mradermacher/qwen3-short-story-instruct-uncensored-262k-ctx-4b-gguf overview

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  "card_data": {
    "base_model": "DavidAU/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "programming",
      "code generation",
      "code",
      "coding",
      "coder",
      "chat",
      "code",
      "chat",
      "qwen",
      "qwen3",
      "qwencoder",
      "creative",
      "all uses cases",
      "horror",
      "finetune",
      "unsloth",
      "story",
      "short stories",
      "story telling"
    ],
    "frontmatter": {
      "base_model": "DavidAU/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "programming",
        "code generation",
        "code",
        "coding",
        "coder",
        "chat",
        "code",
        "chat",
        "qwen",
        "qwen3",
        "qwencoder",
        "creative",
        "all uses cases",
        "horror",
        "finetune",
        "unsloth",
        "story",
        "short stories",
        "story telling"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/DavidAU/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B  ***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-Short-Story-Instruct-Uncensored-262K-ctx-4B-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: DavidAU/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- programming\n- code generation\n- code\n- coding\n- coder\n- chat\n- code\n- chat\n- qwen\n- qwen3\n- qwencoder\n- creative\n- all uses cases\n- horror\n- finetune\n- unsloth\n- story\n- short stories\n- story telling\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/DavidAU/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B\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-Short-Story-Instruct-Uncensored-262K-ctx-4B-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B-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-Short-Story-Instruct-Uncensored-262K-ctx-4B-GGUF/resolve/main/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B.Q2_K.gguf) | Q2_K | 1.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B-GGUF/resolve/main/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B.Q3_K_S.gguf) | Q3_K_S | 2.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B-GGUF/resolve/main/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B.Q3_K_M.gguf) | Q3_K_M | 2.3 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B-GGUF/resolve/main/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B.Q3_K_L.gguf) | Q3_K_L | 2.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B-GGUF/resolve/main/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B.IQ4_XS.gguf) | IQ4_XS | 2.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B-GGUF/resolve/main/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B.Q4_K_S.gguf) | Q4_K_S | 2.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B-GGUF/resolve/main/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B.Q4_K_M.gguf) | Q4_K_M | 2.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B-GGUF/resolve/main/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B.Q5_K_S.gguf) | Q5_K_S | 3.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B-GGUF/resolve/main/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B.Q5_K_M.gguf) | Q5_K_M | 3.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B-GGUF/resolve/main/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B.Q6_K.gguf) | Q6_K | 3.7 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B-GGUF/resolve/main/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B.Q8_0.gguf) | Q8_0 | 4.8 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B-GGUF/resolve/main/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B.f16.gguf) | f16 | 8.9 | 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",
    "programming",
    "code generation",
    "code",
    "coding",
    "coder",
    "chat",
    "qwen",
    "qwen3",
    "qwencoder",
    "creative",
    "all uses cases",
    "horror",
    "finetune",
    "unsloth",
    "story",
    "short stories",
    "story telling",
    "en",
    "base_model:DavidAU/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B",
    "base_model:quantized:DavidAU/Qwen3-Short-Story-Instruct-Uncensored-262K-ctx-4B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 121,
  "gated": false,
  "private": false,
  "last_modified": "2025-09-11T18:35:41.000Z",
  "created_at": "2025-09-08T00:42:57.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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