mradermacher/bioinspired-base-hermes-3-llama-3.1-8b-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "lamm-mit/Bioinspired-Base-Hermes-3-Llama-3.1-8B",
    "datasets": [
      "mlabonne/orpo-dpo-mix-40k",
      "lamm-mit/magpie-ultra-v0.1-DPO",
      "HuggingFaceH4/deita-10k-v0-sft",
      "lamm-mit/bio-silk-mech-data-integrated"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "quantized_by": "mradermacher",
    "tags": [
      "nlp",
      "code",
      "vision",
      "chemistry",
      "engineering",
      "biology",
      "bio-inspired",
      "text-generation-inference",
      "materials science",
      "AI4Science",
      "Materiomics",
      "Biomateriomics"
    ],
    "frontmatter": {
      "base_model": "lamm-mit/Bioinspired-Base-Hermes-3-Llama-3.1-8B",
      "datasets": [
        "mlabonne/orpo-dpo-mix-40k",
        "lamm-mit/magpie-ultra-v0.1-DPO",
        "HuggingFaceH4/deita-10k-v0-sft",
        "lamm-mit/bio-silk-mech-data-integrated"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "quantized_by": "mradermacher",
      "tags": [
        "nlp",
        "code",
        "vision",
        "chemistry",
        "engineering",
        "biology",
        "bio-inspired",
        "text-generation-inference",
        "materials science",
        "AI4Science",
        "Materiomics",
        "Biomateriomics"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/lamm-mit/Bioinspired-Base-Hermes-3-Llama-3.1-8B  weighted/imatrix quants are available at https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: lamm-mit/Bioinspired-Base-Hermes-3-Llama-3.1-8B\ndatasets:\n- mlabonne/orpo-dpo-mix-40k\n- lamm-mit/magpie-ultra-v0.1-DPO\n- HuggingFaceH4/deita-10k-v0-sft\n- lamm-mit/bio-silk-mech-data-integrated\nlanguage:\n- en\nlibrary_name: transformers\nquantized_by: mradermacher\ntags:\n- nlp\n- code\n- vision\n- chemistry\n- engineering\n- biology\n- bio-inspired\n- text-generation-inference\n- materials science\n- AI4Science\n- Materiomics\n- Biomateriomics\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/lamm-mit/Bioinspired-Base-Hermes-3-Llama-3.1-8B\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-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/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.Q2_K.gguf) | Q2_K | 3.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.IQ3_XS.gguf) | IQ3_XS | 3.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.Q3_K_S.gguf) | Q3_K_S | 3.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.IQ3_S.gguf) | IQ3_S | 3.8 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.IQ3_M.gguf) | IQ3_M | 3.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.Q3_K_L.gguf) | Q3_K_L | 4.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.IQ4_XS.gguf) | IQ4_XS | 4.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.Q5_K_S.gguf) | Q5_K_S | 5.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.Q5_K_M.gguf) | Q5_K_M | 5.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.Q6_K.gguf) | Q6_K | 6.7 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Bioinspired-Base-Hermes-3-Llama-3.1-8B.f16.gguf) | f16 | 16.2 | 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",
    "nlp",
    "code",
    "vision",
    "chemistry",
    "engineering",
    "biology",
    "bio-inspired",
    "text-generation-inference",
    "materials science",
    "AI4Science",
    "Materiomics",
    "Biomateriomics",
    "en",
    "dataset:mlabonne/orpo-dpo-mix-40k",
    "dataset:lamm-mit/magpie-ultra-v0.1-DPO",
    "dataset:HuggingFaceH4/deita-10k-v0-sft",
    "dataset:lamm-mit/bio-silk-mech-data-integrated",
    "base_model:lamm-mit/Bioinspired-Base-Hermes-3-Llama-3.1-8B",
    "base_model:quantized:lamm-mit/Bioinspired-Base-Hermes-3-Llama-3.1-8B",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 278,
  "gated": false,
  "private": false,
  "last_modified": "2024-08-17T03:08:36.000Z",
  "created_at": "2024-08-17T01:51:39.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

{
  "_id": "66c0022bef1f45cd718e3b92",
  "id": "mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF",
  "modelId": "mradermacher/Bioinspired-Base-Hermes-3-Llama-3.1-8B-GGUF",
  "sha": "1e06ca67b7a4a9e5554eee604ab94ead1029233c",
  "createdAt": "2024-08-17T01:51:39.000Z",
  "lastModified": "2024-08-17T03:08:36.000Z",
  "author": "mradermacher",
  "downloads": 278,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 17
}