{
  "video_id": "reddit_1vqnvfe",
  "channel_slug": "LocalLLaMA",
  "channel_handle": "r/LocalLLaMA",
  "title": "Unpopular opinion : Qwen 3.8 27b is not an overthinker",
  "url": "https://www.reddit.com/r/LocalLLaMA/comments/1vqnvfe/unpopular_opinion_qwen_38_27b_is_not_an/",
  "external_url": null,
  "upload_date": "20260817",
  "published_at": "2026-08-17T09:53:27+00:00",
  "transcript": "Yes it uses a ton more reasoning tokens than 3.6 did\n\nBut test in on the same tasks with the other chinese models, glm 5.3, deepseek v4 flash and pro, etc it's really similar, and they are needed\n\nThe reality is, we're just frustrated because our hardware do not allow most of us to have 1M context (I know that it's not supported yet) with 150 tps decode\n\nFurthermore, if you don't mind the quality drop, you can just add a reasoning budget, it will still be better than 3.6\n\n\n\n--- Top Comments ---\n\n\n[38 upvotes] A model cannot think enough in my opinion, our hardware just needs to get faster  \nin reality the situation right now is not just diminishing returns but actual regression on long reasoning traces.\n\nI'm fine on medium for now, by doing   \n`--chat-template-kwargs '{\"reasoning_effort\":\"medium\"}'`\n\nor in power-shell  \n`--chat-template-kwargs \"{\\\"reasoning_effort\\\":\\\"medium\\\"}\"`\n\n[32 upvotes] https://preview.redd.it/l1rkate1swjh1.png?width=660&format=png&auto=webp&s=85e476a5712313b903a3ac45acfe02d0253a06ae\n\nso far in my testing w/full bf16 all is working as you'd imagine it should, still early\n\n[13 upvotes] Real fact: Qwen 3.8 is by-default set to extra high reasoning, and reasoning is controlled by runtime config. If you set it to medium, it thinks just as much as 3.6. All the people that claim \"it's an overthinker!\" are just lazy and run the model with defaults without ever reading the docs.",
  "transcript_chars": 1417,
  "ingested_at": "2026-08-17T13:30:03.498654+00:00",
  "source": "reddit",
  "yt_meta": {
    "score": 129,
    "upvote_ratio": 0.88,
    "num_comments": 79,
    "author": "sukazu",
    "is_self": true
  }
}