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This model was converted to GGUF format from [`nvidia/OpenReasoning-Nemotron-7B`](https://huggingface.co/nvidia/OpenReasoning-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/OpenReasoning-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/OpenReasoning-Nemotron-7B`](https://huggingface.co/nvidia/OpenReasoning-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/OpenReasoning-Nemotron-7B) for more details on the model.
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OpenReasoning-Nemotron-7B is a large language model (LLM) which is a
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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 about math, code and
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science solution generation. We evaluated this model with up to 64K
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output tokens. The OpenReasoning model is available in the following
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sizes: 1.5B, 7B and 14B and 32B.
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This model is ready for commercial/non-commercial research 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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