mradermacher/35b-beta-long-i1-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "CausalLM/35b-beta-long",
    "datasets": [
      "JosephusCheung/GuanacoDataset",
      "meta-math/MetaMathQA",
      "jondurbin/airoboros-3.1",
      "WizardLM/WizardLM_evol_instruct_V2_196k",
      "RyokoAI/ShareGPT52K",
      "RyokoAI/Fandom23K",
      "milashkaarshif/MoeGirlPedia_wikitext_raw_archive",
      "wikipedia",
      "wiki_lingua",
      "garage-bAInd/Open-Platypus",
      "LDJnr/Puffin",
      "BAAI/COIG",
      "TigerResearch/tigerbot-zhihu-zh-10k",
      "liwu/MNBVC",
      "teknium/openhermes",
      "CausalLM/Refined-Anime-Text",
      "microsoft/orca-math-word-problems-200k",
      "m-a-p/CodeFeedback-Filtered-Instruction"
    ],
    "language": [
      "en",
      "zh",
      "ja",
      "de"
    ],
    "library_name": "transformers",
    "license": "wtfpl",
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "CausalLM/35b-beta-long",
      "datasets": [
        "JosephusCheung/GuanacoDataset",
        "meta-math/MetaMathQA",
        "jondurbin/airoboros-3.1",
        "WizardLM/WizardLM_evol_instruct_V2_196k",
        "RyokoAI/ShareGPT52K",
        "RyokoAI/Fandom23K",
        "milashkaarshif/MoeGirlPedia_wikitext_raw_archive",
        "wikipedia",
        "wiki_lingua",
        "garage-bAInd/Open-Platypus",
        "LDJnr/Puffin",
        "BAAI/COIG",
        "TigerResearch/tigerbot-zhihu-zh-10k",
        "liwu/MNBVC",
        "teknium/openhermes",
        "CausalLM/Refined-Anime-Text",
        "microsoft/orca-math-word-problems-200k",
        "m-a-p/CodeFeedback-Filtered-Instruction"
      ],
      "language": [
        "en",
        "zh",
        "ja",
        "de"
      ],
      "library_name": "transformers",
      "license": "wtfpl",
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/CausalLM/35b-beta-long  static quants are available at https://huggingface.co/mradermacher/35b-beta-long-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: CausalLM/35b-beta-long\ndatasets:\n- JosephusCheung/GuanacoDataset\n- meta-math/MetaMathQA\n- jondurbin/airoboros-3.1\n- WizardLM/WizardLM_evol_instruct_V2_196k\n- RyokoAI/ShareGPT52K\n- RyokoAI/Fandom23K\n- milashkaarshif/MoeGirlPedia_wikitext_raw_archive\n- wikipedia\n- wiki_lingua\n- garage-bAInd/Open-Platypus\n- LDJnr/Puffin\n- BAAI/COIG\n- TigerResearch/tigerbot-zhihu-zh-10k\n- liwu/MNBVC\n- teknium/openhermes\n- CausalLM/Refined-Anime-Text\n- microsoft/orca-math-word-problems-200k\n- m-a-p/CodeFeedback-Filtered-Instruction\nlanguage:\n- en\n- zh\n- ja\n- de\nlibrary_name: transformers\nlicense: wtfpl\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/CausalLM/35b-beta-long\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/35b-beta-long-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/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-IQ1_S.gguf) | i1-IQ1_S | 8.6 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-IQ1_M.gguf) | i1-IQ1_M | 9.2 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 10.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-IQ2_XS.gguf) | i1-IQ2_XS | 11.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-IQ2_S.gguf) | i1-IQ2_S | 11.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-IQ2_M.gguf) | i1-IQ2_M | 12.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-Q2_K.gguf) | i1-Q2_K | 13.9 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 13.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-IQ3_XS.gguf) | i1-IQ3_XS | 15.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-IQ3_S.gguf) | i1-IQ3_S | 16.0 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-Q3_K_S.gguf) | i1-Q3_K_S | 16.0 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-IQ3_M.gguf) | i1-IQ3_M | 16.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-Q3_K_M.gguf) | i1-Q3_K_M | 17.7 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-Q3_K_L.gguf) | i1-Q3_K_L | 19.2 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-IQ4_XS.gguf) | i1-IQ4_XS | 19.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-Q4_0.gguf) | i1-Q4_0 | 20.4 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-Q4_K_S.gguf) | i1-Q4_K_S | 20.5 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-Q4_K_M.gguf) | i1-Q4_K_M | 21.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-Q5_K_S.gguf) | i1-Q5_K_S | 24.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-Q5_K_M.gguf) | i1-Q5_K_M | 25.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/35b-beta-long-i1-GGUF/resolve/main/35b-beta-long.i1-Q6_K.gguf) | i1-Q6_K | 28.8 | 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",
    "zh",
    "ja",
    "de",
    "dataset:JosephusCheung/GuanacoDataset",
    "dataset:meta-math/MetaMathQA",
    "dataset:jondurbin/airoboros-3.1",
    "dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
    "dataset:RyokoAI/ShareGPT52K",
    "dataset:RyokoAI/Fandom23K",
    "dataset:milashkaarshif/MoeGirlPedia_wikitext_raw_archive",
    "dataset:wikipedia",
    "dataset:wiki_lingua",
    "dataset:garage-bAInd/Open-Platypus",
    "dataset:LDJnr/Puffin",
    "dataset:BAAI/COIG",
    "dataset:TigerResearch/tigerbot-zhihu-zh-10k",
    "dataset:liwu/MNBVC",
    "dataset:teknium/openhermes",
    "dataset:CausalLM/Refined-Anime-Text",
    "dataset:microsoft/orca-math-word-problems-200k",
    "dataset:m-a-p/CodeFeedback-Filtered-Instruction",
    "base_model:CausalLM/35b-beta-long",
    "base_model:quantized:CausalLM/35b-beta-long",
    "license:wtfpl",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 1,
  "downloads": 353,
  "gated": false,
  "private": false,
  "last_modified": "2024-11-13T01:45:09.000Z",
  "created_at": "2024-11-12T20:17:14.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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  "author": "mradermacher",
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