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This model was converted to GGUF format from [`prithivMLmods/Lynx-TinySync-0.6B`](https://huggingface.co/prithivMLmods/Lynx-TinySync-0.6B) 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/prithivMLmods/Lynx-TinySync-0.6B) 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 [`prithivMLmods/Lynx-TinySync-0.6B`](https://huggingface.co/prithivMLmods/Lynx-TinySync-0.6B) 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/prithivMLmods/Lynx-TinySync-0.6B) for more details on the model.
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Lynx-TinySync-0.6B is a lightweight, high-performance model designed for mathematical reasoning, code generation, and general-purpose inference.
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Built on a custom modular dataset and powered by an efficient
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architecture, it excels in delivering structured, accurate outputs even
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in mid-resource environments. Despite its compact 0.6B parameter size, it demonstrates remarkable proficiency in math, code, and technical language understanding.
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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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