Model Releases
Qwen 3.8 is a workhorse
https://preview.redd.it/23cumykhabsh1.png?width=944&format=png&auto=webp&s=0b1d1c437fc845169f521b31793e2b1325dab0dd Reminder that you can put Qwen 3.8 27B as a subagent and its a workhorse. Pic: using
https://preview.redd.it/23cumykhabsh1.png?width=944&format=png&auto=webp&s=0b1d1c437fc845169f521b31793e2b1325dab0dd Reminder that you can put Qwen 3.8 27B as a subagent and its a workhorse. Pic: using DeepSeek v4.1 Flash as Orchestrator in Pi, Qwen 3.8 27B GSQ RCO in llama.cpp. submitted by /u/lordekeen [link] [comments]
Related
- Qwen 3.8 27b with DSH(DeepSeek Harness) is Amazing!! Experiences so far and perfomance.
- A 27b model beating latest frontier models was not on my 2026 bingo card
- Qwen3.8-27B IQ3_XXS wrote a correct multilayer TMM on a 16 GB Quadro — after 100 minutes, 3 compactions, and 108k output tokens
- [[splash-engine-qwen38-27b-in-native-8-bit-at-3755-toks-on-app|[Splash Engine] Qwen3.8-27B in native 8-bit at 37–55 tok/s on Apple Silicon: Extending Splash to Q8, 256k context scaling, and the 'Reasoning Cliff']]
Source: r/LocalLLaMA | 2026-09-28