{
  "video_id": "reddit_1u19pcg",
  "channel_slug": "LocalLLaMA",
  "channel_handle": "r/LocalLLaMA",
  "title": "Cohere North Mini Code 1.0",
  "url": "https://www.reddit.com/r/LocalLLaMA/comments/1u19pcg/cohere_north_mini_code_10/",
  "external_url": null,
  "upload_date": "20260609",
  "published_at": "2026-06-09T16:17:03+00:00",
  "transcript": "Early access was linked here a few days ago, but final release seems to be now. 30B A3B coding model.\n\nWeights: [https://huggingface.co/CohereLabs/North-Mini-Code-1.0](https://huggingface.co/CohereLabs/North-Mini-Code-1.0)\n\nBlog: [https://huggingface.co/blog/CohereLabs/introducing-north-mini-code](https://huggingface.co/blog/CohereLabs/introducing-north-mini-code)\n\nArtificial analysis score of 28 is pretty weak against Qwen 3.6 35B (43), but it's more competitive in coding index (33 vs 35) and well above Gemma 4 26B (22) there: [https://artificialanalysis.ai/models/north-mini-code](https://artificialanalysis.ai/models/north-mini-code)\n\n\n\n--- Top Comments ---\n\n\n[18 upvotes] It’s the beginning with them I guess on coding but cohere is on fire lately and feels like we need a player like this in the market right now .   And glad to see them play in coding.  \n\n[15 upvotes] We don't get coder models frequently. When was last time we saw coder model? Devstral? or Qwen3-Coder-Next?\n\nCoding Index looks good, standing among Qwen3.5/3.6/Gemma-4 models\n\nhttps://preview.redd.it/i2diys9rea6h1.png?width=4344&format=png&auto=webp&s=66b389303c83c1d7c133b4fdad7f68329259dd73\n\n[12 upvotes] I have a hard time believing benchmarks anymore, considering many models seem to be performing within an acceptable range. I just wonder if it will be similar to gemma 4 in speaking/thinking style but stronger agentic coding. also, considering speed is becoming a bigger desire for users, I wonder how well it would do on a gb10.\n\n[11 upvotes] yaay Canada.\n\namazing that we have competitors. Sure not frontier, but more is better.\n\n[9 upvotes] llama.cpp PR(Open)\n\n[https://github.com/ggml-org/llama.cpp/pull/24260](https://github.com/ggml-org/llama.cpp/pull/24260)",
  "transcript_chars": 1753,
  "ingested_at": "2026-06-10T01:30:03.959111+00:00",
  "source": "reddit",
  "yt_meta": {
    "score": 74,
    "upvote_ratio": 0.96,
    "num_comments": 16,
    "author": "Middle_Bullfrog_6173",
    "is_self": true
  }
}