v8karlo/uncensored-wukong-phi-3-instruct-ablated-q4_k_m-gguf overview

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    "language": [
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    "license": "mit",
    "tags": [
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    "base_model": "RESMPDEV/Wukong-Phi-3-Instruct-Ablated",
    "datasets": [
      "cognitivecomputations/Dolphin-2.9"
    ],
    "uncensored": [
      "yes"
    ],
    "frontmatter": {
      "language": [
        "en"
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      "license": "mit",
      "tags": [
        "llama-cpp",
        "gguf-my-repo"
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      "base_model": "RESMPDEV/Wukong-Phi-3-Instruct-Ablated",
      "datasets": [
        "cognitivecomputations/Dolphin-2.9"
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      "uncensored": [
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    "hero_image_url": "https://cdn-uploads.huggingface.co/production/uploads/662c3116277765660783ca6d/OUGbRFBAx9Ibs2bD-OZGD.png",
    "summary": "UNCENSORED Phi-3 model. !image/png This model was converted to GGUF format from RESMPDEV/Wukong-Phi-3-Instruct-Ablated using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model. Convert Safetensors to GGUF . https://huggingface.co/spaces/ggml-org/gguf-my-repo   .",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlanguage:\n- en\nlicense: mit\ntags:\n- llama-cpp\n- gguf-my-repo\nbase_model: RESMPDEV/Wukong-Phi-3-Instruct-Ablated\ndatasets:\n- cognitivecomputations/Dolphin-2.9\nuncensored:\n- yes\n---\n\n# v8karlo/Wukong-Phi-3-Instruct-Ablated-Q4_K_M-GGUF\n\nUNCENSORED Phi-3 model.\n\n![image/png](https://cdn-uploads.huggingface.co/production/uploads/662c3116277765660783ca6d/OUGbRFBAx9Ibs2bD-OZGD.png)\n\nThis model was converted to GGUF format from [`RESMPDEV/Wukong-Phi-3-Instruct-Ablated`](https://huggingface.co/RESMPDEV/Wukong-Phi-3-Instruct-Ablated) 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/RESMPDEV/Wukong-Phi-3-Instruct-Ablated) for more details on the model.\n\n\nConvert Safetensors to GGUF . https://huggingface.co/spaces/ggml-org/gguf-my-repo   .\n\n<video controls autoplay src=\"https://cdn-uploads.huggingface.co/production/uploads/662c3116277765660783ca6d/qPHdaxOccIFcpmcewfa9r.mp4\"></video>\n\n\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 --hf-repo v8karlo/Wukong-Phi-3-Instruct-Ablated-Q4_K_M-GGUF --hf-file wukong-phi-3-instruct-ablated-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo v8karlo/Wukong-Phi-3-Instruct-Ablated-Q4_K_M-GGUF --hf-file wukong-phi-3-instruct-ablated-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./main --hf-repo v8karlo/Wukong-Phi-3-Instruct-Ablated-Q4_K_M-GGUF --hf-file wukong-phi-3-instruct-ablated-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./server --hf-repo v8karlo/Wukong-Phi-3-Instruct-Ablated-Q4_K_M-GGUF --hf-file wukong-phi-3-instruct-ablated-q4_k_m.gguf -c 2048\n```\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "llama-cpp",
    "gguf-my-repo",
    "en",
    "dataset:cognitivecomputations/Dolphin-2.9",
    "base_model:RESMPDEV/Wukong-Phi-3-Instruct-Ablated",
    "base_model:quantized:RESMPDEV/Wukong-Phi-3-Instruct-Ablated",
    "license:mit",
    "endpoints_compatible",
    "region:us",
    "conversational"
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  "likes": 4,
  "downloads": 106,
  "gated": false,
  "private": false,
  "last_modified": "2024-06-06T01:37:01.000Z",
  "created_at": "2024-06-06T01:03:38.000Z",
  "pipeline_tag": "",
  "library_name": ""
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  "author": "v8karlo",
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