{
  "video_id": "reddit_1u5jtr8",
  "channel_slug": "LocalLLaMA",
  "channel_handle": "r/LocalLLaMA",
  "title": "Xiaomi is now serving MiMo V2.5 at 1000-3000tps using DFlash & Persistent kernel. DFLash model is out, open-source release promised coming soon",
  "url": "https://www.reddit.com/r/LocalLLaMA/comments/1u5jtr8/xiaomi_is_now_serving_mimo_v25_at_10003000tps/",
  "external_url": null,
  "upload_date": "20260614",
  "published_at": "2026-06-14T12:26:02+00:00",
  "transcript": "[https://mimo.xiaomi.com/blog/mimo-tilert-1000tps](https://mimo.xiaomi.com/blog/mimo-tilert-1000tps)\n\n\n\n--- Top Comments ---\n\n\n[19 upvotes] I would love to see v2.5 not pro, to run it in 2x rtx 6000 pro \n\n[13 upvotes] [https://huggingface.co/XiaomiMiMo/MiMo-V2.5-Pro-FP4-DFlash](https://huggingface.co/XiaomiMiMo/MiMo-V2.5-Pro-FP4-DFlash)\n\n1T QAT to MXFP4\n\nThis is the holy grail. TPS obviously varies massively based on task. I haven't tried it (no access) but based on their benchies (evaluations...) I think this would be a boon for the types of people that use CC with an open-weights model as the \"sonnet\" variant\n\nEDIT:  \nI just noticed the HF contains the MXFP4 variant so you can try it out right away! I can't edit the post title, so I'll re-post this in a minute\n\nEDIT2:  \nre-posted [here](https://www.reddit.com/r/LocalLLaMA/comments/1u5jxob/mimo_v25pro_mxfp4_dflash_xiaomi_is_serving_this/) I will be deleting this post in \\~30 minutes\n\nEDIT3:  \nFYI Realistic speeds past 8k context looks to be \\~600tps on coding tasks and 300-500 on general tasks\n\nEDIT4: why is everyone commenting on this post instead of the new one 😭\n\nEDIT5: ok fine I guess y'all want misinformation, I deleted the other post then\n\n[8 upvotes] So you need about 620-650GB of VRAM to keep this in memory with full context? Damn.\n\n[6 upvotes] By persistent kernel, do you mean this?  \n[https://github.com/mirage-project/mirage](https://github.com/mirage-project/mirage)\n\nEDIT: found it, it is this [https://github.com/tile-ai/TileRT](https://github.com/tile-ai/TileRT)",
  "transcript_chars": 1550,
  "ingested_at": "2026-06-14T13:30:24.599362+00:00",
  "source": "reddit",
  "yt_meta": {
    "score": 67,
    "upvote_ratio": 0.94,
    "num_comments": 18,
    "author": "Dany0",
    "is_self": true
  }
}