mradermacher/calme-2.2-phi3-4b-gguf overview

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    "base_model": "MaziyarPanahi/calme-2.2-phi3-4b",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "mit",
    "model_creator": "MaziyarPanahi",
    "quantized_by": "mradermacher",
    "tags": [
      "axolotl",
      "finetune",
      "dpo",
      "microsoft",
      "phi",
      "pytorch",
      "phi-3",
      "nlp",
      "code",
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    ],
    "frontmatter": {
      "base_model": "MaziyarPanahi/calme-2.2-phi3-4b",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "mit",
      "model_creator": "MaziyarPanahi",
      "quantized_by": "mradermacher",
      "tags": [
        "axolotl",
        "finetune",
        "dpo",
        "microsoft",
        "phi",
        "pytorch",
        "phi-3",
        "nlp",
        "code",
        "chatml"
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    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/MaziyarPanahi/calme-2.2-phi3-4b  weighted/imatrix quants are available at https://huggingface.co/mradermacher/calme-2.2-phi3-4b-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: MaziyarPanahi/calme-2.2-phi3-4b\nlanguage:\n- en\nlibrary_name: transformers\nlicense: mit\nmodel_creator: MaziyarPanahi\nquantized_by: mradermacher\ntags:\n- axolotl\n- finetune\n- dpo\n- microsoft\n- phi\n- pytorch\n- phi-3\n- nlp\n- code\n- chatml\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/MaziyarPanahi/calme-2.2-phi3-4b\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/calme-2.2-phi3-4b-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/calme-2.2-phi3-4b-GGUF/resolve/main/calme-2.2-phi3-4b.Q2_K.gguf) | Q2_K | 1.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/calme-2.2-phi3-4b-GGUF/resolve/main/calme-2.2-phi3-4b.Q3_K_S.gguf) | Q3_K_S | 1.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/calme-2.2-phi3-4b-GGUF/resolve/main/calme-2.2-phi3-4b.Q3_K_M.gguf) | Q3_K_M | 2.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/calme-2.2-phi3-4b-GGUF/resolve/main/calme-2.2-phi3-4b.IQ4_XS.gguf) | IQ4_XS | 2.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/calme-2.2-phi3-4b-GGUF/resolve/main/calme-2.2-phi3-4b.Q3_K_L.gguf) | Q3_K_L | 2.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/calme-2.2-phi3-4b-GGUF/resolve/main/calme-2.2-phi3-4b.Q4_K_S.gguf) | Q4_K_S | 2.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/calme-2.2-phi3-4b-GGUF/resolve/main/calme-2.2-phi3-4b.Q4_K_M.gguf) | Q4_K_M | 2.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/calme-2.2-phi3-4b-GGUF/resolve/main/calme-2.2-phi3-4b.Q5_K_S.gguf) | Q5_K_S | 2.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/calme-2.2-phi3-4b-GGUF/resolve/main/calme-2.2-phi3-4b.Q5_K_M.gguf) | Q5_K_M | 2.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/calme-2.2-phi3-4b-GGUF/resolve/main/calme-2.2-phi3-4b.Q6_K.gguf) | Q6_K | 3.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/calme-2.2-phi3-4b-GGUF/resolve/main/calme-2.2-phi3-4b.Q8_0.gguf) | Q8_0 | 4.2 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/calme-2.2-phi3-4b-GGUF/resolve/main/calme-2.2-phi3-4b.f16.gguf) | f16 | 7.7 | 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",
    "axolotl",
    "finetune",
    "dpo",
    "microsoft",
    "phi",
    "pytorch",
    "phi-3",
    "nlp",
    "code",
    "chatml",
    "en",
    "base_model:MaziyarPanahi/calme-2.2-phi3-4b",
    "base_model:quantized:MaziyarPanahi/calme-2.2-phi3-4b",
    "license:mit",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
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  "last_modified": "2024-10-21T18:29:10.000Z",
  "created_at": "2024-10-21T12:10:07.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
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