anshulVashist/Qwen3-8B-Houdini-VEX-v30

zetlyn/models-gguf quantisation gguf anshulVashist/Qwen3-8B-Houdini-VEX-v30 hf unsloth/Qwen3-8B known 2026-10-03

https://huggingface.co/anshulVashist/Qwen3-8B-Houdini-VEX-v30

Properties

authoranshulVashist
receipt
Source
GGUF quantisations
Its words
anshulVashist
Read by
field:author
Said since
2026-10-03 06:07 UTC
Last answered
2026-10-05 12:24 UTC
Original
open at the source
What the source handed over
{
  "_id": "6ac07acda938f1359f5a902b",
  "author": "anshulVashist",
  "cardData": {
    "base_model": "unsloth/Qwen3-8B",
    "language": [
      "en"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "houdini",
      "vex",
      "sidefx",
      "procedural",
      "unsloth",
      "qwen3",
      "gguf",
      "text-generation-inference",
      "text-generation",
      "graphics",
      "vfx"
    ],
    "widget": [
      {
        "text": "Context: Point wrangle\nTask: Displace geometry along surface normal using 3D curl noise with an altitude mask"
      },
      {
        "text": "Context: Detail wrangle\nTask: Generate a Fibonacci spiral distribution of 200 points on a unit sphere using the golden ratio angle"
      },
      {
        "text": "Context: Primitive wrangle\nTask: Compute face area, orient primitive normals towards target, and pack each primitive"
      },
      {
        "text": "Context: Point wrangle\nTask: Grow a branching root network across input 1 with surface adherence, collision repulsion, and glowing pulses"
      }
    ]
  },
  "createdAt": "2026-10-03T03:47:25.000Z",
  "downloads": 55,
  "gated": false,
  "id": "anshulVashist/Qwen3-8B-Houdini-VEX-v30",
  "lastModified": "2026-10-03T04:55:28.000Z",
  "likes": 0,
  "modelId": "anshulVashist/Qwen3-8B-Houdini-VEX-v30",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "0babd77a5e36ed1ce72cc6cfe27a99cc68f38221",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Modelfile"
    },
    {
      "rfilename": "Qwen3-8B-Houdini-VEX-v30-Q5_K_M.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "lora_adapter/adapter_config.json"
    },
    {
      "rfilename": "lora_adapter/adapter_model.safetensors"
    },
    {
      "rfilename": "lora_adapter/chat_template.jinja"
    },
    {
      "rfilename": "lora_adapter/tokenizer.json"
    },
    {
      "rfilename": "lora_adapter/tokenizer_config.json"
    },
    {
      "rfilename": "qwen3-vex-master-v30-lora.gguf"
    }
  ],
  "tags": [
    "safetensors",
    "gguf",
    "houdini",
    "vex",
    "sidefx",
    "procedural",
    "unsloth",
    "qwen3",
    "text-generation-inference",
    "text-generation",
    "graphics",
    "vfx",
    "en",
    "base_model:unsloth/Qwen3-8B",
    "base_model:quantized:unsloth/Qwen3-8B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ]
}
baseunsloth/Qwen3-8B
receipt
Source
GGUF quantisations
Its words
unsloth/Qwen3-8B
Read by
field:cardData.base_model[]
Said since
2026-10-03 06:07 UTC
Last answered
2026-10-05 12:24 UTC
Original
open at the source
What the source handed over
{
  "_id": "6ac07acda938f1359f5a902b",
  "author": "anshulVashist",
  "cardData": {
    "base_model": "unsloth/Qwen3-8B",
    "language": [
      "en"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "houdini",
      "vex",
      "sidefx",
      "procedural",
      "unsloth",
      "qwen3",
      "gguf",
      "text-generation-inference",
      "text-generation",
      "graphics",
      "vfx"
    ],
    "widget": [
      {
        "text": "Context: Point wrangle\nTask: Displace geometry along surface normal using 3D curl noise with an altitude mask"
      },
      {
        "text": "Context: Detail wrangle\nTask: Generate a Fibonacci spiral distribution of 200 points on a unit sphere using the golden ratio angle"
      },
      {
        "text": "Context: Primitive wrangle\nTask: Compute face area, orient primitive normals towards target, and pack each primitive"
      },
      {
        "text": "Context: Point wrangle\nTask: Grow a branching root network across input 1 with surface adherence, collision repulsion, and glowing pulses"
      }
    ]
  },
  "createdAt": "2026-10-03T03:47:25.000Z",
  "downloads": 55,
  "gated": false,
  "id": "anshulVashist/Qwen3-8B-Houdini-VEX-v30",
  "lastModified": "2026-10-03T04:55:28.000Z",
  "likes": 0,
  "modelId": "anshulVashist/Qwen3-8B-Houdini-VEX-v30",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "0babd77a5e36ed1ce72cc6cfe27a99cc68f38221",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Modelfile"
    },
    {
      "rfilename": "Qwen3-8B-Houdini-VEX-v30-Q5_K_M.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "lora_adapter/adapter_config.json"
    },
    {
      "rfilename": "lora_adapter/adapter_model.safetensors"
    },
    {
      "rfilename": "lora_adapter/chat_template.jinja"
    },
    {
      "rfilename": "lora_adapter/tokenizer.json"
    },
    {
      "rfilename": "lora_adapter/tokenizer_config.json"
    },
    {
      "rfilename": "qwen3-vex-master-v30-lora.gguf"
    }
  ],
  "tags": [
    "safetensors",
    "gguf",
    "houdini",
    "vex",
    "sidefx",
    "procedural",
    "unsloth",
    "qwen3",
    "text-generation-inference",
    "text-generation",
    "graphics",
    "vfx",
    "en",
    "base_model:unsloth/Qwen3-8B",
    "base_model:quantized:unsloth/Qwen3-8B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ]
}
downloads55
receipt
Source
GGUF quantisations
Its words
55
Read by
field:downloads
Said since
2026-10-05 12:24 UTC
Last answered
2026-10-05 12:24 UTC
Original
open at the source
2026-10-05 12:24 UTC55
2026-10-04 12:16 UTC27
2026-10-03 12:09 UTC3
2026-10-03 06:07 UTC0
What the source handed over
{
  "_id": "6ac07acda938f1359f5a902b",
  "author": "anshulVashist",
  "cardData": {
    "base_model": "unsloth/Qwen3-8B",
    "language": [
      "en"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "houdini",
      "vex",
      "sidefx",
      "procedural",
      "unsloth",
      "qwen3",
      "gguf",
      "text-generation-inference",
      "text-generation",
      "graphics",
      "vfx"
    ],
    "widget": [
      {
        "text": "Context: Point wrangle\nTask: Displace geometry along surface normal using 3D curl noise with an altitude mask"
      },
      {
        "text": "Context: Detail wrangle\nTask: Generate a Fibonacci spiral distribution of 200 points on a unit sphere using the golden ratio angle"
      },
      {
        "text": "Context: Primitive wrangle\nTask: Compute face area, orient primitive normals towards target, and pack each primitive"
      },
      {
        "text": "Context: Point wrangle\nTask: Grow a branching root network across input 1 with surface adherence, collision repulsion, and glowing pulses"
      }
    ]
  },
  "createdAt": "2026-10-03T03:47:25.000Z",
  "downloads": 55,
  "gated": false,
  "id": "anshulVashist/Qwen3-8B-Houdini-VEX-v30",
  "lastModified": "2026-10-03T04:55:28.000Z",
  "likes": 0,
  "modelId": "anshulVashist/Qwen3-8B-Houdini-VEX-v30",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "0babd77a5e36ed1ce72cc6cfe27a99cc68f38221",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Modelfile"
    },
    {
      "rfilename": "Qwen3-8B-Houdini-VEX-v30-Q5_K_M.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "lora_adapter/adapter_config.json"
    },
    {
      "rfilename": "lora_adapter/adapter_model.safetensors"
    },
    {
      "rfilename": "lora_adapter/chat_template.jinja"
    },
    {
      "rfilename": "lora_adapter/tokenizer.json"
    },
    {
      "rfilename": "lora_adapter/tokenizer_config.json"
    },
    {
      "rfilename": "qwen3-vex-master-v30-lora.gguf"
    }
  ],
  "tags": [
    "safetensors",
    "gguf",
    "houdini",
    "vex",
    "sidefx",
    "procedural",
    "unsloth",
    "qwen3",
    "text-generation-inference",
    "text-generation",
    "graphics",
    "vfx",
    "en",
    "base_model:unsloth/Qwen3-8B",
    "base_model:quantized:unsloth/Qwen3-8B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ]
}
licenceapache-2.0
receipt
Source
GGUF quantisations
Its words
apache-2.0
Read by
field:cardData.license
Said since
2026-10-03 06:07 UTC
Last answered
2026-10-05 12:24 UTC
Original
open at the source
What the source handed over
{
  "_id": "6ac07acda938f1359f5a902b",
  "author": "anshulVashist",
  "cardData": {
    "base_model": "unsloth/Qwen3-8B",
    "language": [
      "en"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "houdini",
      "vex",
      "sidefx",
      "procedural",
      "unsloth",
      "qwen3",
      "gguf",
      "text-generation-inference",
      "text-generation",
      "graphics",
      "vfx"
    ],
    "widget": [
      {
        "text": "Context: Point wrangle\nTask: Displace geometry along surface normal using 3D curl noise with an altitude mask"
      },
      {
        "text": "Context: Detail wrangle\nTask: Generate a Fibonacci spiral distribution of 200 points on a unit sphere using the golden ratio angle"
      },
      {
        "text": "Context: Primitive wrangle\nTask: Compute face area, orient primitive normals towards target, and pack each primitive"
      },
      {
        "text": "Context: Point wrangle\nTask: Grow a branching root network across input 1 with surface adherence, collision repulsion, and glowing pulses"
      }
    ]
  },
  "createdAt": "2026-10-03T03:47:25.000Z",
  "downloads": 55,
  "gated": false,
  "id": "anshulVashist/Qwen3-8B-Houdini-VEX-v30",
  "lastModified": "2026-10-03T04:55:28.000Z",
  "likes": 0,
  "modelId": "anshulVashist/Qwen3-8B-Houdini-VEX-v30",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "0babd77a5e36ed1ce72cc6cfe27a99cc68f38221",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Modelfile"
    },
    {
      "rfilename": "Qwen3-8B-Houdini-VEX-v30-Q5_K_M.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "lora_adapter/adapter_config.json"
    },
    {
      "rfilename": "lora_adapter/adapter_model.safetensors"
    },
    {
      "rfilename": "lora_adapter/chat_template.jinja"
    },
    {
      "rfilename": "lora_adapter/tokenizer.json"
    },
    {
      "rfilename": "lora_adapter/tokenizer_config.json"
    },
    {
      "rfilename": "qwen3-vex-master-v30-lora.gguf"
    }
  ],
  "tags": [
    "safetensors",
    "gguf",
    "houdini",
    "vex",
    "sidefx",
    "procedural",
    "unsloth",
    "qwen3",
    "text-generation-inference",
    "text-generation",
    "graphics",
    "vfx",
    "en",
    "base_model:unsloth/Qwen3-8B",
    "base_model:quantized:unsloth/Qwen3-8B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ]
}
likes0
receipt
Source
GGUF quantisations
Its words
0
Read by
field:likes
Said since
2026-10-03 06:07 UTC
Last answered
2026-10-05 12:24 UTC
Original
open at the source
What the source handed over
{
  "_id": "6ac07acda938f1359f5a902b",
  "author": "anshulVashist",
  "cardData": {
    "base_model": "unsloth/Qwen3-8B",
    "language": [
      "en"
    ],
    "license": "apache-2.0",
    "pipeline_tag": "text-generation",
    "tags": [
      "houdini",
      "vex",
      "sidefx",
      "procedural",
      "unsloth",
      "qwen3",
      "gguf",
      "text-generation-inference",
      "text-generation",
      "graphics",
      "vfx"
    ],
    "widget": [
      {
        "text": "Context: Point wrangle\nTask: Displace geometry along surface normal using 3D curl noise with an altitude mask"
      },
      {
        "text": "Context: Detail wrangle\nTask: Generate a Fibonacci spiral distribution of 200 points on a unit sphere using the golden ratio angle"
      },
      {
        "text": "Context: Primitive wrangle\nTask: Compute face area, orient primitive normals towards target, and pack each primitive"
      },
      {
        "text": "Context: Point wrangle\nTask: Grow a branching root network across input 1 with surface adherence, collision repulsion, and glowing pulses"
      }
    ]
  },
  "createdAt": "2026-10-03T03:47:25.000Z",
  "downloads": 55,
  "gated": false,
  "id": "anshulVashist/Qwen3-8B-Houdini-VEX-v30",
  "lastModified": "2026-10-03T04:55:28.000Z",
  "likes": 0,
  "modelId": "anshulVashist/Qwen3-8B-Houdini-VEX-v30",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "0babd77a5e36ed1ce72cc6cfe27a99cc68f38221",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Modelfile"
    },
    {
      "rfilename": "Qwen3-8B-Houdini-VEX-v30-Q5_K_M.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "lora_adapter/adapter_config.json"
    },
    {
      "rfilename": "lora_adapter/adapter_model.safetensors"
    },
    {
      "rfilename": "lora_adapter/chat_template.jinja"
    },
    {
      "rfilename": "lora_adapter/tokenizer.json"
    },
    {
      "rfilename": "lora_adapter/tokenizer_config.json"
    },
    {
      "rfilename": "qwen3-vex-master-v30-lora.gguf"
    }
  ],
  "tags": [
    "safetensors",
    "gguf",
    "houdini",
    "vex",
    "sidefx",
    "procedural",
    "unsloth",
    "qwen3",
    "text-generation-inference",
    "text-generation",
    "graphics",
    "vfx",
    "en",
    "base_model:unsloth/Qwen3-8B",
    "base_model:quantized:unsloth/Qwen3-8B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ]
}

Text

This source's terms allow its title, its values and a link here, not its text. It is at https://huggingface.co/anshulVashist/Qwen3-8B-Houdini-VEX-v30.