CewEhao/OPD-Aha-4B

hf CewEhao/OPD-Aha-4B 2 sources, 4 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 12:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa8e84a8217bf4ee19746ed",
  "author": "mradermacher",
  "cardData": {
    "base_model": "CewEhao/OPD-Aha-4B",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "vision-language-model",
      "fine-grained-visual-understanding",
      "multimodal-reasoning",
      "on-policy-distillation",
      "reinforcement-learning"
    ]
  },
  "createdAt": "2026-09-15T06:40:10.000Z",
  "downloads": 2670,
  "gated": false,
  "id": "mradermacher/OPD-Aha-4B-i1-GGUF",
  "lastModified": "2026-09-15T07:00:05.000Z",
  "library_name": "transformers",
  "likes": 0,
  "modelId": "mradermacher/OPD-Aha-4B-i1-GGUF",
  "pipeline_tag": "reinforcement-learning",
  "private": false,
  "sha": "b4384ed39331074b62a2403aa7b0e6c47c112331",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ1_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ1_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_XXS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_XXS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ4_NL.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ4_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q2_K.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q2_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_L.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_0.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_1.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q5_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q5_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q6_K.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.imatrix.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "vision-language-model",
    "fine-grained-visual-understanding",
    "multimodal-reasoning",
    "on-policy-distillation",
    "reinforcement-learning",
    "en",
    "base_model:CewEhao/OPD-Aha-4B",
    "base_model:quantized:CewEhao/OPD-Aha-4B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ]
}
—
Author
author
not compared
Hugging Face modelsCewEhao
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 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 quantisationsCewEhao/OPD-Aha-4B
receipt
Source
GGUF quantisations
Its words
CewEhao/OPD-Aha-4B
Read by
field:cardData.base_model[]
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa8e84a8217bf4ee19746ed",
  "author": "mradermacher",
  "cardData": {
    "base_model": "CewEhao/OPD-Aha-4B",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "vision-language-model",
      "fine-grained-visual-understanding",
      "multimodal-reasoning",
      "on-policy-distillation",
      "reinforcement-learning"
    ]
  },
  "createdAt": "2026-09-15T06:40:10.000Z",
  "downloads": 2670,
  "gated": false,
  "id": "mradermacher/OPD-Aha-4B-i1-GGUF",
  "lastModified": "2026-09-15T07:00:05.000Z",
  "library_name": "transformers",
  "likes": 0,
  "modelId": "mradermacher/OPD-Aha-4B-i1-GGUF",
  "pipeline_tag": "reinforcement-learning",
  "private": false,
  "sha": "b4384ed39331074b62a2403aa7b0e6c47c112331",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ1_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ1_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_XXS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_XXS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ4_NL.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ4_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q2_K.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q2_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_L.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_0.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_1.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q5_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q5_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q6_K.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.imatrix.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "vision-language-model",
    "fine-grained-visual-understanding",
    "multimodal-reasoning",
    "on-policy-distillation",
    "reinforcement-learning",
    "en",
    "base_model:CewEhao/OPD-Aha-4B",
    "base_model:quantized:CewEhao/OPD-Aha-4B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ]
}
—
Downloads
downloads
not compared
GGUF quantisations2670
receipt
Source
GGUF quantisations
Its words
2670
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa8e84a8217bf4ee19746ed",
  "author": "mradermacher",
  "cardData": {
    "base_model": "CewEhao/OPD-Aha-4B",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "vision-language-model",
      "fine-grained-visual-understanding",
      "multimodal-reasoning",
      "on-policy-distillation",
      "reinforcement-learning"
    ]
  },
  "createdAt": "2026-09-15T06:40:10.000Z",
  "downloads": 2670,
  "gated": false,
  "id": "mradermacher/OPD-Aha-4B-i1-GGUF",
  "lastModified": "2026-09-15T07:00:05.000Z",
  "library_name": "transformers",
  "likes": 0,
  "modelId": "mradermacher/OPD-Aha-4B-i1-GGUF",
  "pipeline_tag": "reinforcement-learning",
  "private": false,
  "sha": "b4384ed39331074b62a2403aa7b0e6c47c112331",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ1_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ1_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_XXS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_XXS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ4_NL.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ4_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q2_K.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q2_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_L.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_0.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_1.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q5_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q5_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q6_K.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.imatrix.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "vision-language-model",
    "fine-grained-visual-understanding",
    "multimodal-reasoning",
    "on-policy-distillation",
    "reinforcement-learning",
    "en",
    "base_model:CewEhao/OPD-Aha-4B",
    "base_model:quantized:CewEhao/OPD-Aha-4B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ]
}
—
Downloads
downloads
not compared
772
receipt
Source
GGUF quantisations
Its words
772
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-04 12:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa7f03298b3ffd222ad784c",
  "author": "mradermacher",
  "cardData": {
    "base_model": "CewEhao/OPD-Aha-4B",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "vision-language-model",
      "fine-grained-visual-understanding",
      "multimodal-reasoning",
      "on-policy-distillation",
      "reinforcement-learning"
    ]
  },
  "createdAt": "2026-09-14T13:01:38.000Z",
  "downloads": 772,
  "gated": false,
  "id": "mradermacher/OPD-Aha-4B-GGUF",
  "lastModified": "2026-09-15T06:57:22.000Z",
  "library_name": "transformers",
  "likes": 0,
  "modelId": "mradermacher/OPD-Aha-4B-GGUF",
  "pipeline_tag": "reinforcement-learning",
  "private": false,
  "sha": "aaf310be42272a48ea9272695bb03981b47fc06f",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "OPD-Aha-4B.IQ4_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.Q2_K.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.Q3_K_L.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.Q3_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.Q3_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.Q4_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.Q4_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.Q5_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.Q5_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.Q6_K.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.Q8_0.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.f16.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.mmproj-Q8_0.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.mmproj-f16.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "vision-language-model",
    "fine-grained-visual-understanding",
    "multimodal-reasoning",
    "on-policy-distillation",
    "reinforcement-learning",
    "en",
    "base_model:CewEhao/OPD-Aha-4B",
    "base_model:quantized:CewEhao/OPD-Aha-4B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Downloads
downloads
not compared
Hugging Face models65
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 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
78
receipt
Source
Hugging Face models
Its words
78
Read by
field:downloads
Said since
2026-10-03 12:09 UTC
Last answered
2026-10-04 12:21 UTC
Original
open at the source
2026-10-03 12:09 UTC78
2026-10-02 12:02 UTC75
What the source handed over
{
  "_asked": "CewEhao/OPD-Aha-4B",
  "_id": "6aa6b9dc0ba65028503c3ae5",
  "author": "CewEhao",
  "cardData": {
    "base_model": "Qwen/Qwen3.5-4B",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "vision-language-model",
      "fine-grained-visual-understanding",
      "multimodal-reasoning",
      "on-policy-distillation",
      "reinforcement-learning"
    ]
  },
  "config": {
    "architectures": [
      "Qwen3_5ForConditionalGeneration"
    ],
    "chat_template_jinja": "{%- set _enable_thinking = enable_thinking if enable_thinking is defined else none %}\n{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {%- if messages[0].content is string %}\n            {{- messages[0].content }}\n        {%- else %}\n            {%- for content in messages[0].content %}\n                {%- if 'text' in content %}\n                    {{- content.text }}\n                {%- endif %}\n            {%- endfor %}\n        {%- endif %}\n        {{- '\\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' }}\n        {%- if messages[0].content is string %}\n            {{- messages[0].content }}\n        {%- else %}\n            {%- for content in messages[0].content %}\n                {%- if 'text' in content %}\n                    {{- content.text }}\n                {%- endif %}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n    {%- if message.role == \"user\" %}\n        {{- '<|im_start|>' + message.role + '\\n' }}\n        {%- if message.content is string %}\n            {{- message.content }}\n        {%- else %}\n            {%- for content in message.content %}\n                {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n                    {%- set image_count.value = image_count.value + 1 %}\n                    {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n                    <|vision_start|><|image_pad|><|vision_end|>\n                {%- elif content.type == 'video' or 'video' in content %}\n                    {%- set video_count.value = video_count.value + 1 %}\n                    {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n                    <|vision_start|><|video_pad|><|vision_end|>\n                {%- elif 'text' in content %}\n                    {{- content.text }}\n                {%- endif %}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role + '\\n' }}\n        {%- if message.content is string %}\n            {{- message.content }}\n        {%- else %}\n            {%- for content_item in message.content %}\n                {%- if 'text' in content_item %}\n                    {{- content_item.text }}\n                {%- endif %}\n            {%- endfor %}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and message.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        {%- if message.content is string %}\n            {{- message.content }}\n        {%- else %}\n            {%- for content in message.content %}\n                {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n                    {%- set image_count.value = image_count.value + 1 %}\n                    {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n                    <|vision_start|><|image_pad|><|vision_end|>\n                {%- elif content.type == 'video' or 'video' in content %}\n                    {%- set video_count.value = video_count.value + 1 %}\n                    {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n                    <|vision_start|><|video_pad|><|vision_end|>\n                {%- elif 'text' in content %}\n                    {{- content.text }}\n                {%- endif %}\n            {%- endfor %}\n        {%- endif %}\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    {{- '<think>\\n\\n</think>\\n\\n' }}\n{%- endif %}\n",
    "model_type": "qwen3_5",
    "tokenizer_config": {
      "bos_token": null,
      "eos_token": "<|im_end|>",
      "pad_token": "<|endoftext|>",
      "unk_token": null
    }
  },
  "createdAt": "2026-09-13T14:57:32.000Z",
  "disabled": false,
  "downloads": 78,
  "gated": false,
  "id": "CewEhao/OPD-Aha-4B",
  "lastModified": "2026-09-16T04:26:38.000Z",
  "library_name": "transformers",
  "likes": 0,
  "model-index": null,
  "modelId": "CewEhao/OPD-Aha-4B",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 5174964736
    },
    "total": 5174964736
  },
  "sha": "48dd8825e7a5edc2f53dd144bc2db5869da2afae",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "processor_config.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [],
  "tags": [
    "transformers",
    "safetensors",
    "qwen3_5",
    "image-text-to-text",
    "vision-language-model",
    "fine-grained-visual-understanding",
    "multimodal-reasoning",
    "on-policy-distillation",
    "reinforcement-learning",
    "conversational",
    "en",
    "arxiv:2609.16459",
    "base_model:Qwen/Qwen3.5-4B",
    "base_model:finetune:Qwen/Qwen3.5-4B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForMultimodalLM",
    "pipeline_tag": "image-text-to-text",
    "processor": "AutoProcessor"
  },
  "usedStorage": 10370008671,
  "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
Last answered
2026-10-04 12:21 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 12:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa8e84a8217bf4ee19746ed",
  "author": "mradermacher",
  "cardData": {
    "base_model": "CewEhao/OPD-Aha-4B",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "vision-language-model",
      "fine-grained-visual-understanding",
      "multimodal-reasoning",
      "on-policy-distillation",
      "reinforcement-learning"
    ]
  },
  "createdAt": "2026-09-15T06:40:10.000Z",
  "downloads": 2670,
  "gated": false,
  "id": "mradermacher/OPD-Aha-4B-i1-GGUF",
  "lastModified": "2026-09-15T07:00:05.000Z",
  "library_name": "transformers",
  "likes": 0,
  "modelId": "mradermacher/OPD-Aha-4B-i1-GGUF",
  "pipeline_tag": "reinforcement-learning",
  "private": false,
  "sha": "b4384ed39331074b62a2403aa7b0e6c47c112331",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ1_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ1_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_XXS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_XXS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ4_NL.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ4_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q2_K.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q2_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_L.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_0.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_1.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q5_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q5_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q6_K.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.imatrix.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "vision-language-model",
    "fine-grained-visual-understanding",
    "multimodal-reasoning",
    "on-policy-distillation",
    "reinforcement-learning",
    "en",
    "base_model:CewEhao/OPD-Aha-4B",
    "base_model:quantized:CewEhao/OPD-Aha-4B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ]
}
—
Licence
licence
Hugging Face modelsapache-2.0
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 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 12:16 UTC
Original
open at the source
What the source handed over
{
  "_id": "6aa8e84a8217bf4ee19746ed",
  "author": "mradermacher",
  "cardData": {
    "base_model": "CewEhao/OPD-Aha-4B",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "vision-language-model",
      "fine-grained-visual-understanding",
      "multimodal-reasoning",
      "on-policy-distillation",
      "reinforcement-learning"
    ]
  },
  "createdAt": "2026-09-15T06:40:10.000Z",
  "downloads": 2670,
  "gated": false,
  "id": "mradermacher/OPD-Aha-4B-i1-GGUF",
  "lastModified": "2026-09-15T07:00:05.000Z",
  "library_name": "transformers",
  "likes": 0,
  "modelId": "mradermacher/OPD-Aha-4B-i1-GGUF",
  "pipeline_tag": "reinforcement-learning",
  "private": false,
  "sha": "b4384ed39331074b62a2403aa7b0e6c47c112331",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ1_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ1_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ2_XXS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ3_XXS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ4_NL.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-IQ4_XS.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q2_K.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q2_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_L.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q3_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_0.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_1.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q4_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q5_K_M.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q5_K_S.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.i1-Q6_K.gguf"
    },
    {
      "rfilename": "OPD-Aha-4B.imatrix.gguf"
    },
    {
      "rfilename": "README.md"
    }
  ],
  "tags": [
    "transformers",
    "gguf",
    "vision-language-model",
    "fine-grained-visual-understanding",
    "multimodal-reasoning",
    "on-policy-distillation",
    "reinforcement-learning",
    "en",
    "base_model:CewEhao/OPD-Aha-4B",
    "base_model:quantized:CewEhao/OPD-Aha-4B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ]
}
—
Likes
likes
Hugging Face models0
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 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 modelsimage-text-to-text
receipt
Source
Hugging Face models
Last answered
2026-10-04 12:21 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

CewEhao/OPD-Aha-4B
zetlyn/models-hf · 2026-09-13
author CewEhao downloads 65 gated false licence apache-2.0 likes 0 task image-text-to-text source
CewEhao/OPD-Aha-4B
zetlyn/models-hf · 2026-09-13
author CewEhao downloads 78 gated false licence apache-2.0 likes 0 task image-text-to-text source

quantisation

mradermacher/OPD-Aha-4B-i1-GGUF
zetlyn/models-gguf · 2026-09-15
author mradermacher base CewEhao/OPD-Aha-4B downloads 2670 licence apache-2.0 likes 0 source
mradermacher/OPD-Aha-4B-GGUF
zetlyn/models-gguf · 2026-09-14
author mradermacher base CewEhao/OPD-Aha-4B downloads 772 licence apache-2.0 likes 0 source