Researcher optimizes Qwen3.8-27B AI model, doubling its speed on RTX 3090

A developer has detailed optimizations made to the Qwen3.8-27B language model on a single NVIDIA RTX 3090 GPU. The modifications, including a specific quantization method, increased the model's generation speed from approximately 33 tokens per second to around 60 tokens per second in coding tasks. The testing involved a suite of eight software repair tasks written in Python and TypeScript. The performance improvements are based on the researcher's own recorded local experiments, which used a specific context window size for evaluation. The findings aim to help configure the model for faster inference, though the tests do not represent all potential real-world uses.