Running Llama.cpp with Qwen3.6-35B on an AMD R9700: Full Website and Tests in One Go
Run the provided llama.cpp command with the Qwen3.6-35B-A3B-UD-Q5_K_XL model to generate a full website and Playwright tests in one go.
Run the provided llama.cpp command with the Qwen3.6-35B-A3B-UD-Q5_K_XL model to generate a full website and Playwright tests in one go.
Summary
The author ran a llama.cpp Vulkan server on an AMD R9700, using Qwen3.6-35B-A3B-UD-Q5_K_XL with 262144 context, 8 threads, 99 GPU layers, flash‑attn on, and batch sizes 2048/1024. They achieved a fully functional test website from a ChatGPT prompt and generated Playwright tests, requiring only a single nudge to fix a failing test. They provide the full command line, sampling settings from HuggingFace’s precise coding section, and a VS Code chatLanguageModels.json configuration. They also share a detailed ChatGPT prompt for building a bike shop service tracker. The post concludes that the model can generate complete codebases and tests in one run, ready until the next big release.
Key changes
- Running llama.cpp Vulkan server on AMD R9700 with Qwen3.6-35B-A3B-UD-Q5_K_XL.
- Context size set to 262144, 8 threads, 99 GPU layers, flash‑attn on, batch sizes 2048/1024.
- Generated a functional test website from ChatGPT prompt and Playwright tests with minimal nudging.
- Provided full command line and VS Code chatLanguageModels.json configuration.
- Shared a detailed ChatGPT prompt for building a bike shop service tracker.