How I Fine-Tuned OpenAI gpt-oss-20b to Talk to Claude Code

1. 1Fine-tune OpenAI's gpt-oss-20b model using Apple Silicon hardware
2. 2Quantize the fine-tuned model to reduce its size to 10 GB
3. 3Serve the quantized model locally using vLLM-mlx
4. 4Test the locally served model with Claude Code integration
5. 5Optimize the model for better performance and accuracy

AI engineers and researchers can benefit from fine-tuning pre-trained models for specific tasks, such as integrating with Claude Code

💡 Fine-tuning pre-trained models can lead to significant performance improvements for specific tasks

Fine-tune OpenAI's gpt-oss-20b on Apple Silicon & serve locally with vLLM-mlx!