Woolly post-trains Qwen3-8B for 2–3× faster math & code decoding
bosmeny · x · 2026-08-22
LambLabs introduced Woolly, a post-training technique for Qwen3-8B that accelerates decoding speed by 2–3× on math and coding prompts while optimizing for chip fit. The method is claimed to work with any LLM regardless of size or quantization. A live demo compares the original model against Woolly on shared GH200 hardware, showing significant speed improvements in tasks like implementing algorithms.
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