donghongjiang/SkillReason-embedding-0.6b

hf donghongjiang/SkillReason-embedding-0.6b 2 sources, 3 claims · Watch

What each source says

PropertySourceSaidMeans here
Author
author
not compared
GGUF quantisationsmradermacher
receipt
Source
GGUF quantisations
Its words
mradermacher
Read by
field:author
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 18:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a95610948eddfa302dc1a04",
  "author": "mradermacher",
  "cardData": {
    "base_model": "donghongjiang/SkillReason-embedding-0.6b",
    "datasets": [
      "donghongjiang/skillreason-bench"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "sentence-similarity",
      "feature-extraction",
      "retrieval",
      "agent-skills",
      "skill-retrieval"
    ]
  },
  "createdAt": "2026-08-31T11:10:01.000Z",
  "downloads": 689,
  "gated": false,
  "id": "mradermacher/SkillReason-embedding-0.6b-GGUF",
  "lastModified": "2026-08-31T11:16:58.000Z",
  "library_name": "transformers",
  "likes": 0,
  "modelId": "mradermacher/SkillReason-embedding-0.6b-GGUF",
  "pipeline_tag": "feature-extraction",
  "private": false,
  "sha": "e605083146f0dbf822e55809dac461c916077d8f",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.IQ4_XS.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q2_K.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_L.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q4_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q4_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q5_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q5_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q6_K.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q8_0.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.f16.gguf"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "sentence-similarity",
    "feature-extraction",
    "retrieval",
    "agent-skills",
    "skill-retrieval",
    "en",
    "dataset:donghongjiang/skillreason-bench",
    "base_model:donghongjiang/SkillReason-embedding-0.6b",
    "base_model:quantized:donghongjiang/SkillReason-embedding-0.6b",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Author
author
not compared
Hugging Face modelsdonghongjiang
receipt
Source
Hugging Face models
Last answered
2026-10-04 18:21 UTC
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 quantisationsdonghongjiang/SkillReason-embedding-0.6b
receipt
Source
GGUF quantisations
Its words
donghongjiang/SkillReason-embedding-0.6b
Read by
field:cardData.base_model[]
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 18:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a95610948eddfa302dc1a04",
  "author": "mradermacher",
  "cardData": {
    "base_model": "donghongjiang/SkillReason-embedding-0.6b",
    "datasets": [
      "donghongjiang/skillreason-bench"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "sentence-similarity",
      "feature-extraction",
      "retrieval",
      "agent-skills",
      "skill-retrieval"
    ]
  },
  "createdAt": "2026-08-31T11:10:01.000Z",
  "downloads": 689,
  "gated": false,
  "id": "mradermacher/SkillReason-embedding-0.6b-GGUF",
  "lastModified": "2026-08-31T11:16:58.000Z",
  "library_name": "transformers",
  "likes": 0,
  "modelId": "mradermacher/SkillReason-embedding-0.6b-GGUF",
  "pipeline_tag": "feature-extraction",
  "private": false,
  "sha": "e605083146f0dbf822e55809dac461c916077d8f",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.IQ4_XS.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q2_K.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_L.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q4_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q4_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q5_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q5_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q6_K.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q8_0.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.f16.gguf"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "sentence-similarity",
    "feature-extraction",
    "retrieval",
    "agent-skills",
    "skill-retrieval",
    "en",
    "dataset:donghongjiang/skillreason-bench",
    "base_model:donghongjiang/SkillReason-embedding-0.6b",
    "base_model:quantized:donghongjiang/SkillReason-embedding-0.6b",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Downloads
downloads
not compared
GGUF quantisations689
receipt
Source
GGUF quantisations
Its words
689
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 18:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a95610948eddfa302dc1a04",
  "author": "mradermacher",
  "cardData": {
    "base_model": "donghongjiang/SkillReason-embedding-0.6b",
    "datasets": [
      "donghongjiang/skillreason-bench"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "sentence-similarity",
      "feature-extraction",
      "retrieval",
      "agent-skills",
      "skill-retrieval"
    ]
  },
  "createdAt": "2026-08-31T11:10:01.000Z",
  "downloads": 689,
  "gated": false,
  "id": "mradermacher/SkillReason-embedding-0.6b-GGUF",
  "lastModified": "2026-08-31T11:16:58.000Z",
  "library_name": "transformers",
  "likes": 0,
  "modelId": "mradermacher/SkillReason-embedding-0.6b-GGUF",
  "pipeline_tag": "feature-extraction",
  "private": false,
  "sha": "e605083146f0dbf822e55809dac461c916077d8f",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.IQ4_XS.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q2_K.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_L.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q4_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q4_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q5_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q5_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q6_K.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q8_0.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.f16.gguf"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "sentence-similarity",
    "feature-extraction",
    "retrieval",
    "agent-skills",
    "skill-retrieval",
    "en",
    "dataset:donghongjiang/skillreason-bench",
    "base_model:donghongjiang/SkillReason-embedding-0.6b",
    "base_model:quantized:donghongjiang/SkillReason-embedding-0.6b",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Downloads
downloads
not compared
Hugging Face models69
receipt
Source
Hugging Face models
Last answered
2026-10-04 18:21 UTC
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
80
receipt
Source
Hugging Face models
Its words
80
Read by
field:downloads
Said since
2026-10-04 12:16 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
2026-10-04 12:16 UTC80
2026-10-03 18:10 UTC82
2026-10-03 00:06 UTC81
What the source handed over
{
  "_asked": "donghongjiang/SkillReason-embedding-0.6b",
  "_id": "6a57957cf4d3430d6e4b1897",
  "author": "donghongjiang",
  "cardData": {
    "base_model": "Qwen/Qwen3-Embedding-0.6B",
    "citation": "@misc{jiang2026skillreasonreasoningenhancedagentskill,\n  title        = {SkillReason: Reasoning-Enhanced Agent Skill Retrieval for Implicit User Requests},\n  author       = {Donghong Jiang and Endian Lin and Luoping Cui and Hanqing Liu and Mingjie Liu and Fan Yang and Hong Wang and Zhao Yang and Chuang Zhu},\n  year         = {2026},\n  eprint       = {2608.08640},\n  archivePrefix = {arXiv},\n  primaryClass = {cs.AI},\n  url          = {https://arxiv.org/abs/2608.08640}\n}\n",
    "datasets": [
      "donghongjiang/skillreason-bench"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "feature-extraction",
    "tags": [
      "sentence-similarity",
      "feature-extraction",
      "retrieval",
      "agent-skills",
      "skill-retrieval"
    ]
  },
  "config": {
    "architectures": [
      "Qwen3ForCausalLM"
    ],
    "model_type": "qwen3",
    "tokenizer_config": {
      "bos_token": null,
      "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|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\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\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    {%- endif %}\n{%- endif %}",
      "eos_token": "<|im_end|>",
      "pad_token": "<|endoftext|>",
      "unk_token": null
    }
  },
  "createdAt": "2026-07-15T14:13:16.000Z",
  "disabled": false,
  "downloads": 80,
  "gated": false,
  "id": "donghongjiang/SkillReason-embedding-0.6b",
  "lastModified": "2026-08-31T04:10:11.000Z",
  "library_name": "transformers",
  "likes": 0,
  "model-index": null,
  "modelId": "donghongjiang/SkillReason-embedding-0.6b",
  "pipeline_tag": "feature-extraction",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 595776512
    },
    "total": 595776512
  },
  "sha": "1ef1a664d60c1fb0951a13cceace57a07c877c17",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "added_tokens.json"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "merges.txt"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "special_tokens_map.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "vocab.json"
    }
  ],
  "spaces": [],
  "tags": [
    "transformers",
    "safetensors",
    "qwen3",
    "text-generation",
    "sentence-similarity",
    "feature-extraction",
    "retrieval",
    "agent-skills",
    "skill-retrieval",
    "en",
    "dataset:donghongjiang/skillreason-bench",
    "arxiv:2608.08640",
    "base_model:Qwen/Qwen3-Embedding-0.6B",
    "base_model:finetune:Qwen/Qwen3-Embedding-0.6B",
    "license:apache-2.0",
    "text-embeddings-inference",
    "endpoints_compatible",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 1203011985
}
—
Gated
gated
Hugging Face modelsfalse
receipt
Source
Hugging Face models
Last answered
2026-10-04 18:21 UTC
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
2026-10-04 18:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a95610948eddfa302dc1a04",
  "author": "mradermacher",
  "cardData": {
    "base_model": "donghongjiang/SkillReason-embedding-0.6b",
    "datasets": [
      "donghongjiang/skillreason-bench"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "sentence-similarity",
      "feature-extraction",
      "retrieval",
      "agent-skills",
      "skill-retrieval"
    ]
  },
  "createdAt": "2026-08-31T11:10:01.000Z",
  "downloads": 689,
  "gated": false,
  "id": "mradermacher/SkillReason-embedding-0.6b-GGUF",
  "lastModified": "2026-08-31T11:16:58.000Z",
  "library_name": "transformers",
  "likes": 0,
  "modelId": "mradermacher/SkillReason-embedding-0.6b-GGUF",
  "pipeline_tag": "feature-extraction",
  "private": false,
  "sha": "e605083146f0dbf822e55809dac461c916077d8f",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.IQ4_XS.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q2_K.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_L.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q4_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q4_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q5_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q5_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q6_K.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q8_0.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.f16.gguf"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "sentence-similarity",
    "feature-extraction",
    "retrieval",
    "agent-skills",
    "skill-retrieval",
    "en",
    "dataset:donghongjiang/skillreason-bench",
    "base_model:donghongjiang/SkillReason-embedding-0.6b",
    "base_model:quantized:donghongjiang/SkillReason-embedding-0.6b",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Licence
licence
Hugging Face modelsapache-2.0
receipt
Source
Hugging Face models
Last answered
2026-10-04 18:21 UTC
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
GGUF quantisations0
receipt
Source
GGUF quantisations
Its words
0
Read by
field:likes
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 18:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a95610948eddfa302dc1a04",
  "author": "mradermacher",
  "cardData": {
    "base_model": "donghongjiang/SkillReason-embedding-0.6b",
    "datasets": [
      "donghongjiang/skillreason-bench"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "sentence-similarity",
      "feature-extraction",
      "retrieval",
      "agent-skills",
      "skill-retrieval"
    ]
  },
  "createdAt": "2026-08-31T11:10:01.000Z",
  "downloads": 689,
  "gated": false,
  "id": "mradermacher/SkillReason-embedding-0.6b-GGUF",
  "lastModified": "2026-08-31T11:16:58.000Z",
  "library_name": "transformers",
  "likes": 0,
  "modelId": "mradermacher/SkillReason-embedding-0.6b-GGUF",
  "pipeline_tag": "feature-extraction",
  "private": false,
  "sha": "e605083146f0dbf822e55809dac461c916077d8f",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.IQ4_XS.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q2_K.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_L.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q3_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q4_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q4_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q5_K_M.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q5_K_S.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q6_K.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.Q8_0.gguf"
    },
    {
      "rfilename": "SkillReason-embedding-0.6b.f16.gguf"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "sentence-similarity",
    "feature-extraction",
    "retrieval",
    "agent-skills",
    "skill-retrieval",
    "en",
    "dataset:donghongjiang/skillreason-bench",
    "base_model:donghongjiang/SkillReason-embedding-0.6b",
    "base_model:quantized:donghongjiang/SkillReason-embedding-0.6b",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Likes
likes
Hugging Face models0
receipt
Source
Hugging Face models
Last answered
2026-10-04 18:21 UTC
Original
open at the source

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

—
Task
task
Hugging Face modelsfeature-extraction
receipt
Source
Hugging Face models
Last answered
2026-10-04 18:21 UTC
Original
open at the source

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

—

model

donghongjiang/SkillReason-embedding-0.6b
zetlyn/models-hf · 2026-07-15
author donghongjiang downloads 69 gated false licence apache-2.0 likes 0 task feature-extraction source
donghongjiang/SkillReason-embedding-0.6b
zetlyn/models-hf · 2026-07-15
author donghongjiang downloads 80 gated false licence apache-2.0 likes 0 task feature-extraction source

quantisation

mradermacher/SkillReason-embedding-0.6b-GGUF
zetlyn/models-gguf · 2026-08-31
author mradermacher base donghongjiang/SkillReason-embedding-0.6b downloads 689 licence apache-2.0 likes 0 source