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Georgi Gerganov on Qwen3.6-27B: A Capable Local LLM for Coding
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Originally published on Simon Willison's Weblog by Simon Willison
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Summary & Key Takeaways
- Georgi Gerganov highly recommends Qwen3.6-27B as an effective local LLM for coding.
- He uses it daily for small, mundane programming tasks at ggml-org.
- The model runs efficiently on his M2 Ultra and RTX 5090 setups.
- Gerganov highlights its utility as a helpful tool for maintainers.
- He employs a lightweight agent harness with a custom system prompt for alignment.
Our Commentary
Georgi Gerganov's word carries weight in the local LLM scene. If he's saying Qwen3.6-27B is 'very capable' for coding, I'm paying attention. It's good to hear practical, real-world usage reports, not just benchmark numbers.
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