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melvin56/qwen3-8b-abliterated-gguf Q2_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

melvin56/qwen3-8b-abliterated-gguf overview

Original Model : huihui-ai/Qwen3-8B-abliterated Llama.cpp build: 0208355 (5342) I used imatrix to create all these quants using this Dataset. --- | | CPU (AVX2) | CPU (ARM NEON) | Metal | cuBLAS | rocBLAS | SYCL | CLBlast | Vulkan | Kompute | | :------------ | :---------: | :------------: | :---: | :----: | :-----: | :---: | :------: | :----: | :------: | | K-quants | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ 🐢5 | ✅ 🐢5 | ❌ | | I-quants | ✅ 🐢4 | ✅ 🐢4 | ✅ 🐢4 | ✅ | ✅ | Partial¹ | ❌ | ❌ | ❌ |

ggufchatabliterateduncensoredtext-generationbase_model:huihui-ai/Qwen3-8B-abliteratedbase_model:quantized:huihui-ai/Qwen3-8B-abliteratedlicense:apache-2.0endpoints_compatibleregion:us
melvin56/qwen3-8b-abliterated-gguf visual
Downloads
128
Likes
0
Pipeline
text-generation
Library
Visibility
Public
Access
Open

Repository Files & Downloads

8 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
qwen3-8b-abliterated-BF16.gguf GGUF BF16 15.26 GB Download
qwen3-8b-abliterated-IQ4_XS.gguf GGUF IQ4_XS 4.25 GB Download
qwen3-8b-abliterated-Q2_K.gguf GGUF Q2_K 3.06 GB Download
qwen3-8b-abliterated-Q3_K_M.gguf GGUF Q3_K_M 3.84 GB Download
qwen3-8b-abliterated-Q4_K_M.gguf GGUF Q4_K_M 4.68 GB Download
qwen3-8b-abliterated-Q5_K_M.gguf GGUF Q5_K_M 5.45 GB Download
qwen3-8b-abliterated-Q6_K.gguf GGUF Q6_K 6.26 GB Download
qwen3-8b-abliterated-Q8_0.gguf GGUF 8.11 GB Download

Model Details Live

Model Slug
melvin56/qwen3-8b-abliterated-gguf
Author
Melvin56
Pipeline Task
text-generation
Library
Created
2025-05-11
Last Modified
2025-05-11
Gated
No
Private
No
HF SHA
6ece045abb3caec6972c0a8a17b1df9c6cbf89e4
License
apache-2.0
Language
Unknown
Base Model
huihui-ai/Qwen3-8B-abliterated

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "license": "apache-2.0",
    "license_link": "https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE",
    "pipeline_tag": "text-generation",
    "base_model": [
      "huihui-ai/Qwen3-8B-abliterated"
    ],
    "tags": [
      "chat",
      "abliterated",
      "uncensored"
    ],
    "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",
      "license_link": "https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE",
      "pipeline_tag": "text-generation",
      "base_model": [
        "huihui-ai/Qwen3-8B-abliterated"
      ],
      "tags": [
        "chat",
        "abliterated",
        "uncensored"
      ],
      "extra_gated_prompt": ">-"
    },
    "hero_image_url": "",
    "summary": "Original Model : huihui-ai/Qwen3-8B-abliterated Llama.cpp build: 0208355 (5342) I used imatrix to create all these quants using this Dataset. --- |               | CPU (AVX2) | CPU (ARM NEON) | Metal | cuBLAS | rocBLAS | SYCL | CLBlast | Vulkan | Kompute | | :------------ | :---------: | :------------: | :---: | :----: | :-----: | :---: | :------: | :----: | :------: | | K-quants      |      ✅     |       ✅      |   ✅  |   ✅   |    ✅   |  ✅  |   ✅ 🐢5  |  ✅ 🐢5 |    ❌    | | I-quants      |    ✅ 🐢4   |     ✅ 🐢4    |  ✅ 🐢4 |   ✅   |    ✅   | Partial¹ |    ❌    |   ❌  |    ❌    | `` ✅: feature works 🚫: feature does not work ❓: unknown, please contribute if you can test it youself 🐢: feature is slow ¹: IQ3_S and IQ1_S, see #5886 ²: Only with -ngl 0 ³: Inference is 50% slower ⁴: Slower than K-quants of comparable size ⁵: Slower than cuBLAS/rocBLAS on similar cards ⁶: Only q8_0 and iq4_nl ``",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: apache-2.0\nlicense_link: https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE\npipeline_tag: text-generation\nbase_model:\n- huihui-ai/Qwen3-8B-abliterated\ntags:\n- chat\n- abliterated\n- uncensored\nextra_gated_prompt: >-\n  **Usage Warnings**\n\n\n  “**Risk of Sensitive or Controversial Outputs**“: This model’s safety\n  filtering has been significantly reduced, potentially generating sensitive,\n  controversial, or inappropriate content. Users should exercise caution and\n  rigorously review generated outputs.\n\n  “**Not Suitable for All Audiences**:“ Due to limited content filtering, the\n  model’s outputs may be inappropriate for public settings, underage users, or\n  applications requiring high security.\n\n  “**Legal and Ethical Responsibilities**“: Users must ensure their usage\n  complies with local laws and ethical standards. Generated content may carry\n  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\n  research, testing, or controlled environments, avoiding direct use in\n  production or public-facing commercial applications.\n\n  “**Monitoring and Review Recommendations**“: Users are strongly advised to\n  monitor model outputs in real-time and conduct manual reviews when necessary\n  to prevent the dissemination of inappropriate content.\n\n  “**No Default Safety Guarantees**“: Unlike standard models, this model has not\n  undergone rigorous safety optimization. huihui.ai bears no responsibility for\n  any consequences arising from its use.\n---\n\n# Melvin56/Qwen3-8B-abliterated-GGUF\n\nOriginal Model : [huihui-ai/Qwen3-8B-abliterated](https://huggingface.co/huihui-ai/Qwen3-8B-abliterated)\n\nLlama.cpp build: 0208355 (5342)\n\nI used imatrix to create all these quants using this [Dataset](https://gist.github.com/tristandruyen/9e207a95c7d75ddf37525d353e00659c/#file-calibration_data_v5_rc-txt).\n\n---\n\n|               | CPU (AVX2) | CPU (ARM NEON) | Metal | cuBLAS | rocBLAS | SYCL | CLBlast | Vulkan | Kompute |\n| :------------ | :---------: | :------------: | :---: | :----: | :-----: | :---: | :------: | :----: | :------: |\n| K-quants      |      ✅     |       ✅      |   ✅  |   ✅   |    ✅   |  ✅  |   ✅ 🐢5  |  ✅ 🐢5 |    ❌    |\n| I-quants      |    ✅ 🐢4   |     ✅ 🐢4    |  ✅ 🐢4 |   ✅   |    ✅   | Partial¹ |    ❌    |   ❌  |    ❌    |\n```\n✅: feature works\n🚫: feature does not work\n❓: unknown, please contribute if you can test it youself\n🐢: feature is slow\n¹: IQ3_S and IQ1_S, see #5886\n²: Only with -ngl 0\n³: Inference is 50% slower\n⁴: Slower than K-quants of comparable size\n⁵: Slower than cuBLAS/rocBLAS on similar cards\n⁶: Only q8_0 and iq4_nl\n```",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "chat",
    "abliterated",
    "uncensored",
    "text-generation",
    "base_model:huihui-ai/Qwen3-8B-abliterated",
    "base_model:quantized:huihui-ai/Qwen3-8B-abliterated",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 128,
  "gated": false,
  "private": false,
  "last_modified": "2025-05-11T09:05:32.000Z",
  "created_at": "2025-05-11T01:17:01.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "681ffa8df8c808f784a25561",
  "id": "Melvin56/Qwen3-8B-abliterated-GGUF",
  "modelId": "Melvin56/Qwen3-8B-abliterated-GGUF",
  "sha": "6ece045abb3caec6972c0a8a17b1df9c6cbf89e4",
  "createdAt": "2025-05-11T01:17:01.000Z",
  "lastModified": "2025-05-11T09:05:32.000Z",
  "author": "Melvin56",
  "downloads": 128,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "",
  "siblings_count": 11
}