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This model was converted to GGUF format from [`nvidia/OpenCodeReasoning-Nemotron-7B`](https://huggingface.co/nvidia/OpenCodeReasoning-Nemotron-7B) 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/OpenCodeReasoning-Nemotron-7B) for more details on the model.
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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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This model was converted to GGUF format from [`nvidia/OpenCodeReasoning-Nemotron-7B`](https://huggingface.co/nvidia/OpenCodeReasoning-Nemotron-7B) 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/OpenCodeReasoning-Nemotron-7B) for more details on the model.
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OpenCodeReasoning-Nemotron-7B is a large language model (LLM) which
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is a derivative of Qwen2.5-7B-Instruct (AKA the reference model). It is a
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reasoning model that is post-trained for reasoning for code generation.
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The model supports a context length of 32K tokens.
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This model is ready for commercial/non-commercial use.
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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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