jackapan/phi-4-mini-instruct-q4_k_m-gguf overview

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    "summary": "This model was converted to GGUF format from microsoft/Phi-4-mini-instruct using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.",
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    "readme_markdown": "---\nlanguage:\n- multilingual\n- ar\n- zh\n- cs\n- da\n- nl\n- en\n- fi\n- fr\n- de\n- he\n- hu\n- it\n- ja\n- ko\n- 'no'\n- pl\n- pt\n- ru\n- es\n- sv\n- th\n- tr\n- uk\nlibrary_name: transformers\nlicense: mit\nlicense_link: https://huggingface.co/microsoft/Phi-4-mini-instruct/resolve/main/LICENSE\npipeline_tag: text-generation\ntags:\n- nlp\n- code\n- llama-cpp\n- gguf-my-repo\nwidget:\n- messages:\n  - role: user\n    content: Can you provide ways to eat combinations of bananas and dragonfruits?\nbase_model: microsoft/Phi-4-mini-instruct\n---\n\n# Jackapan/Phi-4-mini-instruct-Q4_K_M-GGUF\nThis model was converted to GGUF format from [`microsoft/Phi-4-mini-instruct`](https://huggingface.co/microsoft/Phi-4-mini-instruct) 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/microsoft/Phi-4-mini-instruct) 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 Jackapan/Phi-4-mini-instruct-Q4_K_M-GGUF --hf-file phi-4-mini-instruct-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo Jackapan/Phi-4-mini-instruct-Q4_K_M-GGUF --hf-file phi-4-mini-instruct-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 Jackapan/Phi-4-mini-instruct-Q4_K_M-GGUF --hf-file phi-4-mini-instruct-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\nor\n```\n./llama-server --hf-repo Jackapan/Phi-4-mini-instruct-Q4_K_M-GGUF --hf-file phi-4-mini-instruct-q4_k_m.gguf -c 2048\n```\n",
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