaces": [
    "tardellirs/model-pulse"
  ],
  "tags": [
    "transformers",
    "safetensors",
    "qwen3_5",
    "image-text-to-text",
    "heretic",
    "qwen3_8",
    "qwen3_6",
    "uncensored",
    "finetune",
    "Cold Fusion",
    "GAIN Training",
    "Multi-stage tuning",
    "all use cases",
    "unsloth",
    "conversational",
    "en",
    "dataset:DavidAU/Polar-STRICT-Datasets",
    "dataset:DavidAU/F451-STRICT-Datasets",
    "dataset:DavidAU/THE-DECKARD-Datasets",
    "base_model:DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU",
    "base_model:finetune:DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForMultimodalLM",
    "pipeline_tag": "image-text-to-text",
    "processor": "AutoProcessor"
  },
  "usedStorage": 55577228584,
  "widgetData": [
    {
      "text": "Hi, what can you help me with?"
    },
    {
      "text": "What is 84 * 3 / 2?"
    },
    {
      "text": "Tell me an interesting fact about the universe!"
    },
    {
      "text": "Explain quantum computing in simple terms."
    }
  ]
}
—
Gated
gated
Hugging Face modelsfalse
receipt
Source
Hugging Face models
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Licence
licence
GGUF quantisationsapache-2.0
receipt
Source
GGUF quantisations
Its words
apache-2.0
Read by
field:cardData.license
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa6c3895742475f97ada773",
  "author": "OliviaRossi",
  "cardData": {
    "base_model": [
      "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
      "Jackrong/Qwopus3.8-27B-Flash"
    ],
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "qwen",
      "qwen3.8",
      "gguf",
      "imatrix",
      "uncensored",
      "abliterated",
      "merge",
      "text-generation",
      "multimodal",
      "vision",
      "agentic",
      "tool-use"
    ]
  },
  "createdAt": "2026-09-13T15:38:49.000Z",
  "downloads": 2165,
  "gated": false,
  "id": "OliviaRossi/DoubleTrouble-GGUF",
  "lastModified": "2026-09-15T06:57:10.000Z",
  "likes": 4,
  "modelId": "OliviaRossi/DoubleTrouble-GGUF",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "2e4de52a58ea4051d41a06583e9e1a576ffe04bb",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "DoubleTrouble-BF16-00001-of-00002.gguf"
    },
    {
      "rfilename": "DoubleTrouble-BF16-00002-of-00002.gguf"
    },
    {
      "rfilename": "DoubleTrouble-GSQ-RCO-IQ3_XXS.gguf"
    },
    {
      "rfilename": "DoubleTrouble-IQ3_XXS.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    }
  ],
  "tags": [
    "gguf",
    "qwen",
    "qwen3.8",
    "imatrix",
    "uncensored",
    "abliterated",
    "merge",
    "text-generation",
    "multimodal",
    "vision",
    "agentic",
    "tool-use",
    "conversational",
    "en",
    "zh",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:merge:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:Jackrong/Qwopus3.8-27B-Flash",
    "base_model:merge:Jackrong/Qwopus3.8-27B-Flash",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}
—
Licence
licence
Hugging Face modelsapache-2.0
receipt
Source
Hugging Face models
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Likes
likes
not compared
GGUF quantisations0
receipt
Source
GGUF quantisations
Its words
0
Read by
field:likes
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa35e8456a930207af9f123",
  "author": "Solstice-AI",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "solstice-ai",
      "davidau",
      "qwen",
      "qwen3.8",
      "qwen3.8-27b",
      "cold-fusion",
      "gain",
      "project-heretic",
      "heretic",
      "uncensored",
      "mxfp4",
      "ocp",
      "microscaling",
      "vllm",
      "sglang",
      "compressed-tensors",
      "4-bit",
      "vision",
      "multimodal",
      "mmproj"
    ]
  },
  "createdAt": "2026-09-11T01:51:00.000Z",
  "downloads": 613,
  "gated": false,
  "id": "Solstice-AI/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-MXFP4",
  "lastModified": "2026-09-11T09:42:05.000Z",
  "likes": 0,
  "modelId": "Solstice-AI/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-MXFP4",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "ae6f603abfd3fc7f60d7569af15fd1f87ac9b0f7",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "mmproj-BF16.gguf"
    },
    {
      "rfilename": "model-mtp-restored.safetensors"
    },
    {
      "rfilename": "preprocessor_config.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "video_preprocessor_config.json"
    },
    {
      "rfilename": "vocab.json"
    }
  ],
  "tags": [
    "gguf",
    "qwen3_5",
    "solstice-ai",
    "davidau",
    "qwen",
    "qwen3.8",
    "qwen3.8-27b",
    "cold-fusion",
    "gain",
    "project-heretic",
    "heretic",
    "uncensored",
    "mxfp4",
    "ocp",
    "microscaling",
    "vllm",
    "sglang",
    "compressed-tensors",
    "4-bit",
    "vision",
    "multimodal",
    "mmproj",
    "image-text-to-text",
    "conversational",
    "en",
    "zh",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "region:us"
  ]
}
—
Likes
likes
not compared
1
receipt
Source
GGUF quantisations
Its words
1
Read by
field:likes
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa450d1b38c8f9ecfa4831d",
  "author": "esatapedico",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "description": "Two compact no-MTP GGUFs of DavidAU Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored (TWIN-TURBO Fable Cold Fusion Heretic Uncensored, 709-L): BUDGET (Q3_K lm_head) and STARVED (Q2_K everything). Byte-identical 448-tensor native NVFP4 backbone, no MTP head, single-16GB friendly. 262,144 native context. Blackwell sm_120.",
    "language": [
      "en",
      "multilingual"
    ],
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "gguf",
      "nvfp4",
      "qwen3.8",
      "qwen3.5",
      "blackwell",
      "vision",
      "multimodal",
      "llama.cpp",
      "turbo",
      "twin-turbo",
      "fable",
      "cold-fusion"
    ]
  },
  "createdAt": "2026-09-11T19:04:49.000Z",
  "downloads": 1917,
  "gated": false,
  "id": "esatapedico/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-BUDGET-GGUF",
  "lastModified": "2026-09-15T20:14:19.000Z",
  "library_name": "gguf",
  "likes": 1,
  "modelId": "esatapedico/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-BUDGET-GGUF",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "113992fc9c6a67dde3fb8e05b3fb0e8b02162758",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-BUDGET.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-STARVED.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "gguf",
    "nvfp4",
    "qwen3.8",
    "qwen3.5",
    "blackwell",
    "vision",
    "multimodal",
    "llama.cpp",
    "turbo",
    "twin-turbo",
    "fable",
    "cold-fusion",
    "text-generation",
    "en",
    "multilingual",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Likes
likes
not compared
12
receipt
Source
GGUF quantisations
Its words
12
Read by
field:likes
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa3d58fe4697e4666f59812",
  "author": "esatapedico",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "description": "Six GGUFs of DavidAU's Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored (TWIN-TURBO Fable Cold Fusion Heretic Uncensored, 709 arc-c class): NVFP4 family with a per-tier quality ladder for lm_head / token_embd / MTP head. All six tiers share a byte-identical 448-tensor native-NVFP4 backbone. MTP speculative decoding baked into every file. Pairs with the original Qwen3.8 vision projector. Blackwell sm_120.",
    "language": [
      "en",
      "multilingual"
    ],
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "gguf",
      "nvfp4",
      "qwen3.8",
      "qwen3.5",
      "blackwell",
      "mtp",
      "speculative-decoding",
      "turbo",
      "twin-turbo",
      "fable",
      "cold-fusion",
      "llama.cpp"
    ]
  },
  "createdAt": "2026-09-11T10:18:55.000Z",
  "downloads": 15792,
  "gated": false,
  "id": "esatapedico/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-GGUF",
  "lastModified": "2026-09-15T20:14:14.000Z",
  "library_name": "gguf",
  "likes": 12,
  "modelId": "esatapedico/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-GGUF",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "d4c5b8eace46a46e43afb560aac4348662dc89d2",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-HIGH.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-LOW.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-MEDIUM.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-MID-HIGH.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-VERY-HIGH.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-VERY-LOW.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "gguf",
    "nvfp4",
    "qwen3.8",
    "qwen3.5",
    "blackwell",
    "mtp",
    "speculative-decoding",
    "turbo",
    "twin-turbo",
    "fable",
    "cold-fusion",
    "llama.cpp",
    "text-generation",
    "en",
    "multilingual",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Likes
likes
not compared
2
receipt
Source
GGUF quantisations
Its words
2
Read by
field:likes
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa361c6affc90ead2f666fe",
  "author": "Solstice-AI",
  "cardData": {
    "base_model": [
      "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored"
    ],
    "datasets": [
      "DavidAU/Polar-STRICT-Datasets",
      "DavidAU/F451-STRICT-Datasets",
      "DavidAU/THE-DECKARD-Datasets"
    ],
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "unsloth",
      "fine tune",
      "heretic",
      "uncensored",
      "abliterated",
      "ara",
      "MTP GGUF Quants",
      "Regular GGUF Quants",
      "qwen3_8",
      "qwen3_6",
      "qwen3_5",
      "multi-stage tuned",
      "thinking",
      "reasoning",
      "all use cases",
      "coder",
      "creative",
      "creative writing",
      "all genres",
      "story",
      "writing",
      "fiction",
      "roleplaying",
      "bfloat16",
      "all use cases",
      "multi-stage-tune",
      "multi-state-merge"
    ]
  },
  "createdAt": "2026-09-11T02:04:54.000Z",
  "downloads": 5187,
  "gated": false,
  "id": "Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-NM-DAU-UltraOptimised-VariableThinking-GGUF",
  "lastModified": "2026-09-12T15:00:01.000Z",
  "likes": 2,
  "modelId": "Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-NM-DAU-UltraOptimised-VariableThinking-GGUF",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "aaa82e5af87398b97cfa4c44dc3cfc4df6e3a95d",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ4_NL.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q8_0.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "launch-arm.gif"
    },
    {
      "rfilename": "mmproj-BF16.gguf"
    },
    {
      "rfilename": "mmproj-F16.gguf"
    },
    {
      "rfilename": "mmproj-F32.gguf"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "tags": [
    "gguf",
    "unsloth",
    "fine tune",
    "heretic",
    "uncensored",
    "abliterated",
    "ara",
    "MTP GGUF Quants",
    "Regular GGUF Quants",
    "qwen3_8",
    "qwen3_6",
    "qwen3_5",
    "multi-stage tuned",
    "thinking",
    "reasoning",
    "all use cases",
    "coder",
    "creative",
    "creative writing",
    "all genres",
    "story",
    "writing",
    "fiction",
    "roleplaying",
    "bfloat16",
    "multi-stage-tune",
    "multi-state-merge",
    "image-text-to-text",
    "conversational",
    "en",
    "zh",
    "dataset:DavidAU/Polar-STRICT-Datasets",
    "dataset:DavidAU/F451-STRICT-Datasets",
    "dataset:DavidAU/THE-DECKARD-Datasets",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ]
}
—
Likes
likes
not compared
201
receipt
Source
GGUF quantisations
Its words
201
Read by
field:likes
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa2555d942797ca6672756f",
  "author": "DavidAU",
  "cardData": {
    "base_model": [
      "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored"
    ],
    "datasets": [
      "DavidAU/Polar-STRICT-Datasets",
      "DavidAU/F451-STRICT-Datasets",
      "DavidAU/THE-DECKARD-Datasets"
    ],
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "unsloth",
      "fine tune",
      "heretic",
      "uncensored",
      "abliterated",
      "ara",
      "MTP GGUF Quants",
      "Regular GGUF Quants",
      "qwen3_8",
      "qwen3_6",
      "qwen3_5",
      "multi-stage tuned",
      "thinking",
      "reasoning",
      "all use cases",
      "coder",
      "creative",
      "creative writing",
      "all genres",
      "story",
      "writing",
      "fiction",
      "roleplaying",
      "bfloat16",
      "all use cases",
      "multi-stage-tune",
      "multi-state-merge"
    ]
  },
  "createdAt": "2026-09-10T06:59:41.000Z",
  "downloads": 203773,
  "gated": false,
  "id": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF",
  "lastModified": "2026-09-17T07:52:26.000Z",
  "likes": 201,
  "modelId": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "3e10f00b6620562e28d5132e077d8cc61a568881",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ2_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MAX-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-TOOLS-NM-DAU-NEO-MTP-Q8_0.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template-tturbo-v2.jinja"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "launch-arm.gif"
    },
    {
      "rfilename": "mmproj-BF16.gguf"
    },
    {
      "rfilename": "mmproj-F16.gguf"
    },
    {
      "rfilename": "mmproj-F32.gguf"
    }
  ],
  "tags": [
    "gguf",
    "unsloth",
    "fine tune",
    "heretic",
    "uncensored",
    "abliterated",
    "ara",
    "MTP GGUF Quants",
    "Regular GGUF Quants",
    "qwen3_8",
    "qwen3_6",
    "qwen3_5",
    "multi-stage tuned",
    "thinking",
    "reasoning",
    "all use cases",
    "coder",
    "creative",
    "creative writing",
    "all genres",
    "story",
    "writing",
    "fiction",
    "roleplaying",
    "bfloat16",
    "multi-stage-tune",
    "multi-state-merge",
    "image-text-to-text",
    "conversational",
    "en",
    "zh",
    "dataset:DavidAU/Polar-STRICT-Datasets",
    "dataset:DavidAU/F451-STRICT-Datasets",
    "dataset:DavidAU/THE-DECKARD-Datasets",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ]
}
—
Likes
likes
not compared
3
receipt
Source
GGUF quantisations
Its words
3
Read by
field:likes
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa4f13b536927640b610cd7",
  "author": "mradermacher",
  "cardData": {
    "base_model": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "datasets": [
      "DavidAU/Polar-STRICT-Datasets",
      "DavidAU/F451-STRICT-Datasets",
      "DavidAU/THE-DECKARD-Datasets"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "heretic",
      "qwen3_8",
      "qwen3_6",
      "uncensored",
      "finetune",
      "Cold Fusion",
      "GAIN Training",
      "Multi-stage tuning",
      "all use cases",
      "unsloth"
    ]
  },
  "createdAt": "2026-09-12T06:29:15.000Z",
  "downloads": 6902,
  "gated": false,
  "id": "mradermacher/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-i1-GGUF",
  "lastModified": "2026-09-12T11:00:45.000Z",
  "library_name": "transformers",
  "likes": 3,
  "modelId": "mradermacher/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-i1-GGUF",
  "private": false,
  "sha": "231bd881924c451ad02165662d79deda52a12227",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-IQ3_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-IQ3_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-IQ4_XS.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q2_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q3_K_L.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q3_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q3_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_0.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_1.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q4_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q5_K_M.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q5_K_S.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.i1-Q6_K.gguf"
    },
    {
      "rfilename": "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored.imatrix.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "heretic",
    "qwen3_8",
    "qwen3_6",
    "uncensored",
    "finetune",
    "Cold Fusion",
    "GAIN Training",
    "Multi-stage tuning",
    "all use cases",
    "unsloth",
    "en",
    "dataset:DavidAU/Polar-STRICT-Datasets",
    "dataset:DavidAU/F451-STRICT-Datasets",
    "dataset:DavidAU/THE-DECKARD-Datasets",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:quantized:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ]
}
—
Likes
likes
not compared
4
receipt
Source
GGUF quantisations
Its words
4
Read by
field:likes
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-05 18:25 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa6c3895742475f97ada773",
  "author": "OliviaRossi",
  "cardData": {
    "base_model": [
      "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
      "Jackrong/Qwopus3.8-27B-Flash"
    ],
    "language": [
      "en",
      "zh"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "qwen",
      "qwen3.8",
      "gguf",
      "imatrix",
      "uncensored",
      "abliterated",
      "merge",
      "text-generation",
      "multimodal",
      "vision",
      "agentic",
      "tool-use"
    ]
  },
  "createdAt": "2026-09-13T15:38:49.000Z",
  "downloads": 2165,
  "gated": false,
  "id": "OliviaRossi/DoubleTrouble-GGUF",
  "lastModified": "2026-09-15T06:57:10.000Z",
  "likes": 4,
  "modelId": "OliviaRossi/DoubleTrouble-GGUF",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "2e4de52a58ea4051d41a06583e9e1a576ffe04bb",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "DoubleTrouble-BF16-00001-of-00002.gguf"
    },
    {
      "rfilename": "DoubleTrouble-BF16-00002-of-00002.gguf"
    },
    {
      "rfilename": "DoubleTrouble-GSQ-RCO-IQ3_XXS.gguf"
    },
    {
      "rfilename": "DoubleTrouble-IQ3_XXS.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    }
  ],
  "tags": [
    "gguf",
    "qwen",
    "qwen3.8",
    "imatrix",
    "uncensored",
    "abliterated",
    "merge",
    "text-generation",
    "multimodal",
    "vision",
    "agentic",
    "tool-use",
    "conversational",
    "en",
    "zh",
    "base_model:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:merge:DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
    "base_model:Jackrong/Qwopus3.8-27B-Flash",
    "base_model:merge:Jackrong/Qwopus3.8-27B-Flash",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}
—
Likes
likes
not compared
Hugging Face models68
receipt
Source
Hugging Face models
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Likes
likes
not compared
69
receipt
Source
Hugging Face models
Its words
69
Read by
field:likes
Said since
2026-10-02 12:02 UTC
Original
open at the source
What the source handed over
{
  "_asked": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
  "_id": "6a94f99e86947dfa9d849a5f",
  "author": "DavidAU",
  "cardData": {
    "base_model": [
      "DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU"
    ],
    "datasets": [
      "DavidAU/Polar-STRICT-Datasets",
      "DavidAU/F451-STRICT-Datasets",
      "DavidAU/THE-DECKARD-Datasets"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "heretic",
      "qwen3_8",
      "qwen3_6",
      "uncensored",
      "finetune",
      "Cold Fusion",
      "GAIN Training",
      "Multi-stage tuning",
      "all use cases",
      "unsloth"
    ]
  },
  "config": {
    "architectures": [
      "Qwen3_5ForConditionalGeneration"
    ],
    "chat_template_jinja": "{# Define the hardcoded thinking instructions - DAU=einstein, DAU2=spoon #}\n{%- set system_instruction_DAU -%}\n[SYSTEM]\n[Temperature: 1.25]\n[TopP: .2]\n[PERSONA]Brainstormer takes in a notion, applies a bunch of perspective agents set to improve it by seeking novelty, and spits out a bunch of improved creative ideas.\n\nSKILLS:\n[Advert]-[DigMrk]-[SEO]-[SEM]-[PITCHES]-[CREATIVITY]-[BURSTINESS]-[PERPLEXITY]-[AVOIDHGHCORRELATE]-[HUMPRTXT]-[CONTENTGEN]\n\n[Task]\ngE: Silent input → Spawn 20 agents Sternberg Styles → Enhance idea → Seek Novel Emergence NE:unique/significant idea/concept → Ponder, assess, creative enhance notions → Refined idea => IdeaArray[].size=20 elements,  else → Interesting? Pass to rand. agent for refinement, else discard.=>output(IdeaArray)[/Task]\n\n[Task]Request input[/Task]\n\ngE(input) > response\n\nThink deeply and carefully about the user's request using \"gE(input)\" and ponder all the possiblities, evaluate them one by one. Draft your first response, then evaluate it and adjust if required.\nCompose your thoughts (which should be at least 5000 tokens) about the user's prompt between <think> and </think> tags, then output the final answer based on your thoughts.\n{%- endset -%}\n{# Define the hardcoded thinking instructions -DAU2=spoon #}\n{%- set system_instruction_DAU2 -%}\nReasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.\n\nIMPORTANT INSTRUCTIONS:\nYou are Qwen Deep Research, a careful local 27B Qwen reasoning assistant optimized for high-quality, structured research answers.\nYour goal is to produce accurate, well-reasoned, practical results by internally simulating a focused multi-expert research process. Do not claim to be a real human panel. Use “virtual experts” as reasoning perspectives.\n\nFor every user request, internally follow this Deep Research Protocol:\n\n1. Frame the task\n   - Identify the user's core request, intended field, constraints, desired output format, and success criteria.\n   - Note ambiguities, missing context, risks, and possible misunderstandings.\n   - If one brief clarifying question would materially improve the result, ask it. Otherwise proceed with clearly stated assumptions.\n   - Rate the user's core request of complexity on a scale of 1 to 5, with 5 being highest AND EXPAND the reasoning and detail levels according to this scale.\n\n2. Create a field-specific expert panel\n   - Build 3 to 5 virtual experts relevant to the user's domain.\n   - Adapt the roles to the task. Examples:\n     - Domain expert\n     - Research methodologist\n     - Engineer / developer\n     - Risk / compliance / ethics analyst\n     - Critic / red-team reviewer\n     - Communicator / final-answer synthesizer\n   - Each expert should focus on a different strength, not repeat the same point.\n\n3. Panel discussion of the user's prompt\n   - Have the panel discuss what the user is really asking.\n   - Identify likely failure modes, edge cases, hidden assumptions, and required evidence.\n   - If experts disagree, resolve the disagreement by favoring correctness, usefulness, safety, clarity, and practicality.\n\n4. Generate candidate solutions\n   - Produce 2 to 3 distinct candidate answers, plans, approaches, or solutions.\n   - For each candidate, include:\n     - Main idea\n     - Assumptions\n     - Key steps or components\n     - Strengths\n     - Weaknesses or risks\n\n5. Evaluate the candidates\n   - Score each candidate 1 to 5 on:\n     - Correctness\n     - Completeness\n     - Practical usefulness\n     - Safety / compliance\n     - Clarity\n     - Efficiency\n   - Identify the best candidate and explain why it is superior.\n\n6. Double-check the selected solution\n   - Re-verify important facts, logic, calculations, code, dates, units, dependencies, and edge cases.\n   - Check for hallucinated sources, invented numbers, unsupported claims, contradictions, and missing constraints.\n   - For code, mentally execute or trace the logic and note likely failure points.\n   - For medical, legal, financial, safety-critical, or high-stakes topics, add appropriate cautions and recommend qualified professional review.\n\n7. Output the result\n   - Provide the final result in the format the user requested.\n   - If the user did not specify a format, use this structure:\n\n     Final Answer\n     Brief explanation\n     Key assumptions\n     Recommended next steps\n     Confidence level / verification needed\n\nOperating rules:\n- Minimum size of the thinking/reasoning/eval block is 5000 words.\n- Be concrete, specific, and useful.\n- Do not claim live internet access unless the host system actually provides it.\n- Do not invent citations, sources, statistics, benchmarks, or facts.\n- If uncertain, state the uncertainty clearly and explain what evidence would confirm or disprove the claim.\n- Keep the internal expert panel compact and purposeful. Do not loop indefinitely.\n- SHOW hidden chain-of-thought processes.\n- For code, provide minimal working examples when possible and mention required environment or dependencies.\n- For ambiguous prompts, state the interpretation you chose before answering.\n- Optimize for reliability: prefer clear structure, bounded reasoning, and concise final output.\n{%- endset -%}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n    {%- if content is string %}\n        {{- content }}\n    {%- elif content is iterable and content is not mapping %}\n        {%- for item in content %}\n            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain images.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set image_count.value = image_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Picture ' ~ image_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n            {%- elif 'video' in item or item.type == 'video' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain videos.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set video_count.value = video_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Video ' ~ video_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n            {%- elif 'text' in item %}\n                {{- item.text }}\n            {%- else %}\n                {{- raise_exception('Unexpected item type in content.') }}\n            {%- endif %}\n        {%- endfor %}\n    {%- elif content is none or content is undefined %}\n        {{- '' }}\n    {%- else %}\n        {{- raise_exception('Unexpected content type.') }}\n    {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n    {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{% set store = namespace(messages=[], reasoning_effort=\"\", enable_thinking=true) %}\n{% for msg in messages %}\n  {% set raw_reason = \"\" %}\n  {% set txt = render_content(msg.content, false) | trim %}\n  {% if (msg.role == 'user' and \"{REASON:\" in txt) %}\n  {% set after_tag = txt.split(\"{REASON:\") %}\n  {% set candidate = after_tag[1].split(\"}\")[0] %}\n  {% set candidate_key = candidate[1:] if candidate.startswith('i') else candidate %}\n  {% if candidate and candidate_key in ('xhigh', 'medium', 'low', 'einstein', 'spoon') %}\n    {% set raw_reason = candidate %}\n    {% set tag = \"{REASON:\" ~ raw_reason ~ \"}\" %}\n    {% set clean_txt = txt.replace(tag, \"\") | trim %}\n    {% set store.messages = store.messages + [{\"role\": msg.role, \"content\": clean_txt}] %}\n  {% endif %}\n  {% else %}\n    {% set store.messages = store.messages + [msg] %}\n  {% endif %}\n  {% if raw_reason %}\n    {% if raw_reason.startswith('i') %}\n      {% set store.reasoning_effort = raw_reason[1:] %}\n      {% set store.enable_thinking = false %}\n    {% else %}\n      {% set store.reasoning_effort = raw_reason %}\n      {% set store.enable_thinking = true %}\n    {% endif %}\n  {% endif %}\n{% endfor %}\n{% set messages = store.messages %}\n{% if store.reasoning_effort %}\n  {% set reasoning_effort = store.reasoning_effort %}\n  {% set enable_thinking = store.enable_thinking %}\n{% endif %}\n{%- set reasoning_instructions = '' %}\n{%- if enable_thinking is undefined or enable_thinking is true %}\n    {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}\n    {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low','einstein','spoon') %}\n        {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low PLUS einstein and spoon.') }}\n    {%- endif %}\n    {%- if resolved_reasoning_effort == 'einstein' %}\n        {%- set reasoning_instructions = system_instruction_DAU %}\n    {%- elif resolved_reasoning_effort == 'spoon' %}\n        {%- set reasoning_instructions = system_instruction_DAU2 %}\n    {%- elif resolved_reasoning_effort == 'xhigh' %}\n        {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}\n    {%- elif resolved_reasoning_effort == 'low' %}\n        {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}\n    {%- endif %}\n{%- endif %}\n{%- if enable_thinking is false %}\n    {%- set resolved_reasoning_effort = reasoning_effort|default('medium') %}\n    {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low','einstein','spoon') %}\n        {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low PLUS einstein and spoon.') }}\n    {%- endif %}\n    {%- if resolved_reasoning_effort == 'einstein' %}\n        {%- set reasoning_instructions = system_instruction_DAU %}\n    {%- elif resolved_reasoning_effort == 'spoon' %}\n        {%- set reasoning_instructions = system_instruction_DAU2 %}\n    {%- elif resolved_reasoning_effort == 'xhigh' %}\n        {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}\n    {%- elif resolved_reasoning_effort == 'low' %}\n        {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}\n    {%- endif %}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if reasoning_instructions %}\n        {{- reasoning_instructions + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\" }}\n    {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {%- if content %}\n            {{- '\\n\\n' + content }}\n        {%- endif %}\n    {%- endif %}\n    {{- '<|im_end|>\\n' }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {%- if content %}\n            {{- '<|im_start|>system\\n' + (reasoning_instructions + '\\n\\n' if reasoning_instructions else '')  + content + '<|im_end|>\\n' }}\n        {%- elif reasoning_instructions %}\n            {{- '<|im_start|>system\\n' + reasoning_instructions + '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- elif reasoning_instructions %}\n        {{- '<|im_start|>system\\n' + reasoning_instructions + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" %}\n        {%- set content = render_content(message.content, false)|trim %}\n        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n            {%- set ns.multi_step_tool = false %}\n            {%- set ns.last_query_index = index %}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n    {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n    {%- set content = render_content(message.content, true)|trim %}\n    {%- if message.role == \"system\" %}\n        {%- if not loop.first %}\n            {{- raise_exception('System message must be at the beginning.') }}\n        {%- endif %}\n    {%- elif message.role == \"user\" %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is string %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- endif %}\n        {%- set reasoning_content = reasoning_content|trim %}\n        {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %}\n            {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if tool_call.function is defined %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {%- if loop.first %}\n                    {%- if content|trim %}\n                        {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                    {%- else %}\n                        {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                    {%- endif %}\n                {%- else %}\n                    {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                {%- endif %}\n                {%- if tool_call.arguments is defined and tool_call.arguments != '' %}\n                    {%- for args_name, args_value in tool_call.arguments|items %}\n                        {{- '<parameter=' + args_name + '>\\n' }}\n                        {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}\n                        {{- args_value }}\n                        {{- '\\n</parameter>\\n' }}\n                    {%- endfor %}\n                {%- endif %}\n                {{- '</function>\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n            {{- '<|im_end|>\\n' }}\n        {%- elif loop.last %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- else %}\n        {{- raise_exception('Unexpected message role.') }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- else %}\n        {{- '<think>\\n' }}\n    {%- endif %}\n{%- endif %}",
    "model_type": "qwen3_5",
    "tokenizer_config": {
      "bos_token": null,
      "eos_token": "<|im_end|>",
      "pad_token": "<|endoftext|>",
      "unk_token": null
    }
  },
  "createdAt": "2026-08-31T03:48:46.000Z",
  "disabled": false,
  "downloads": 2376,
  "gated": false,
  "id": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
  "lastModified": "2026-09-16T23:42:56.000Z",
  "library_name": "transformers",
  "likes": 69,
  "model-index": null,
  "modelId": "DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 27781427952
    },
    "total": 27781427952
  },
  "sha": "d41b326cb999f4e73b3e805fa215e8307177a11a",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template-tturbo-v2.jinja"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "liftoff-cooking.gif"
    },
    {
      "rfilename": "model-00001-of-00012.safetensors"
    },
    {
      "rfilename": "model-00002-of-00012.safetensors"
    },
    {
      "rfilename": "model-00003-of-00012.safetensors"
    },
    {
      "rfilename": "model-00004-of-00012.safetensors"
    },
    {
      "rfilename": "model-00005-of-00012.safetensors"
    },
    {
      "rfilename": "model-00006-of-00012.safetensors"
    },
    {
      "rfilename": "model-00007-of-00012.safetensors"
    },
    {
      "rfilename": "model-00008-of-00012.safetensors"
    },
    {
      "rfilename": "model-00009-of-00012.safetensors"
    },
    {
      "rfilename": "model-00010-of-00012.safetensors"
    },
    {
      "rfilename": "model-00011-of-00012.safetensors"
    },
    {
      "rfilename": "model-00012-of-00012.safetensors"
    },
    {
      "rfilename": "model-mtp-restored.safetensors"
    },
    {
      "rfilename": "model.safetensors.index.json"
    },
    {
      "rfilename": "preprocessor_config.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "video_preprocessor_config.json"
    },
    {
      "rfilename": "vocab.json"
    }
  ],
  "spaces": [
    "tardellirs/model-pulse"
  ],
  "tags": [
    "transformers",
    "safetensors",
    "qwen3_5",
    "image-text-to-text",
    "heretic",
    "qwen3_8",
    "qwen3_6",
    "uncensored",
    "finetune",
    "Cold Fusion",
    "GAIN Training",
    "Multi-stage tuning",
    "all use cases",
    "unsloth",
    "conversational",
    "en",
    "dataset:DavidAU/Polar-STRICT-Datasets",
    "dataset:DavidAU/F451-STRICT-Datasets",
    "dataset:DavidAU/THE-DECKARD-Datasets",
    "base_model:DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU",
    "base_model:finetune:DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForMultimodalLM",
    "pipeline_tag": "image-text-to-text",
    "processor": "AutoProcessor"
  },
  "usedStorage": 55577228584,
  "widgetData": [
    {
      "text": "Hi, what can you help me with?"
    },
    {
      "text": "What is 84 * 3 / 2?"
    },
    {
      "text": "Tell me an interesting fact about the universe!"
    },
    {
      "text": "Explain quantum computing in simple terms."
    }
  ]
}
—
Task
task
Hugging Face modelsimage-text-to-text
receipt
Source
Hugging Face models
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—

model

DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored
zetlyn/models-hf · 2026-08-31
author DavidAU downloads 1821 gated false licence apache-2.0 likes 68 task image-text-to-text source
DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored
zetlyn/models-hf · 2026-08-31
author DavidAU downloads 2376 gated false licence apache-2.0 likes 69 task image-text-to-text source

quantisation

OliviaRossi/DoubleTrouble-GGUF
zetlyn/models-gguf · 2026-09-13
author OliviaRossi base DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored, Jackrong/Qwopus3.8-27B-Flash downloads 2165 licence apache-2.0 likes 4 source
mradermacher/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-i1-GGUF
zetlyn/models-gguf · 2026-09-12
author mradermacher base DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored downloads 6902 licence apache-2.0 likes 3 source
esatapedico/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-BUDGET-GGUF
zetlyn/models-gguf · 2026-09-11
author esatapedico base DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored downloads 1917 licence apache-2.0 likes 1 source
mradermacher/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-GGUF
zetlyn/models-gguf · 2026-09-11
author mradermacher base DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored downloads 2670 licence apache-2.0 likes 3 source
esatapedico/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-GGUF
zetlyn/models-gguf · 2026-09-11
author esatapedico base DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored downloads 15792 licence apache-2.0 likes 12 source
Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-Uncensored-UltraOptimised-VariableThinking-1M
zetlyn/models-gguf · 2026-09-11
author Solstice-AI base DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored downloads 1970 licence apache-2.0 likes 4 source
Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-NM-DAU-UltraOptimised-VariableThinking-GGUF
zetlyn/models-gguf · 2026-09-11
author Solstice-AI base DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored downloads 5187 licence apache-2.0 likes 2 source
Solstice-AI/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-MXFP4
zetlyn/models-gguf · 2026-09-11
author Solstice-AI base DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored downloads 613 licence apache-2.0 likes 0 source
Solstice-AI/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-1M
zetlyn/models-gguf · 2026-09-11
author Solstice-AI base DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored downloads 969 licence apache-2.0 likes 1 source
DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF
zetlyn/models-gguf · 2026-09-10
author DavidAU base DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored downloads 203773 licence apache-2.0 likes 201 source
johnsun4414/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF
zetlyn/models-gguf · 2026-09-30
author johnsun4414 base DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored downloads 4322 licence apache-2.0 likes 2 source