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Replace your cloud LLM agent with a 0.6B local model that actually scores higher - open source pipeline from production traces to specialist model training.

We just published an end-to-end pipeline that takes production LLM traces, uses them as context to generate synthetic training data, and fine-tunes a Qwen3-0.6B specialist that outperforms the 120B teacher it learned from. The full code is Apache-2.0 and the trained model is on Hugging Face. **The

Lead: r/LocalLLaMABigness: 21replaceyourcloudllmagent
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We just published an end-to-end pipeline that takes production LLM traces, uses them as context to generate synthetic training data, and fine-tunes a Qwen3-0.6B specialist that outperforms the 120B teacher it learned from. The full code is Apache-2.0 and the trained model is on Hugging Face. **The