yuma42/llama3.1-deepdilemma-v1-8b-q4_k_s-gguf overview

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      "Yuma42/Llama3.1-StableRoots-V0.5-8B",
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      "base_model": "Yuma42/Llama3.1-DeepDilemma-V1-8B",
      "tags": [
        "merge",
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        "lazymergekit",
        "Yuma42/Llama3.1-StableRoots-V0.5-8B",
        "Yuma42/Llama3.1-DeepDilemma-V0.9-8B",
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    "summary": "This model was converted to GGUF format from Yuma42/Llama3.1-DeepDilemma-V1-8B 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: Yuma42/Llama3.1-DeepDilemma-V1-8B\ntags:\n- merge\n- mergekit\n- lazymergekit\n- Yuma42/Llama3.1-StableRoots-V0.5-8B\n- Yuma42/Llama3.1-DeepDilemma-V0.9-8B\n- llama-cpp\n- gguf-my-repo\n---\n\n# Yuma42/Llama3.1-DeepDilemma-V1-8B-Q4_K_S-GGUF\nThis model was converted to GGUF format from [`Yuma42/Llama3.1-DeepDilemma-V1-8B`](https://huggingface.co/Yuma42/Llama3.1-DeepDilemma-V1-8B) 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/Yuma42/Llama3.1-DeepDilemma-V1-8B) 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 Yuma42/Llama3.1-DeepDilemma-V1-8B-Q4_K_S-GGUF --hf-file llama3.1-deepdilemma-v1-8b-q4_k_s-imat.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo Yuma42/Llama3.1-DeepDilemma-V1-8B-Q4_K_S-GGUF --hf-file llama3.1-deepdilemma-v1-8b-q4_k_s-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 Yuma42/Llama3.1-DeepDilemma-V1-8B-Q4_K_S-GGUF --hf-file llama3.1-deepdilemma-v1-8b-q4_k_s-imat.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo Yuma42/Llama3.1-DeepDilemma-V1-8B-Q4_K_S-GGUF --hf-file llama3.1-deepdilemma-v1-8b-q4_k_s-imat.gguf -c 2048\n```\n",
    "related_quantizations": []
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  "tags": [
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    "lazymergekit",
    "Yuma42/Llama3.1-StableRoots-V0.5-8B",
    "Yuma42/Llama3.1-DeepDilemma-V0.9-8B",
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    "region:us",
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  "likes": 2,
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  "last_modified": "2025-08-11T06:54:35.000Z",
  "created_at": "2025-08-11T06:54:08.000Z",
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