mradermacher/mistral-llama-fusion-gguf overview

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  "card_data": {
    "base_model": "MatteoKhan/Mistral-LLaMA-Fusion",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "mit",
    "mradermacher": {
      "readme_rev": 1
    },
    "no_imatrix": "ggml-quants.c:4453: GGML_ASSERT(besti1 >= 0 && besti2 >= 0 && best_k >= 0) failed",
    "quantized_by": "mradermacher",
    "tags": [
      "mergekit",
      "merged-model",
      "mistral",
      "llama2",
      "language-model"
    ],
    "frontmatter": {
      "base_model": "MatteoKhan/Mistral-LLaMA-Fusion",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "mit",
      "mradermacher": [],
      "no_imatrix": "'ggml-quants.c:4453: GGML_ASSERT(besti1 >= 0 && besti2 >= 0 && best_k",
      "quantized_by": "mradermacher",
      "tags": [
        "mergekit",
        "merged-model",
        "mistral",
        "llama2",
        "language-model"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/MatteoKhan/Mistral-LLaMA-Fusion  ***For a convenient overview and download list, visit our model page for this model.***",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: MatteoKhan/Mistral-LLaMA-Fusion\nlanguage:\n- en\nlibrary_name: transformers\nlicense: mit\nmradermacher:\n  readme_rev: 1\nno_imatrix: 'ggml-quants.c:4453: GGML_ASSERT(besti1 >= 0 && besti2 >= 0 && best_k\n  >= 0) failed'\nquantized_by: mradermacher\ntags:\n- mergekit\n- merged-model\n- mistral\n- llama2\n- language-model\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\nstatic quants of https://huggingface.co/MatteoKhan/Mistral-LLaMA-Fusion\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#Mistral-LLaMA-Fusion-GGUF).***\n\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/Mistral-LLaMA-Fusion-GGUF/resolve/main/Mistral-LLaMA-Fusion.Q2_K.gguf) | Q2_K | 2.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Mistral-LLaMA-Fusion-GGUF/resolve/main/Mistral-LLaMA-Fusion.Q3_K_S.gguf) | Q3_K_S | 3.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Mistral-LLaMA-Fusion-GGUF/resolve/main/Mistral-LLaMA-Fusion.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Mistral-LLaMA-Fusion-GGUF/resolve/main/Mistral-LLaMA-Fusion.Q3_K_L.gguf) | Q3_K_L | 3.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Mistral-LLaMA-Fusion-GGUF/resolve/main/Mistral-LLaMA-Fusion.IQ4_XS.gguf) | IQ4_XS | 4.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Mistral-LLaMA-Fusion-GGUF/resolve/main/Mistral-LLaMA-Fusion.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Mistral-LLaMA-Fusion-GGUF/resolve/main/Mistral-LLaMA-Fusion.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Mistral-LLaMA-Fusion-GGUF/resolve/main/Mistral-LLaMA-Fusion.Q5_K_S.gguf) | Q5_K_S | 5.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Mistral-LLaMA-Fusion-GGUF/resolve/main/Mistral-LLaMA-Fusion.Q5_K_M.gguf) | Q5_K_M | 5.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Mistral-LLaMA-Fusion-GGUF/resolve/main/Mistral-LLaMA-Fusion.Q6_K.gguf) | Q6_K | 6.0 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Mistral-LLaMA-Fusion-GGUF/resolve/main/Mistral-LLaMA-Fusion.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Mistral-LLaMA-Fusion-GGUF/resolve/main/Mistral-LLaMA-Fusion.f16.gguf) | f16 | 14.6 | 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",
    "mergekit",
    "merged-model",
    "mistral",
    "llama2",
    "language-model",
    "en",
    "base_model:MatteoKhan/Mistral-LLaMA-Fusion",
    "base_model:quantized:MatteoKhan/Mistral-LLaMA-Fusion",
    "license:mit",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
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  "gated": false,
  "private": false,
  "last_modified": "2025-07-11T06:02:58.000Z",
  "created_at": "2025-04-11T06:50:15.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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