Model Releases
Tuning Qwen 3.8 27B and OMP as a coding agent on 2× 3090s
Oh My Pi + vLLM on two 3090s. Average wait per turn went from 28s to 7s, mostly from changing omp settings: explicit effort level on every role (unset ones defaulted to xhigh) thinking_token_budget of
Oh My Pi + vLLM on two 3090s. Average wait per turn went from 28s to 7s, mostly from changing omp settings: explicit effort level on every role (unset ones defaulted to xhigh) thinking_token_budget of 7500 maxTokens 8k → 32k (file writes were getting cut off) tool output over 10 KB goes to a file max 4 subagents, appendOnlyContext on More info in the post, happy to answer any questions. submitted by /u/bolts98 [link] [comments]
Related
- Qwen 3.8 27B xhigh vs medium small comparison (+ others for fun)
- Qwen3.8-27B has the best coding ceiling you can run at home on consumer hardware, it ships with reasoning_effort defaulting to xhigh - I measured what that costs
- Local agentic coding Benchmark : Qwen 3.8 27B (in many weights quants / cache quants / engine / reasoning effort) vs others.
- Underrated Muse Glimmer
Source: r/LocalLLaMA | 2026-09-19