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+ ---
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+ license: other
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+ license_name: nvidia-open-model-license
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+ license_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
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+ inference: false
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+ fine-tuning: false
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+ language:
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+ - en
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+ - zh
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+ - ko
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+ - fr
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+ - es
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+ - ru
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+ - ja
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+ - de
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+ - it
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+ - pt
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+ - pl
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+ - id
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+ - nl
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+ - vi
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+ tags:
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+ - nvidia
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+ - llama3.3
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+ - llama-cpp
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+ - gguf-my-repo
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+ datasets:
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+ - nvidia/HelpSteer3
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+ base_model: nvidia/Llama-3_3-Nemotron-Super-49B-GenRM-Multilingual
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+ library_name: transformers
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+ ---
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+
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+ # KnutJaegersberg/Llama-3_3-Nemotron-Super-49B-GenRM-Multilingual-Q6_K-GGUF
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+ This model was converted to GGUF format from [`nvidia/Llama-3_3-Nemotron-Super-49B-GenRM-Multilingual`](https://huggingface.co/nvidia/Llama-3_3-Nemotron-Super-49B-GenRM-Multilingual) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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+ Refer to the [original model card](https://huggingface.co/nvidia/Llama-3_3-Nemotron-Super-49B-GenRM-Multilingual) for more details on the model.
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+
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+ ## Use with llama.cpp
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+ Install llama.cpp through brew (works on Mac and Linux)
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+
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+ ```bash
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+ brew install llama.cpp
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+
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+ ```
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+ Invoke the llama.cpp server or the CLI.
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+
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+ ### CLI:
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+ ```bash
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+ llama-cli --hf-repo KnutJaegersberg/Llama-3_3-Nemotron-Super-49B-GenRM-Multilingual-Q6_K-GGUF --hf-file llama-3_3-nemotron-super-49b-genrm-multilingual-q6_k.gguf -p "The meaning to life and the universe is"
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+ ```
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+
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+ ### Server:
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+ ```bash
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+ llama-server --hf-repo KnutJaegersberg/Llama-3_3-Nemotron-Super-49B-GenRM-Multilingual-Q6_K-GGUF --hf-file llama-3_3-nemotron-super-49b-genrm-multilingual-q6_k.gguf -c 2048
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+ ```
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+
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+ Note: 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.
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+
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+ Step 1: Clone llama.cpp from GitHub.
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+ ```
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+ git clone https://github.com/ggerganov/llama.cpp
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+ ```
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+
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+ Step 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).
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+ ```
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+ cd llama.cpp && LLAMA_CURL=1 make
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+ ```
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+
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+ Step 3: Run inference through the main binary.
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+ ```
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+ ./llama-cli --hf-repo KnutJaegersberg/Llama-3_3-Nemotron-Super-49B-GenRM-Multilingual-Q6_K-GGUF --hf-file llama-3_3-nemotron-super-49b-genrm-multilingual-q6_k.gguf -p "The meaning to life and the universe is"
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+ ```
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+ or
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+ ```
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+ ./llama-server --hf-repo KnutJaegersberg/Llama-3_3-Nemotron-Super-49B-GenRM-Multilingual-Q6_K-GGUF --hf-file llama-3_3-nemotron-super-49b-genrm-multilingual-q6_k.gguf -c 2048
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+ ```