{
  "video_id": "reddit_1umo8zu",
  "channel_slug": "LocalLLaMA",
  "channel_handle": "r/LocalLLaMA",
  "title": "Longcat 2 model weights have been published",
  "url": "https://www.reddit.com/r/LocalLLaMA/comments/1umo8zu/longcat_2_model_weights_have_been_published/",
  "external_url": null,
  "upload_date": "20260703",
  "published_at": "2026-07-03T19:49:38+00:00",
  "transcript": "[https://huggingface.co/meituan-longcat/LongCat-2.0-INT8](https://huggingface.co/meituan-longcat/LongCat-2.0-INT8)\n\n  \n[https://huggingface.co/meituan-longcat/LongCat-2.0-FP8](https://huggingface.co/meituan-longcat/LongCat-2.0-FP8)\n\n\n\n--- Top Comments ---\n\n\n[74 upvotes] > We introduce LongCat-2.0, a large-scale MoE language model with **1.6 trillion total parameters** and ~48 billion activated per token — a substantial step up from previous LongCat models, accompanied by several architectural improvements.\n>\n> Both the full training run and the large-scale deployment are built entirely on AI ASIC superpods. Pretraining spans millions of accelerator-days across more than **35 trillion tokens**, with no rollbacks or irrecoverable loss spikes — **demonstrating that we have the capability to conduct frontier-scale training on alternative hardware platforms.**\n\nThat is a big flex.\n\n[27 upvotes] https://preview.redd.it/isq8m2obn2bh1.png?width=922&format=png&auto=webp&s=b39cd5ec54a2c1b5591c23f9625238a756028f59\n\nThis is what it generated when I asked it to draw a long cat. Only joking - I drew that. Benchmarks look good, wish I could run it.\n\n[29 upvotes] Mom: We have Le Chaton Fat at home\n\nLe Chaton Fat at home:\n\n[22 upvotes] \"... demonstrating that we have the capability to conduct frontier-scale training on alternative hardware platforms.\"\n\nGuess to who is dedicated this LLM? ",
  "transcript_chars": 1394,
  "ingested_at": "2026-07-04T01:30:28.665294+00:00",
  "source": "reddit",
  "yt_meta": {
    "score": 96,
    "upvote_ratio": 0.99,
    "num_comments": 22,
    "author": "RhubarbSimilar1683",
    "is_self": true
  }
}