
The Qwen2.5 series of coding models from Alibaba has been launched, showcasing significant advancements in code generation and repair capabilities. The Qwen2.5-Coder-7B model is touted to rival OpenAI's GPT-4 in coding tasks, achieving high scores on various benchmarks, including 73.7 on Aider and 65.9 on McEval. Additionally, the Qwen2.5-32B model has been highlighted for its superior performance compared to other leading models, including GPT-4o and Claude. The models are now available on multiple platforms, including Bakery and Baseten, with the Qwen2.5-Coder-32B being recognized as the first open-source coding model to match GPT-4o's capabilities. The integration of these models into frameworks such as OpenLLM and CAMEL further enhances their accessibility for developers.
on today's adventure in fine-tuning completely useless language models, behold: cifar-10 solver qwen-2.5-coder-0.5b (only 37.4% avg D:). https://t.co/pviKYtKnkI
Quantization matters - Impact of quantization on Aider benchmark Comparing Qwen 2.5 32B on 4 different providers/quantizations. The best version of the model rivals GPT-4o, while the worst performer is more like GPT-3.5 Turbo. https://t.co/q1vOfl6AoP
📢 We've just added support for the @Alibaba_Qwen models from Tongyi Qianwen in the 🐫 CAMEL framework! 🚀 By integrating the Qwen series models, including Qwen2.5-Coder (specialized in code generation and repair), Qwen-max (a high-performance model), Qwen-plus (optimized for… https://t.co/7iuDtJtSFH




