Model Releases
Am I doing something wrong? Qwen 3.8 27B seems useless for agentic coding
I have been using local models on/off for like 2 years or so but never really used them extensively because the closed ones were always much better. Once Qwen 3.8 27B was released I decided to give it
I have been using local models on/off for like 2 years or so but never really used them extensively because the closed ones were always much better. Once Qwen 3.8 27B was released I decided to give it another serious try. I configured Cline and ZooCode as VSCode addons, installed a few MCP servers and added one skill. When I used these tools with Deepseek V4 Flash - they do the job quite well (mostly Home Assistant configuration editing etc.) but it is still way worse than Claude Code/GitHub copilot that I use at work. With Qwen - running the Q6_K quant from unsloth - it runs tons of tokens and eventually either finishes the task (often incorrectly) or doesnt finish at all because it ends in a loop or tries to fix something that isn't broken. I run the model on Windows 11 using LM Studio. The hardware I have is powerful enough - 2x3090Ti. I offload it fully to GPU and set the context limit to around 50k tokens. Also - I was aware of the overthinking problem so I modified the prompt template to use medium effort instead. Yet still - I struggle to complete most of the tasks at hand. Can you tell me what I am doing wrong? I suspect that maybe Qwen is still using high reasoning effort but I have no way of checking that. Or should I rather not use LM Studio but a different tool? submitted by /u/BuahahaXD [link] [comments]
Related
- Local agentic coding Benchmark : Qwen 3.8 27B (in many weights quants / cache quants / engine / reasoning effort) vs others.
- Anyone managed to get Qwen 3.8 27B running smoothly on vLLM? Can't get rid of endless thinking
- Qwen 35B-A3B MoE vs 27B dense in local coding tests: ~4× faster, much smaller quality gap than I expected
Source: r/LocalLLaMA | 2026-08-19