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zhuozhuo

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upvoted a paper about 1 month ago
LLaMAX2: Your Translation-Enhanced Model also Performs Well in Reasoning
reacted to FeYuan's post with 🔥 about 1 month ago
Meet LLaMAX2! Lightweight Pipeline - SFT on Qwen3-Instruct Models without Catastrophic Forgetting !!! ✨Highlights: 🔹 SOTA Translation: State-of-the-art translation performance across both high- and low-resource trained languages. 🔹 Lightweight Pipeline: Engineered for efficiency, our pipeline uses minimal parallel data and applies layer-selective tuning to a powerful instruct model. 🔹 Strong Reasoning Capabilities: Exhibits reasoning abilities that are competitive with top-tier models like Qwen3-Instruct. Welcome to use our models. More Details: 🎉 Paper: https://huggingface.co/papers/2510.09189 🎉 Code: https://github.com/CONE-MT/LLaMAX2.0 🎉 Model: https://huggingface.co/collections/LLaMAX/llamax20-68ad1c154fcf2623b75a068c
upvoted a paper 3 months ago
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence
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