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mradermacher/qwen3.5-9b-uncensored-safetensors-gguf overview

About static quants of https://huggingface.co/nDimensional/Qwen3.5-9B-Uncensored-Safetensors For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-i1-GGUF

transformersggufqwen3_5conversationalqwenuncensoredunfilteredvllmmultimodalablationqwen35enzhbase_model:nDimensional/Qwen3.5-9B-Uncensored-Safetensorsbase_model:quantized:nDimensional/Qwen3.5-9B-Uncensored-Safetensorslicense:apache-2.0endpoints_compatibleregion:us
mradermacher/qwen3.5-9b-uncensored-safetensors-gguf visual
Downloads
1,352
Likes
2
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

14 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Qwen3.5-9B-Uncensored-Safetensors.IQ4_XS.gguf GGUF IQ4_XS 4.87 GB Download
Qwen3.5-9B-Uncensored-Safetensors.Q2_K.gguf GGUF Q2_K 3.56 GB Download
Qwen3.5-9B-Uncensored-Safetensors.Q3_K_L.gguf GGUF Q3_K_L 4.59 GB Download
Qwen3.5-9B-Uncensored-Safetensors.Q3_K_M.gguf GGUF Q3_K_M 4.31 GB Download
Qwen3.5-9B-Uncensored-Safetensors.Q3_K_S.gguf GGUF Q3_K_S 3.97 GB Download
Qwen3.5-9B-Uncensored-Safetensors.Q4_K_M.gguf GGUF Q4_K_M 5.24 GB Download
Qwen3.5-9B-Uncensored-Safetensors.Q4_K_S.gguf GGUF Q4_K_S 4.98 GB Download
Qwen3.5-9B-Uncensored-Safetensors.Q5_K_M.gguf GGUF Q5_K_M 6.02 GB Download
Qwen3.5-9B-Uncensored-Safetensors.Q5_K_S.gguf GGUF Q5_K_S 5.87 GB Download
Qwen3.5-9B-Uncensored-Safetensors.Q6_K.gguf GGUF Q6_K 6.85 GB Download
Qwen3.5-9B-Uncensored-Safetensors.Q8_0.gguf GGUF 8.87 GB Download
Qwen3.5-9B-Uncensored-Safetensors.f16.gguf GGUF F16 16.69 GB Download
Qwen3.5-9B-Uncensored-Safetensors.mmproj-Q8_0.gguf GGUF 595.31 MB Download
Qwen3.5-9B-Uncensored-Safetensors.mmproj-f16.gguf GGUF F16 875.63 MB Download

Model Details Live

Model Slug
mradermacher/qwen3.5-9b-uncensored-safetensors-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2026-03-31
Last Modified
2026-03-31
Gated
No
Private
No
HF SHA
e4335bdc2a3986046803a1bd5d3e9334855580cf
License
apache-2.0
Language
en, zh
Base Model
nDimensional/Qwen3.5-9B-Uncensored-Safetensors

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "nDimensional/Qwen3.5-9B-Uncensored-Safetensors",
    "language": [
      "en",
      "zh"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "qwen3_5",
      "conversational",
      "qwen",
      "uncensored",
      "unfiltered",
      "vllm",
      "multimodal",
      "ablation",
      "qwen35"
    ],
    "frontmatter": {
      "base_model": "nDimensional/Qwen3.5-9B-Uncensored-Safetensors",
      "language": [
        "en",
        "zh"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "qwen3_5",
        "conversational",
        "qwen",
        "uncensored",
        "unfiltered",
        "vllm",
        "multimodal",
        "ablation",
        "qwen35"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/nDimensional/Qwen3.5-9B-Uncensored-Safetensors  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: nDimensional/Qwen3.5-9B-Uncensored-Safetensors\nlanguage:\n- en\n- zh\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- qwen3_5\n- conversational\n- qwen\n- uncensored\n- unfiltered\n- vllm\n- multimodal\n- ablation\n- qwen35\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\n<!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nstatic quants of https://huggingface.co/nDimensional/Qwen3.5-9B-Uncensored-Safetensors\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3.5-9B-Uncensored-Safetensors-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-i1-GGUF\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF/resolve/main/Qwen3.5-9B-Uncensored-Safetensors.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.7 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF/resolve/main/Qwen3.5-9B-Uncensored-Safetensors.mmproj-f16.gguf) | mmproj-f16 | 1.0 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF/resolve/main/Qwen3.5-9B-Uncensored-Safetensors.Q2_K.gguf) | Q2_K | 3.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF/resolve/main/Qwen3.5-9B-Uncensored-Safetensors.Q3_K_S.gguf) | Q3_K_S | 4.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF/resolve/main/Qwen3.5-9B-Uncensored-Safetensors.Q3_K_M.gguf) | Q3_K_M | 4.7 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF/resolve/main/Qwen3.5-9B-Uncensored-Safetensors.Q3_K_L.gguf) | Q3_K_L | 5.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF/resolve/main/Qwen3.5-9B-Uncensored-Safetensors.IQ4_XS.gguf) | IQ4_XS | 5.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF/resolve/main/Qwen3.5-9B-Uncensored-Safetensors.Q4_K_S.gguf) | Q4_K_S | 5.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF/resolve/main/Qwen3.5-9B-Uncensored-Safetensors.Q4_K_M.gguf) | Q4_K_M | 5.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF/resolve/main/Qwen3.5-9B-Uncensored-Safetensors.Q5_K_S.gguf) | Q5_K_S | 6.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF/resolve/main/Qwen3.5-9B-Uncensored-Safetensors.Q5_K_M.gguf) | Q5_K_M | 6.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF/resolve/main/Qwen3.5-9B-Uncensored-Safetensors.Q6_K.gguf) | Q6_K | 7.5 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF/resolve/main/Qwen3.5-9B-Uncensored-Safetensors.Q8_0.gguf) | Q8_0 | 9.6 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF/resolve/main/Qwen3.5-9B-Uncensored-Safetensors.f16.gguf) | f16 | 18.0 | 16 bpw, overkill |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "qwen3_5",
    "conversational",
    "qwen",
    "uncensored",
    "unfiltered",
    "vllm",
    "multimodal",
    "ablation",
    "qwen35",
    "en",
    "zh",
    "base_model:nDimensional/Qwen3.5-9B-Uncensored-Safetensors",
    "base_model:quantized:nDimensional/Qwen3.5-9B-Uncensored-Safetensors",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 2,
  "downloads": 1352,
  "gated": false,
  "private": false,
  "last_modified": "2026-03-31T07:24:43.000Z",
  "created_at": "2026-03-31T05:00:09.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "69cb54d9fe2447829572cffe",
  "id": "mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF",
  "modelId": "mradermacher/Qwen3.5-9B-Uncensored-Safetensors-GGUF",
  "sha": "e4335bdc2a3986046803a1bd5d3e9334855580cf",
  "createdAt": "2026-03-31T05:00:09.000Z",
  "lastModified": "2026-03-31T07:24:43.000Z",
  "author": "mradermacher",
  "downloads": 1352,
  "likes": 2,
  "gated": false,
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  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 16
}