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  This model was converted to GGUF format from [`open-thoughts/OpenThinker2-7B`](https://huggingface.co/open-thoughts/OpenThinker2-7B) 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/OpenThinker2-7B) 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/OpenThinker2-7B`](https://huggingface.co/open-thoughts/OpenThinker2-7B) 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/OpenThinker2-7B) for more details on the model.
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+ ---
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+ This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the
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+ OpenThoughts2-1M dataset.
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+ The OpenThinker2-7B model is the top 7B open-data reasoning model. It delivers performance comparable to state of the art 7B models like DeepSeek-R1-Distill-7B across a suite of tasks.
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+ This model improves upon our previous OpenThinker-7B model, which was trained on 114k examples from OpenThoughts-114k.
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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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