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DeepCoder-14B开源模型发布,性能媲美o3-mini

原标题:DeepCoder: A Fully Open-Source 14B Coder at O3-mini Level

Together AI Blog一手来源模型发布质量 88

AI 摘要

Together AI与Agentica团队联合发布了DeepCoder-14B-Preview,这是一个基于DeepSeek-R1-Distilled-Qwen-14B通过分布式强化学习微调的开源代码推理模型。该模型在LiveCodeBench上达到60.6%的Pass@1准确率,与o3-mini相当,并开源了数据集、代码、训练日志和系统优化。训练使用了24K个可验证的编程问题,在32块H100上耗时2.5周,并引入了加速2倍训练的verl-pipe系统。

以上摘要由 AI 生成,可能存在误差。事实请以原文为准。

正文节选

Through a joint collaboration between the Agentica team and Together AI, we release DeepCoder-14B-Preview, a code reasoning model finetuned from Deepseek-R1-Distilled-Qwen-14B via distributed RL. It achieves an impressive 60.6% Pass@1 accuracy on LiveCodeBench (+8% improvement), matching the performance of o3-mini-2025-01-031 (Low) and o1-2024-12-17 with just 14B parameters. We've open-sourced our dataset, code, training logs, and systems optimizations for everyone to progress on scaling and acc


发布时间:—
抓取时间:2026-08-03 01:13
来源机构:Together AI
阅读原文together.ai