{
  "video_id": "reddit_1vsinej",
  "channel_slug": "LocalLLaMA",
  "channel_handle": "r/LocalLLaMA",
  "title": "Am I doing something wrong? Qwen 3.8 27B seems useless for agentic coding",
  "url": "https://www.reddit.com/r/LocalLLaMA/comments/1vsinej/am_i_doing_something_wrong_qwen_38_27b_seems/",
  "external_url": null,
  "upload_date": "20260819",
  "published_at": "2026-08-19T10:32:34+00:00",
  "transcript": "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.\n\nOnce 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.\n\nWhen 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.\n\nWith 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.\n\nI 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.\n\n  \nYet 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.\n\nOr should I rather not use LM Studio but a different tool?\n\n\n\n--- Top Comments ---\n\n\n[216 upvotes] 50k token context is the problem. The model is basically Guy Pearce from Memento.\n\n[81 upvotes] 50k tokens is basically one thinking block, lol.   \nWith2x 3090 you can run it with full context.\n\n[49 upvotes] Why only 50k context with two 3090s?",
  "transcript_chars": 1590,
  "ingested_at": "2026-08-19T13:30:04.381758+00:00",
  "source": "reddit",
  "yt_meta": {
    "score": 55,
    "upvote_ratio": 0.73,
    "num_comments": 110,
    "author": "BuahahaXD",
    "is_self": true
  }
}