maziyarpanahi/llama-3.2-korean-bllossom-3b-gguf overview

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      "GGUF",
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      "text-generation"
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    "model_name": "llama-3.2-Korean-Bllossom-3B-GGUF",
    "base_model": "Bllossom/llama-3.2-Korean-Bllossom-3B",
    "inference": false,
    "model_creator": "Bllossom",
    "pipeline_tag": "text-generation",
    "quantized_by": "MaziyarPanahi",
    "frontmatter": {
      "tags": [
        "quantized",
        "2-bit",
        "3-bit",
        "4-bit",
        "5-bit",
        "6-bit",
        "8-bit",
        "GGUF",
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      "model_name": "llama-3.2-Korean-Bllossom-3B-GGUF",
      "base_model": "Bllossom/llama-3.2-Korean-Bllossom-3B",
      "inference": "false",
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    "summary": "# MaziyarPanahi/llama-3.2-Korean-Bllossom-3B-GGUF",
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    "readme_markdown": "---\ntags:\n- quantized\n- 2-bit\n- 3-bit\n- 4-bit\n- 5-bit\n- 6-bit\n- 8-bit\n- GGUF\n- text-generation\n- text-generation\nmodel_name: llama-3.2-Korean-Bllossom-3B-GGUF\nbase_model: Bllossom/llama-3.2-Korean-Bllossom-3B\ninference: false\nmodel_creator: Bllossom\npipeline_tag: text-generation\nquantized_by: MaziyarPanahi\n---\n# [MaziyarPanahi/llama-3.2-Korean-Bllossom-3B-GGUF](https://huggingface.co/MaziyarPanahi/llama-3.2-Korean-Bllossom-3B-GGUF)\n- Model creator: [Bllossom](https://huggingface.co/Bllossom)\n- Original model: [Bllossom/llama-3.2-Korean-Bllossom-3B](https://huggingface.co/Bllossom/llama-3.2-Korean-Bllossom-3B)\n\n## Description\n[MaziyarPanahi/llama-3.2-Korean-Bllossom-3B-GGUF](https://huggingface.co/MaziyarPanahi/llama-3.2-Korean-Bllossom-3B-GGUF) contains GGUF format model files for [Bllossom/llama-3.2-Korean-Bllossom-3B](https://huggingface.co/Bllossom/llama-3.2-Korean-Bllossom-3B).\n\n### About GGUF\n\nGGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.\n\nHere is an incomplete list of clients and libraries that are known to support GGUF:\n\n* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.\n* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.\n* [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.\n* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.\n* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.\n* [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.\n* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.\n* [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.\n* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.\n* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.\n\n## Special thanks\n\n🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "mistral",
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    "3-bit",
    "4-bit",
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    "6-bit",
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    "base_model:Bllossom/llama-3.2-Korean-Bllossom-3B",
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  "last_modified": "2024-10-20T10:41:43.000Z",
  "created_at": "2024-10-20T10:24:27.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
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