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This model was converted to GGUF format from [`Skywork/Skywork-OR1-7B-Preview`](https://huggingface.co/Skywork/Skywork-OR1-7B-Preview) 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/Skywork/Skywork-OR1-7B-Preview) 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 [`Skywork/Skywork-OR1-7B-Preview`](https://huggingface.co/Skywork/Skywork-OR1-7B-Preview) 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/Skywork/Skywork-OR1-7B-Preview) for more details on the model.
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The Skywork-OR1 (Open Reasoner 1) model
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series consists of powerful math and code reasoning models trained
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using large-scale rule-based reinforcement learning with carefully
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designed datasets and training recipes. This series includes two
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general-purpose reasoning modelsl, Skywork-OR1-7B-Preview and Skywork-OR1-32B-Preview, along with a math-specialized model, Skywork-OR1-Math-7B.
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-Skywork-OR1-Math-7B is specifically optimized for mathematical reasoning, scoring 69.8 on AIME24 and 52.3 on AIME25 — well ahead of all models of similar size.
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-Skywork-OR1-32B-Preview delivers the 671B-parameter Deepseek-R1 performance on math tasks (AIME24 and AIME25) and coding tasks (LiveCodeBench).
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-Skywork-OR1-7B-Preview outperforms all similarly sized models in both math and coding scenarios.
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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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