quantfactory/l3-bluuwhale-sao-mix-8b-v1_fp32-merge-calc-gguf overview

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    "library_name": "transformers",
    "tags": [
      "mergekit",
      "merge"
    ],
    "base_model": [
      "bluuwhale/L3-SAO-MIX-8B-V1",
      "Sao10K/L3-8B-Niitama-v1",
      "Sao10K/L3-8B-Lunaris-v1",
      "Sao10K/L3-8B-Tamamo-v1",
      "Sao10K/L3-8B-Stheno-v3.2"
    ],
    "frontmatter": {},
    "hero_image_url": "https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ",
    "summary": "This is quantized version of Casual-Autopsy/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc created using llama.cpp # Original Model Card # L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc This is a remerge of bluuwhale's merger using the exact yaml config with the only difference being that merge calculations are done in fp32 instead of bfp16 I've done this since I'm planning to use this for another merger, but you can use as is if you wish.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "\n---\n\nlibrary_name: transformers\ntags:\n- mergekit\n- merge\nbase_model:\n- bluuwhale/L3-SAO-MIX-8B-V1\n- Sao10K/L3-8B-Niitama-v1\n- Sao10K/L3-8B-Lunaris-v1\n- Sao10K/L3-8B-Tamamo-v1\n- Sao10K/L3-8B-Stheno-v3.2\n\n---\n\n[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)\n\n\n# QuantFactory/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc-GGUF\nThis is quantized version of [Casual-Autopsy/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc](https://huggingface.co/Casual-Autopsy/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc) created using llama.cpp\n\n# Original Model Card\n\n# L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc\n\nThis is a remerge of [bluuwhale's merger](https://huggingface.co/bluuwhale/L3-SAO-MIX-8B-V1) using the exact yaml config with the only difference being that merge calculations are done in fp32 instead of bfp16\n\nI've done this since I'm planning to use this for another merger, but you can use as is if you wish.\n\n## Merge Details\n### Merge Method\n\nThis model was merged using the della merge method using [Sao10K/L3-8B-Niitama-v1](https://huggingface.co/Sao10K/L3-8B-Niitama-v1) as a base.\n\n### Models Merged\n\nThe following models were included in the merge:\n* [Sao10K/L3-8B-Lunaris-v1](https://huggingface.co/Sao10K/L3-8B-Lunaris-v1)\n* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)\n* [Sao10K/L3-8B-Tamamo-v1](https://huggingface.co/Sao10K/L3-8B-Tamamo-v1)\n\n### Configuration\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\nmodels:\n  - model: Sao10K/L3-8B-Lunaris-v1\n    parameters:\n      weight: 1.0\n  - model: Sao10K/L3-8B-Stheno-v3.2\n    parameters:\n      weight: 1.0\n  - model: Sao10K/L3-8B-Niitama-v1\n    parameters:\n      weight: 1.0\n  - model: Sao10K/L3-8B-Tamamo-v1\n    parameters:\n      weight: 1.0\nbase_model: Sao10K/L3-8B-Niitama-v1\nmerge_method: della\ndtype: float32\nout_dtype: bfloat16\n```\n\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "mergekit",
    "merge",
    "base_model:Sao10K/L3-8B-Lunaris-v1",
    "base_model:merge:Sao10K/L3-8B-Lunaris-v1",
    "base_model:Sao10K/L3-8B-Niitama-v1",
    "base_model:merge:Sao10K/L3-8B-Niitama-v1",
    "base_model:Sao10K/L3-8B-Stheno-v3.2",
    "base_model:merge:Sao10K/L3-8B-Stheno-v3.2",
    "base_model:Sao10K/L3-8B-Tamamo-v1",
    "base_model:merge:Sao10K/L3-8B-Tamamo-v1",
    "base_model:bluuwhale/L3-SAO-MIX-8B-V1",
    "base_model:merge:bluuwhale/L3-SAO-MIX-8B-V1",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 2,
  "downloads": 89,
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  "last_modified": "2024-09-23T19:04:18.000Z",
  "created_at": "2024-09-23T18:23:12.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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