jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf-q2_k-gguf overview

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    "base_model": "jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf",
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      "base_model": "jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf",
      "library_name": "transformers",
      "tags": [
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    "summary": "This model was converted to GGUF format from jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf 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": "---\nbase_model: jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf\nlibrary_name: transformers\ntags:\n- llama-cpp\n- gguf-my-repo\n---\n\n# jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf-Q2_K-GGUF\nThis model was converted to GGUF format from [`jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf`](https://huggingface.co/jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf) 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/jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf) 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 jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf-Q2_K-GGUF --hf-file gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf-q2_k.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf-Q2_K-GGUF --hf-file gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf-q2_k.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 jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf-Q2_K-GGUF --hf-file gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf-q2_k.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf-Q2_K-GGUF --hf-file gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf-q2_k.gguf -c 2048\n```\n",
    "related_quantizations": []
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  "tags": [
    "transformers",
    "gguf",
    "llama-cpp",
    "gguf-my-repo",
    "base_model:jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf",
    "base_model:quantized:jnjj/gemma-3-4b-it-qat-int4-quantized-inference-unrestricted-weights-only-sf",
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  "last_modified": "2025-04-21T23:02:01.000Z",
  "created_at": "2025-04-21T23:01:43.000Z",
  "pipeline_tag": "",
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