We could really use Qwen3.8 in 27B, 35B, 122B and 397B sizes

Reddit r/LocalLLaMA News
qwen model-sizes open-source local-models cpu-offloading community

Summary

The author argues that releasing smaller Qwen models (27B, 35B, 122B, 397B) would better serve the local AI community than focusing on trillion-parameter behemoths, which are impractical for most users.

Instead of 2T+ models, continuing to release highly capable small to medium size LLMs would really help to keep this community vibrant. Hardly anyone can even dream of running the recent 1.5-2T+ beasts, while the range from the title could run comfortably (especially with CPU expert offloading) across a wide range of systems we have today. The trend towards Chinese labs trying to match the Mythos class frontier with trillion parameter open weights models is not helping the local model community to innovate. It just gives big corporates who can actually run these a cheaper alternative to the commercial frontier.
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