mradermacher/ninjamouse-2.4b-32l-danube-i1-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "trollek/NinjaMouse-2.4B-32L-danube",
    "datasets": [
      "m-a-p/Code-Feedback",
      "HuggingFaceTB/cosmopedia-100k",
      "LDJnr/Capybara",
      "vicgalle/alpaca-gpt4",
      "glaiveai/glaive-code-assistant-v2",
      "WhiteRabbitNeo/WRN-Chapter-1",
      "WhiteRabbitNeo/WRN-Chapter-2",
      "m-a-p/CodeFeedback-Filtered-Instruction",
      "jondurbin/airoboros-3.2",
      "euclaise/WritingPrompts_curated",
      "derek-thomas/squad-v1.1-t5-question-generation",
      "reinforz/question_generation_data",
      "teknium/GPTeacher-General-Instruct",
      "dim/roleplay_instruct_v2_final",
      "TIGER-Lab/MathInstruct",
      "abacusai/SystemChat",
      "Mihaiii/OpenHermes-2.5-1k-longest-curated"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "license_link": "LICENSE",
    "license_name": "a",
    "quantized_by": "mradermacher",
    "tags": [
      "code"
    ],
    "frontmatter": {
      "base_model": "trollek/NinjaMouse-2.4B-32L-danube",
      "datasets": [
        "m-a-p/Code-Feedback",
        "HuggingFaceTB/cosmopedia-100k",
        "LDJnr/Capybara",
        "vicgalle/alpaca-gpt4",
        "glaiveai/glaive-code-assistant-v2",
        "WhiteRabbitNeo/WRN-Chapter-1",
        "WhiteRabbitNeo/WRN-Chapter-2",
        "m-a-p/CodeFeedback-Filtered-Instruction",
        "jondurbin/airoboros-3.2",
        "euclaise/WritingPrompts_curated",
        "derek-thomas/squad-v1.1-t5-question-generation",
        "reinforz/question_generation_data",
        "teknium/GPTeacher-General-Instruct",
        "dim/roleplay_instruct_v2_final",
        "TIGER-Lab/MathInstruct",
        "abacusai/SystemChat",
        "Mihaiii/OpenHermes-2.5-1k-longest-curated"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "license_link": "LICENSE",
      "license_name": "a",
      "quantized_by": "mradermacher",
      "tags": [
        "code"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/trollek/NinjaMouse-2.4B-32L-danube  static quants are available at https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: trollek/NinjaMouse-2.4B-32L-danube\ndatasets:\n- m-a-p/Code-Feedback\n- HuggingFaceTB/cosmopedia-100k\n- LDJnr/Capybara\n- vicgalle/alpaca-gpt4\n- glaiveai/glaive-code-assistant-v2\n- WhiteRabbitNeo/WRN-Chapter-1\n- WhiteRabbitNeo/WRN-Chapter-2\n- m-a-p/CodeFeedback-Filtered-Instruction\n- jondurbin/airoboros-3.2\n- euclaise/WritingPrompts_curated\n- derek-thomas/squad-v1.1-t5-question-generation\n- reinforz/question_generation_data\n- teknium/GPTeacher-General-Instruct\n- dim/roleplay_instruct_v2_final\n- TIGER-Lab/MathInstruct\n- abacusai/SystemChat\n- Mihaiii/OpenHermes-2.5-1k-longest-curated\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nlicense_link: LICENSE\nlicense_name: a\nquantized_by: mradermacher\ntags:\n- code\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/trollek/NinjaMouse-2.4B-32L-danube\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-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/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-IQ1_S.gguf) | i1-IQ1_S | 0.7 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-IQ1_M.gguf) | i1-IQ1_M | 0.7 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-IQ2_S.gguf) | i1-IQ2_S | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-IQ2_M.gguf) | i1-IQ2_M | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-Q2_K_S.gguf) | i1-Q2_K_S | 1.0 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-Q2_K.gguf) | i1-Q2_K | 1.0 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 1.0 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-IQ3_XS.gguf) | i1-IQ3_XS | 1.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-Q3_K_S.gguf) | i1-Q3_K_S | 1.2 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-IQ3_S.gguf) | i1-IQ3_S | 1.2 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-IQ3_M.gguf) | i1-IQ3_M | 1.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-Q3_K_M.gguf) | i1-Q3_K_M | 1.3 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.4 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-Q4_0.gguf) | i1-Q4_0 | 1.5 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.5 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.5 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-Q4_1.gguf) | i1-Q4_1 | 1.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/NinjaMouse-2.4B-32L-danube-i1-GGUF/resolve/main/NinjaMouse-2.4B-32L-danube.i1-Q6_K.gguf) | i1-Q6_K | 2.1 | 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",
    "code",
    "en",
    "dataset:m-a-p/Code-Feedback",
    "dataset:HuggingFaceTB/cosmopedia-100k",
    "dataset:LDJnr/Capybara",
    "dataset:vicgalle/alpaca-gpt4",
    "dataset:glaiveai/glaive-code-assistant-v2",
    "dataset:WhiteRabbitNeo/WRN-Chapter-1",
    "dataset:WhiteRabbitNeo/WRN-Chapter-2",
    "dataset:m-a-p/CodeFeedback-Filtered-Instruction",
    "dataset:jondurbin/airoboros-3.2",
    "dataset:euclaise/WritingPrompts_curated",
    "dataset:derek-thomas/squad-v1.1-t5-question-generation",
    "dataset:reinforz/question_generation_data",
    "dataset:teknium/GPTeacher-General-Instruct",
    "dataset:dim/roleplay_instruct_v2_final",
    "dataset:TIGER-Lab/MathInstruct",
    "dataset:abacusai/SystemChat",
    "dataset:Mihaiii/OpenHermes-2.5-1k-longest-curated",
    "base_model:trollek/NinjaMouse-2.4B-32L-danube",
    "base_model:quantized:trollek/NinjaMouse-2.4B-32L-danube",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 0,
  "downloads": 211,
  "gated": false,
  "private": false,
  "last_modified": "2024-12-24T11:18:15.000Z",
  "created_at": "2024-12-24T11:02:34.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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