Anyone else amped up over Qwen 3.8?

Reddit r/LocalLLaMA Models

Summary

The author shares excitement for the upcoming Qwen 3.8 model, highlighting their experience with Qwen 3.6 27B for local LLM use, and discusses the potential of self-hosted AI to replace subscription-based frontier models.

I’ve been using 3.6 27B Q4, and that quant is fast on an M5. The code has been average, but consistently “good enough.” And, after a year, I can see home LLMs being served at home much like streaming music was introduced. A simple browser extension and all your queries go through your own llm first bypassing what I fear will be a metered intelligence service fee to power all your devices. No thx. I still have an anthropic sub since I got going but it doesn’t go as far as it used to. The frontier models can’t keep subsiding us. So, very much looking forward to what a 3.8 dense 27B can do when it finally gets that far. Now that everything is instant gratification, I want it now. lol
Original Article

Similar Articles

Can't wait to see Qwen3.8-27B

Reddit r/LocalLLaMA

Qwen announced Qwen3.8, including a new 27B model, generating excitement for local deployment.

Qwen 3.7 Max

Reddit r/LocalLLaMA

Qwen 3.7 is an impressive new AI model from Chinese labs, with discussion on whether weights will be available for download.

Qwen3.7 Preview lands on Arena (1 minute read)

TLDR AI

Alibaba Qwen announces two major model releases: Qwen3-Omni, the first natively end-to-end omni-modal AI unifying text, image, audio and video, and Qwen3-Next-80B-A3B, an ultra-efficient MoE model with 3B activated parameters per token, achieving SOTA performance and 10x faster inference than Qwen3-32B.