duyntnet/llama-3.1-supernova-lite-imatrix-gguf overview

{
  "metadata": {},
  "card_data": {
    "license": "other",
    "language": [
      "en"
    ],
    "pipeline_tag": "text-generation",
    "inference": false,
    "tags": [
      "transformers",
      "gguf",
      "imatrix",
      "Llama-3.1-SuperNova-Lite"
    ],
    "frontmatter": {
      "license": "other",
      "language": [
        "en"
      ],
      "pipeline_tag": "text-generation",
      "inference": "false",
      "tags": [
        "transformers",
        "gguf",
        "imatrix",
        "Llama-3.1-SuperNova-Lite"
      ]
    },
    "hero_image_url": "",
    "summary": "Llama-3.1-SuperNova-Lite is an 8B parameter model developed by Arcee.ai, based on the Llama-3.1-8B-Instruct architecture. It is a distilled version of the larger Llama-3.1-405B-Instruct model, leveraging offline logits extracted from the 405B parameter variant. This 8B variation of Llama-3.1-SuperNova maintains high performance while offering exceptional instruction-following capabilities and domain-specific adaptability. The model was trained using a state-of-the-art distillation pipeline and an instruction dataset generated with EvolKit, ensuring accuracy and efficiency across a wide range of tasks. For more information on its training, visit blog.arcee.ai. Llama-3.1-SuperNova-Lite excels in both benchmark performance and real-world applications, providing the power of large-scale models in a more compact, efficient form ideal for organizations seeking high performance with reduced resource requirements.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: other\nlanguage:\n- en\npipeline_tag: text-generation\ninference: false\ntags:\n- transformers\n- gguf\n- imatrix\n- Llama-3.1-SuperNova-Lite\n---\nQuantizations of https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite\n\n\n### Inference Clients/UIs\n* [llama.cpp](https://github.com/ggerganov/llama.cpp)\n* [KoboldCPP](https://github.com/LostRuins/koboldcpp)\n* [text-generation-webui](https://github.com/oobabooga/text-generation-webui)\n* [ollama](https://github.com/ollama/ollama)\n\n\n---\n\n# From original readme\n\nLlama-3.1-SuperNova-Lite is an 8B parameter model developed by Arcee.ai, based on the Llama-3.1-8B-Instruct architecture. It is a distilled version of the larger Llama-3.1-405B-Instruct model, leveraging offline logits extracted from the 405B parameter variant. This 8B variation of Llama-3.1-SuperNova maintains high performance while offering exceptional instruction-following capabilities and domain-specific adaptability. \n\nThe model was trained using a state-of-the-art distillation pipeline and an instruction dataset generated with [EvolKit](https://github.com/arcee-ai/EvolKit), ensuring accuracy and efficiency across a wide range of tasks. For more information on its training, visit blog.arcee.ai. \n\nLlama-3.1-SuperNova-Lite excels in both benchmark performance and real-world applications, providing the power of large-scale models in a more compact, efficient form ideal for organizations seeking high performance with reduced resource requirements.",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "imatrix",
    "Llama-3.1-SuperNova-Lite",
    "text-generation",
    "en",
    "license:other",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 97,
  "gated": false,
  "private": false,
  "last_modified": "2024-10-03T17:30:08.000Z",
  "created_at": "2024-10-03T15:11:30.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
}

{
  "_id": "66feb422c1a87ccc721c0ce6",
  "id": "duyntnet/Llama-3.1-SuperNova-Lite-imatrix-GGUF",
  "modelId": "duyntnet/Llama-3.1-SuperNova-Lite-imatrix-GGUF",
  "sha": "bd2e48eef64e149c1696d47a85cdc0e888ebb080",
  "createdAt": "2024-10-03T15:11:30.000Z",
  "lastModified": "2024-10-03T17:30:08.000Z",
  "author": "duyntnet",
  "downloads": 97,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "transformers",
  "siblings_count": 29
}