mradermacher/auroragpt-it-v4-0125-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "argonne-private/AuroraGPT-IT-v4-0125",
    "datasets": [
      "open-phi/textbooks",
      "open-phi/programming_books_llama",
      "openchat/openchat_sharegpt4_dataset",
      "nvidia/ChatQA-Training-Data",
      "jeffmeloy/sonnet3.5_science_conversations",
      "HuggingFaceH4/ultrachat_200k",
      "microsoft/orca-math-word-problems-200k",
      "m-a-p/CodeFeedback-Filtered-Instruction",
      "teknium/OpenHermes-2.5",
      "openbmb/UltraInteract_sft"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "quantized_by": "mradermacher",
    "tags": [],
    "frontmatter": {
      "base_model": "argonne-private/AuroraGPT-IT-v4-0125",
      "datasets": [
        "open-phi/textbooks",
        "open-phi/programming_books_llama",
        "openchat/openchat_sharegpt4_dataset",
        "nvidia/ChatQA-Training-Data",
        "jeffmeloy/sonnet3.5_science_conversations",
        "HuggingFaceH4/ultrachat_200k",
        "microsoft/orca-math-word-problems-200k",
        "m-a-p/CodeFeedback-Filtered-Instruction",
        "teknium/OpenHermes-2.5",
        "openbmb/UltraInteract_sft"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "quantized_by": "mradermacher",
      "tags": "[]"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/argonne-private/AuroraGPT-IT-v4-0125  weighted/imatrix quants are available at https://huggingface.co/mradermacher/AuroraGPT-IT-v4-0125-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: argonne-private/AuroraGPT-IT-v4-0125\ndatasets:\n- open-phi/textbooks\n- open-phi/programming_books_llama\n- openchat/openchat_sharegpt4_dataset\n- nvidia/ChatQA-Training-Data\n- jeffmeloy/sonnet3.5_science_conversations\n- HuggingFaceH4/ultrachat_200k\n- microsoft/orca-math-word-problems-200k\n- m-a-p/CodeFeedback-Filtered-Instruction\n- teknium/OpenHermes-2.5\n- openbmb/UltraInteract_sft\nlanguage:\n- en\nlibrary_name: transformers\nquantized_by: mradermacher\ntags: []\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\nstatic quants of https://huggingface.co/argonne-private/AuroraGPT-IT-v4-0125\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/AuroraGPT-IT-v4-0125-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/AuroraGPT-IT-v4-0125-GGUF/resolve/main/AuroraGPT-IT-v4-0125.Q2_K.gguf) | Q2_K | 2.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/AuroraGPT-IT-v4-0125-GGUF/resolve/main/AuroraGPT-IT-v4-0125.Q3_K_S.gguf) | Q3_K_S | 2.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/AuroraGPT-IT-v4-0125-GGUF/resolve/main/AuroraGPT-IT-v4-0125.Q3_K_M.gguf) | Q3_K_M | 3.0 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/AuroraGPT-IT-v4-0125-GGUF/resolve/main/AuroraGPT-IT-v4-0125.Q3_K_L.gguf) | Q3_K_L | 3.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/AuroraGPT-IT-v4-0125-GGUF/resolve/main/AuroraGPT-IT-v4-0125.IQ4_XS.gguf) | IQ4_XS | 3.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/AuroraGPT-IT-v4-0125-GGUF/resolve/main/AuroraGPT-IT-v4-0125.Q4_K_S.gguf) | Q4_K_S | 3.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/AuroraGPT-IT-v4-0125-GGUF/resolve/main/AuroraGPT-IT-v4-0125.Q4_K_M.gguf) | Q4_K_M | 3.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/AuroraGPT-IT-v4-0125-GGUF/resolve/main/AuroraGPT-IT-v4-0125.Q5_K_S.gguf) | Q5_K_S | 4.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/AuroraGPT-IT-v4-0125-GGUF/resolve/main/AuroraGPT-IT-v4-0125.Q5_K_M.gguf) | Q5_K_M | 4.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/AuroraGPT-IT-v4-0125-GGUF/resolve/main/AuroraGPT-IT-v4-0125.Q6_K.gguf) | Q6_K | 5.0 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/AuroraGPT-IT-v4-0125-GGUF/resolve/main/AuroraGPT-IT-v4-0125.Q8_0.gguf) | Q8_0 | 6.4 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/AuroraGPT-IT-v4-0125-GGUF/resolve/main/AuroraGPT-IT-v4-0125.f16.gguf) | f16 | 12.0 | 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. 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",
    "dataset:open-phi/textbooks",
    "dataset:open-phi/programming_books_llama",
    "dataset:openchat/openchat_sharegpt4_dataset",
    "dataset:nvidia/ChatQA-Training-Data",
    "dataset:jeffmeloy/sonnet3.5_science_conversations",
    "dataset:HuggingFaceH4/ultrachat_200k",
    "dataset:microsoft/orca-math-word-problems-200k",
    "dataset:m-a-p/CodeFeedback-Filtered-Instruction",
    "dataset:teknium/OpenHermes-2.5",
    "dataset:openbmb/UltraInteract_sft",
    "base_model:argonne-private/AuroraGPT-IT-v4-0125",
    "base_model:quantized:argonne-private/AuroraGPT-IT-v4-0125",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 249,
  "gated": false,
  "private": false,
  "last_modified": "2025-02-06T09:58:04.000Z",
  "created_at": "2025-01-30T07:40:57.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

{
  "_id": "679b2d09acf7c1814a2ef6b2",
  "id": "mradermacher/AuroraGPT-IT-v4-0125-GGUF",
  "modelId": "mradermacher/AuroraGPT-IT-v4-0125-GGUF",
  "sha": "f30a66e946a8a316c8e13c22d259424146b55ac8",
  "createdAt": "2025-01-30T07:40:57.000Z",
  "lastModified": "2025-02-06T09:58:04.000Z",
  "author": "mradermacher",
  "downloads": 249,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 14
}