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This model was converted to GGUF format from [`UCSC-VLAA/STAR1-R1-Distill-7B`](https://huggingface.co/UCSC-VLAA/STAR1-R1-Distill-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/UCSC-VLAA/STAR1-R1-Distill-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 [`UCSC-VLAA/STAR1-R1-Distill-7B`](https://huggingface.co/UCSC-VLAA/STAR1-R1-Distill-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/UCSC-VLAA/STAR1-R1-Distill-7B) for more details on the model.
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STAR-1 is a high-quality safety dataset designed to enhance safety alignment in large reasoning models (LRMs) like DeepSeek-R1.
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Built on the principles of diversity, deliberative reasoning, and
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rigorous filtering, STAR-1 integrates and refines data from multiple
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sources to provide policy-grounded reasoning samples.
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The dataset contains 1,000 carefully selected examples, each aligned with best safety practices through GPT-4o-based evaluation.
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Fine-tuning with STAR-1 leads to significant safety improvements
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across multiple benchmarks, with minimal impact on reasoning
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capabilities.
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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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