The author tested the model himself, using the Ollama and MLX versions. Despite a minor issue with an 'ssl' bug, the model worked well and produced satisfactory results. The author concludes that the Qwen2.5-Coder-32B-Instruct model is a promising development, as it is small enough to run on his Mac without having to quit other applications, and the speed and quality of the results are competitive with the best hosted models. The author finds this release particularly useful for code assistance, which constitutes around 80% of his LLM usage.
Key takeaways:
- The Qwen2.5-Coder Series from Alibaba's Qwen research team is creating a lot of buzz in the open-source community.
- The 32B model of Qwen2.5-Coder-32B-Instruct is claimed to match the coding capabilities of GPT-4o and can run on a 64GB MacBook Pro M2.
- Qwen2.5 Coder models performed well on various benchmarks, including Aider's code editing benchmark, where the 32B Instruct model scored in between GPT-4o and 3.5 Haiku.
- The author tested the Qwen2.5-Coder-32B-Instruct model on their Mac and found both the speed and the quality of the results to be competitive with the current best of the hosted models.