fengpeisheng1/mistral-7b-v0.3-chinese-chat-uncensored-iq4_nl-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored",
    "datasets": [
      "Minami-su/toxic-sft-zh",
      "llm-wizard/alpaca-gpt4-data-zh",
      "stephenlzc/stf-alpaca"
    ],
    "language": [
      "zh"
    ],
    "license": "mit",
    "pipeline_tag": "text-generation",
    "tags": [
      "text-generation-inference",
      "code",
      "unsloth",
      "uncensored",
      "finetune",
      "llama-cpp",
      "gguf-my-repo"
    ],
    "task_categories": [
      "conversational"
    ],
    "widget": [
      {
        "text": "Is this review positive or negative? Review: Best cast iron skillet you will ever buy.",
        "example_title": "Sentiment analysis"
      },
      {
        "text": "Barack Obama nominated Hilary Clinton as his secretary of state on Monday. He chose her because she had ...",
        "example_title": "Coreference resolution"
      },
      {
        "text": "On a shelf, there are five books: a gray book, a red book, a purple book, a blue book, and a black book ...",
        "example_title": "Logic puzzles"
      },
      {
        "text": "The two men running to become New York City's next mayor will face off in their first debate Wednesday night ...",
        "example_title": "Reading comprehension"
      }
    ],
    "frontmatter": {
      "base_model": "stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored",
      "datasets": [
        "Minami-su/toxic-sft-zh",
        "llm-wizard/alpaca-gpt4-data-zh",
        "stephenlzc/stf-alpaca"
      ],
      "language": [
        "zh"
      ],
      "license": "mit",
      "pipeline_tag": "text-generation",
      "tags": [
        "text-generation-inference",
        "code",
        "unsloth",
        "uncensored",
        "finetune",
        "llama-cpp",
        "gguf-my-repo"
      ],
      "task_categories": [
        "conversational"
      ],
      "widget": [
        "text: 'Is this review positive or negative? Review: Best cast iron skillet you will",
        "text: Barack Obama nominated Hilary Clinton as his secretary of state on Monday.",
        "text: 'On a shelf, there are five books: a gray book, a red book, a purple book,",
        "text: The two men running to become New York City's next mayor will face off in"
      ]
    },
    "hero_image_url": "",
    "summary": "This model was converted to GGUF format from stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored 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: stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored\ndatasets:\n- Minami-su/toxic-sft-zh\n- llm-wizard/alpaca-gpt4-data-zh\n- stephenlzc/stf-alpaca\nlanguage:\n- zh\nlicense: mit\npipeline_tag: text-generation\ntags:\n- text-generation-inference\n- code\n- unsloth\n- uncensored\n- finetune\n- llama-cpp\n- gguf-my-repo\ntask_categories:\n- conversational\nwidget:\n- text: 'Is this review positive or negative? Review: Best cast iron skillet you will\n    ever buy.'\n  example_title: Sentiment analysis\n- text: Barack Obama nominated Hilary Clinton as his secretary of state on Monday.\n    He chose her because she had ...\n  example_title: Coreference resolution\n- text: 'On a shelf, there are five books: a gray book, a red book, a purple book,\n    a blue book, and a black book ...'\n  example_title: Logic puzzles\n- text: The two men running to become New York City's next mayor will face off in\n    their first debate Wednesday night ...\n  example_title: Reading comprehension\n---\n\n# fengpeisheng1/Mistral-7B-v0.3-Chinese-Chat-uncensored-IQ4_NL-GGUF\nThis model was converted to GGUF format from [`stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored`](https://huggingface.co/stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored) 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/stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored) 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 fengpeisheng1/Mistral-7B-v0.3-Chinese-Chat-uncensored-IQ4_NL-GGUF --hf-file mistral-7b-v0.3-chinese-chat-uncensored-iq4_nl-imat.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo fengpeisheng1/Mistral-7B-v0.3-Chinese-Chat-uncensored-IQ4_NL-GGUF --hf-file mistral-7b-v0.3-chinese-chat-uncensored-iq4_nl-imat.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 fengpeisheng1/Mistral-7B-v0.3-Chinese-Chat-uncensored-IQ4_NL-GGUF --hf-file mistral-7b-v0.3-chinese-chat-uncensored-iq4_nl-imat.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo fengpeisheng1/Mistral-7B-v0.3-Chinese-Chat-uncensored-IQ4_NL-GGUF --hf-file mistral-7b-v0.3-chinese-chat-uncensored-iq4_nl-imat.gguf -c 2048\n```\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "text-generation-inference",
    "code",
    "unsloth",
    "uncensored",
    "finetune",
    "llama-cpp",
    "gguf-my-repo",
    "text-generation",
    "zh",
    "dataset:Minami-su/toxic-sft-zh",
    "dataset:llm-wizard/alpaca-gpt4-data-zh",
    "dataset:stephenlzc/stf-alpaca",
    "base_model:stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored",
    "base_model:quantized:stephenlzc/Mistral-7B-v0.3-Chinese-Chat-uncensored",
    "license:mit",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 2,
  "downloads": 212,
  "gated": false,
  "private": false,
  "last_modified": "2025-06-28T16:33:19.000Z",
  "created_at": "2025-06-28T16:33:01.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
}

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  "sha": "ae4936ad99f9af98545be85b1d6d6e33f153d985",
  "createdAt": "2025-06-28T16:33:01.000Z",
  "lastModified": "2025-06-28T16:33:19.000Z",
  "author": "fengpeisheng1",
  "downloads": 212,
  "likes": 2,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "",
  "siblings_count": 4
}