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This model was converted to GGUF format from [`prithivMLmods/Lacaille-MoT-4B-Supreme2`](https://huggingface.co/prithivMLmods/Lacaille-MoT-4B-Supreme2) 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/Lacaille-MoT-4B-Supreme2) 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/Lacaille-MoT-4B-Supreme2`](https://huggingface.co/prithivMLmods/Lacaille-MoT-4B-Supreme2) 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/Lacaille-MoT-4B-Supreme2) for more details on the model.
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Lacaille-MoT-4B-Supreme2 is a high-efficiency, multi-domain model fine-tuned on Qwen3-4B using the Mixture of Thoughts (MoT) dataset enhanced with code, math, science expert clusters and an extended open code reasoning dataset.
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This model blends symbolic precision, scientific logic, and structured
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output fluency—making it an ideal tool for developers, educators, and
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researchers seeking advanced reasoning under constrained compute.
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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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