Qwen3.6 Pi-Tune
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Releases of Qwen3.6 family models fine tuned with the goal of improving agentic coding quality with PI • 2 items • Updated • 3
Thomas Kim PRO
bytkim
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Qwen/Qwen-AgentWorld-35B-A3B posted an update about 1 month ago
Qwen3.6-27B-pi-tune v2 is coming plus its sibling 35B-A3B variant
I just wanted to share an update on the progress of future releases for Qwen3.6-pi-tuned family models.
Both 27B and 35B models are now unified under native think/no-think functionality.
The biggest lesson I started to learn after reviewing many suggestions: Fine-tuning for local open-weight agents isn't just about raw coding capability or benchmark numbers. Harness fluency, tool-calling, validation loops, and user-facing behavior matter just as much, sometimes more.
That insight and philosophy is exactly what v2 is based on.
Although it hasn't even been a month since the original release I wanted to get out the 35B-A3B variant as soon as possible due to popular demand.
With the current and upcoming releases of a new class of Agentic LLM's (Fable, GPT5.6, etc) expect v3 to be the best yet.
For everyone already running the original: what's it doing well, and what makes you reach for a different model? These suggestions help shape future releases.
https://huggingface.co/collections/bytkim/qwen36-pi-tune
PS: Heres a sneak peek at the newest version with the new 35B-A3B variant performing a one shot task. 😁Organizations
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Article
QLORA SFT Distillation Effects on Qwen3.6 27B Agentic Coding Harness Fluency
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