A user on Reddit announced that they had fine-tuned the Qwen2.5-Coder-32B model, achieving results superior to ChatGPT 4o in coding benchmarks.

The news was shared via a post on the LocalLLaMA subreddit, with a link to a YouTube video illustrating the process and the results obtained. This demonstrates how open-source models, once subjected to targeted fine-tuning, can effectively compete with advanced proprietary solutions.

For those evaluating on-premise deployments, there are trade-offs to consider. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.