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This model was converted to GGUF format from [`open-thoughts/OpenThinker3-7B`](https://huggingface.co/open-thoughts/OpenThinker3-7B) 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/open-thoughts/OpenThinker3-7B) 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 [`open-thoughts/OpenThinker3-7B`](https://huggingface.co/open-thoughts/OpenThinker3-7B) 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/open-thoughts/OpenThinker3-7B) for more details on the model.
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State-of-the-art open-data 7B reasoning model.
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This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the OpenThoughts3-1.2M dataset. It represents a notable improvement over our previous models, OpenThinker-7B and OpenThinker2-7B, and it outperforms several other strong reasoning 7B models such as DeepSeek-R1-Distill-Qwen-7B and Llama-3.1-Nemotron-Nano-8B-v1, despite being trained only with SFT, without any RL.
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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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