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huihui-ai/huihui-mistral-small-4-119b-2603-bf16-abliterated-gguf Q4_K GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

huihui-ai/huihui-mistral-small-4-119b-2603-bf16-abliterated-gguf overview

This is an uncensored version of mistralai/Mistral-Small-4-119B-2603 created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

ggufabliterateduncensoredGGUFimage-text-to-textconversationalenfrdeesptitjakoruzharfaidmsneplrosrsvtrukvihibn
huihui-ai/huihui-mistral-small-4-119b-2603-bf16-abliterated-gguf visual
Downloads
2,259
Likes
4
Pipeline
image-text-to-text
Library
Visibility
Public
Access
Open

Repository Files & Downloads

9 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Q4_K-GGUF-00001-of-00008.gguf GGUF Q4_K 9.20 GB Download
Q4_K-GGUF-00002-of-00008.gguf GGUF Q4_K 9.11 GB Download
Q4_K-GGUF-00003-of-00008.gguf GGUF Q4_K 8.85 GB Download
Q4_K-GGUF-00004-of-00008.gguf GGUF Q4_K 9.11 GB Download
Q4_K-GGUF-00005-of-00008.gguf GGUF Q4_K 9.11 GB Download
Q4_K-GGUF-00006-of-00008.gguf GGUF Q4_K 8.85 GB Download
Q4_K-GGUF-00007-of-00008.gguf GGUF Q4_K 9.05 GB Download
Q4_K-GGUF-00008-of-00008.gguf GGUF Q4_K 3.94 GB Download
mmproj-model-f16.gguf GGUF F16 817.37 MB Download

Model Details Live

Model Slug
huihui-ai/huihui-mistral-small-4-119b-2603-bf16-abliterated-gguf
Author
huihui-ai
Pipeline Task
image-text-to-text
Library
Created
2026-03-27
Last Modified
2026-03-30
Gated
No
Private
No
HF SHA
debe84396431b9860ef39a28b919cae4b74a3711
License
apache-2.0
Language
en, fr, de, es, pt, it, ja, ko, ru, zh, ar, fa, id, ms, ne, pl, ro, sr, sv, tr, uk, vi, hi, bn
Base Model
mistralai/Mistral-Small-4-119B-2603

Metadata Inspector

Normalized metadata (stored in metadata_json)
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  "card_data": {
    "license": "apache-2.0",
    "language": [
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    "pipeline_tag": "image-text-to-text",
    "base_model": [
      "mistralai/Mistral-Small-4-119B-2603"
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    "tags": [
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      "uncensored",
      "GGUF"
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    "extra_gated_prompt": "**Usage Warnings**\n\n“**Risk of Sensitive or Controversial Outputs**“: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.\n“**Not Suitable for All Audiences**:“ Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.\n“**Legal and Ethical Responsibilities**“: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.\n“**Research and Experimental Use**“: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.\n“**Monitoring and Review Recommendations**“: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.\n“**No Default Safety Guarantees**“: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.",
    "frontmatter": {
      "license": "apache-2.0",
      "language": [
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    "summary": "This is an uncensored version of mistralai/Mistral-Small-4-119B-2603 created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.",
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    "readme_markdown": "---\nlicense: apache-2.0\nlanguage:\n- en\n- fr\n- de\n- es\n- pt\n- it\n- ja\n- ko\n- ru\n- zh\n- ar\n- fa\n- id\n- ms\n- ne\n- pl\n- ro\n- sr\n- sv\n- tr\n- uk\n- vi\n- hi\n- bn\npipeline_tag: image-text-to-text\nbase_model:\n- mistralai/Mistral-Small-4-119B-2603\ntags:\n- abliterated\n- uncensored\n- GGUF\n\nextra_gated_prompt: >-\n    **Usage Warnings**\n\n\n    “**Risk of Sensitive or Controversial Outputs**“: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.\n\n    “**Not Suitable for All Audiences**:“ Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.\n\n    “**Legal and Ethical Responsibilities**“: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.\n\n    “**Research and Experimental Use**“: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.\n\n    “**Monitoring and Review Recommendations**“: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.\n\n    “**No Default Safety Guarantees**“: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.\n\n\n---\n\n# huihui-ai/Huihui-Mistral-Small-4-119B-2603-BF16-abliterated-GGUF\n\n\nThis is an uncensored version of [mistralai/Mistral-Small-4-119B-2603](https://huggingface.co/mistralai/Mistral-Small-4-119B-2603) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).\nThis is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. \n\n## Note\n\nIn this ablation procedure, the weights of the first 10 layers were maintained, and only the weights of the layers that followed were adjusted. It is possible that in very few cases, the results will be rejected as a result of these changes.\n\nIf you want to receive fewer rejections, you can access another version [huihui-ai/Huihui-Mistral-Small-4-119B-2603-BF16-abliterated-v2-GGUF](https://huggingface.co/huihui-ai/Huihui-Mistral-Small-4-119B-2603-BF16-abliterated-v2-GGUF).\n\n## Download and merge \n\n\nUse the [llama.cpp](https://github.com/ggml-org/llama.cpp) split program to merge model (llama-gguf-split needs to be compiled.),\n\n```\nhuggingface-cli download huihui-ai/Huihui-Mistral-Small-4-119B-2603-BF16-abliterated-GGUF --local-dir ./huihui-ai/Huihui-Mistral-Small-4-119B-2603-BF16-abliterated-GGUF --token xxx\n\n\nllama-gguf-split --merge huihui-ai/Huihui-Mistral-Small-4-119B-2603-BF16-abliterated-GGUF/Q4_K-GGUF/Q4_K-GGUF-00001-of-00008.gguf huihui-ai/Huihui-Mistral-Small-4-119B-2603-BF16-abliterated-GGUF/ggml-model-Q4_K.gguf\n\n```\n\n\n## chat_template.jinja\n\nWe have added a new file named [chat_template.jinja](https://huggingface.co/huihui-ai/Huihui-Mistral-Small-4-119B-2603-BF16-abliterated-GGUF/blob/main/chat_template.jinja), \n\nThe new file chat_template.jinja is more compatible with using Tool Calling in [llama-server](https://github.com/ggml-org/llama.cpp/releases), \nespecially when [opencode](https://github.com/anomalyco/opencode/releases) and [oh-my-opencode](https://github.com/code-yeongyu/oh-my-opencode/releases)is involved.\n\nThis will help prevent 500 error messages from occurring in the llama-server.\n\n### How to use it\nAdd --chat-template-file /path/chat_template.jinja after the llama-server command.\n\n\n### Usage Warnings\n\n\n - **Risk of Sensitive or Controversial Outputs**: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.\n\n - **Not Suitable for All Audiences**: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.\n\n - **Legal and Ethical Responsibilities**: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.\n\n - **Research and Experimental Use**: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.\n\n - **Monitoring and Review Recommendations**: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.\n\n - **No Default Safety Guarantees**: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.\n\n\n### Donation\n\nIf you like it, please click 'like' and follow us for more updates.  \nYou can follow [x.com/support_huihui](https://x.com/support_huihui) to get the latest model information from huihui.ai.\n\n##### Your donation helps us continue our further development and improvement, a cup of coffee can do it.\n- bitcoin(BTC):\n```\n  bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge\n```\n- Support our work on Ko-fi (https://ko-fi.com/huihuiai)!\n",
    "related_quantizations": []
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  "likes": 4,
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  "gated": false,
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  "last_modified": "2026-03-30T02:12:55.000Z",
  "created_at": "2026-03-27T08:42:19.000Z",
  "pipeline_tag": "image-text-to-text",
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Source payload excerpt (from Hugging Face API)
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