skynotion/meta-llama-3-8b-instruct-abliterated-v3-q4_k_m-gguf overview

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    "base_model": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
    "library_name": "transformers",
    "license": "llama3",
    "tags": [
      "llama-cpp",
      "gguf-my-repo"
    ],
    "frontmatter": {
      "base_model": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
      "library_name": "transformers",
      "license": "llama3",
      "tags": [
        "llama-cpp",
        "gguf-my-repo"
      ]
    },
    "hero_image_url": "",
    "summary": "This model was converted to GGUF format from failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3\nlibrary_name: transformers\nlicense: llama3\ntags:\n- llama-cpp\n- gguf-my-repo\n---\n\n# SkyNotion/Meta-Llama-3-8B-Instruct-abliterated-v3-Q4_K_M-GGUF\nThis model was converted to GGUF format from [`failspy/Meta-Llama-3-8B-Instruct-abliterated-v3`](https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.\nRefer to the [original model card](https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3) for more details on the model.\n\n## Use with llama.cpp\nInstall llama.cpp through brew (works on Mac and Linux)\n\n```bash\nbrew install llama.cpp\n\n```\nInvoke the llama.cpp server or the CLI.\n\n### CLI:\n```bash\nllama-cli --hf-repo SkyNotion/Meta-Llama-3-8B-Instruct-abliterated-v3-Q4_K_M-GGUF --hf-file meta-llama-3-8b-instruct-abliterated-v3-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo SkyNotion/Meta-Llama-3-8B-Instruct-abliterated-v3-Q4_K_M-GGUF --hf-file meta-llama-3-8b-instruct-abliterated-v3-q4_k_m.gguf -c 2048\n```\n\nNote: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.\n\nStep 1: Clone llama.cpp from GitHub.\n```\ngit clone https://github.com/ggerganov/llama.cpp\n```\n\nStep 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).\n```\ncd llama.cpp && LLAMA_CURL=1 make\n```\n\nStep 3: Run inference through the main binary.\n```\n./llama-cli --hf-repo SkyNotion/Meta-Llama-3-8B-Instruct-abliterated-v3-Q4_K_M-GGUF --hf-file meta-llama-3-8b-instruct-abliterated-v3-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo SkyNotion/Meta-Llama-3-8B-Instruct-abliterated-v3-Q4_K_M-GGUF --hf-file meta-llama-3-8b-instruct-abliterated-v3-q4_k_m.gguf -c 2048\n```\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "llama-cpp",
    "gguf-my-repo",
    "base_model:failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
    "base_model:quantized:failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
    "license:llama3",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 201,
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  "private": false,
  "last_modified": "2024-07-24T01:54:33.000Z",
  "created_at": "2024-07-24T01:54:11.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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  "id": "SkyNotion/Meta-Llama-3-8B-Instruct-abliterated-v3-Q4_K_M-GGUF",
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  "createdAt": "2024-07-24T01:54:11.000Z",
  "lastModified": "2024-07-24T01:54:33.000Z",
  "author": "SkyNotion",
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