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This model was converted to GGUF format from [`Menlo/Lucy-128k`](https://huggingface.co/Menlo/Lucy-128k) 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/Menlo/Lucy-128k) 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 [`Menlo/Lucy-128k`](https://huggingface.co/Menlo/Lucy-128k) 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/Menlo/Lucy-128k) for more details on the model.
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Lucy is a compact but capable 1.7B model focused on agentic web search and lightweight browsing. Built on Qwen3-1.7B,
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Lucy inherits deep research capabilities from larger models while being
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optimized to run efficiently on mobile devices, even with CPU-only
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configurations.
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We achieved this through machine-generated task vectors that optimize
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thinking processes, smooth reward functions across multiple categories,
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and pure reinforcement learning without any supervised fine-tuning.
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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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