mradermacher/orca-2-13b-sft-v6-i1-gguf overview

{
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  "card_data": {
    "base_model": "Locutusque/Orca-2-13b-SFT-v6",
    "datasets": [
      "HuggingFaceH4/no_robots",
      "mlabonne/guanaco-llama2-1k",
      "OpenAssistant/oasst_top1_2023-08-25",
      "totally-not-an-llm/EverythingLM-data-V3",
      "LDJnr/Pure-Dove",
      "LDJnr/Capybara",
      "LDJnr/LessWrong-Amplify-Instruct",
      "LDJnr/Verified-Camel"
    ],
    "language": [
      "en",
      "fr",
      "es",
      "hi",
      "zh",
      "code"
    ],
    "library_name": "transformers",
    "license": "other",
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "Locutusque/Orca-2-13b-SFT-v6",
      "datasets": [
        "HuggingFaceH4/no_robots",
        "mlabonne/guanaco-llama2-1k",
        "OpenAssistant/oasst_top1_2023-08-25",
        "totally-not-an-llm/EverythingLM-data-V3",
        "LDJnr/Pure-Dove",
        "LDJnr/Capybara",
        "LDJnr/LessWrong-Amplify-Instruct",
        "LDJnr/Verified-Camel"
      ],
      "language": [
        "en",
        "fr",
        "es",
        "hi",
        "zh",
        "code"
      ],
      "library_name": "transformers",
      "license": "other",
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/Locutusque/Orca-2-13b-SFT-v6  static quants are available at https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Locutusque/Orca-2-13b-SFT-v6\ndatasets:\n- HuggingFaceH4/no_robots\n- mlabonne/guanaco-llama2-1k\n- OpenAssistant/oasst_top1_2023-08-25\n- totally-not-an-llm/EverythingLM-data-V3\n- LDJnr/Pure-Dove\n- LDJnr/Capybara\n- LDJnr/LessWrong-Amplify-Instruct\n- LDJnr/Verified-Camel\nlanguage:\n- en\n- fr\n- es\n- hi\n- zh\n- code\nlibrary_name: transformers\nlicense: other\nquantized_by: mradermacher\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/Locutusque/Orca-2-13b-SFT-v6\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-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/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-IQ1_S.gguf) | i1-IQ1_S | 3.0 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-IQ1_M.gguf) | i1-IQ1_M | 3.2 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-IQ2_S.gguf) | i1-IQ2_S | 4.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-IQ2_M.gguf) | i1-IQ2_M | 4.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-Q2_K.gguf) | i1-Q2_K | 5.0 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-IQ3_S.gguf) | i1-IQ3_S | 5.8 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.8 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-IQ3_M.gguf) | i1-IQ3_M | 6.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.4 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-Q3_K_L.gguf) | i1-Q3_K_L | 7.0 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-IQ4_XS.gguf) | i1-IQ4_XS | 7.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 7.5 | fast on arm, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 7.5 | fast on arm+i8mm, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 7.5 | fast on arm+sve, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-Q4_0.gguf) | i1-Q4_0 | 7.5 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.5 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-Q4_K_M.gguf) | i1-Q4_K_M | 8.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-Q5_K_S.gguf) | i1-Q5_K_S | 9.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-Q5_K_M.gguf) | i1-Q5_K_M | 9.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Orca-2-13b-SFT-v6-i1-GGUF/resolve/main/Orca-2-13b-SFT-v6.i1-Q6_K.gguf) | i1-Q6_K | 10.8 | practically like static Q6_K |\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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "en",
    "fr",
    "es",
    "hi",
    "zh",
    "code",
    "dataset:HuggingFaceH4/no_robots",
    "dataset:mlabonne/guanaco-llama2-1k",
    "dataset:OpenAssistant/oasst_top1_2023-08-25",
    "dataset:totally-not-an-llm/EverythingLM-data-V3",
    "dataset:LDJnr/Pure-Dove",
    "dataset:LDJnr/Capybara",
    "dataset:LDJnr/LessWrong-Amplify-Instruct",
    "dataset:LDJnr/Verified-Camel",
    "base_model:Locutusque/Orca-2-13b-SFT-v6",
    "base_model:quantized:Locutusque/Orca-2-13b-SFT-v6",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ],
  "likes": 2,
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  "last_modified": "2024-11-30T00:06:13.000Z",
  "created_at": "2024-11-29T19:14:36.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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