Cohere发布North Mini Code，其首个开源编码模型

报道来源 [5]

1. X — Cohere TIER_1 English(EN) · cohere · 2026-06-09 16:07

   我们鼓励开发者与我们分享他们的构建并提供反馈，以塑造未来的迭代。让我们共同塑造主权人工智能的未来。

   We encourage developers to share their builds with us and give feedback to shape future iterations. Let’s shape the future of sovereign AI together. Download: https://t.co/2C3eqGF95i

2. X — Cohere TIER_1 English(EN) · cohere · 2026-06-09 16:06

   小型：300亿参数，30亿活跃。

   Small: 30 billion parameters, 3B active. Efficient: Benchmarks to 33.4 on the Artificial Analysis Coding Index, competitive among similar sized models. Open Source: Apache 2.0 license so developers can experiment, test, and build their way. Learn more: https://t.co/2xIxJR3xcr

3. X — Cohere TIER_1 English(EN) · cohere · 2026-06-09 16:04

   推出 Cohere 首个开源代码模型：North Mini Code

   Introducing Cohere's first open-source coding model: North Mini Code Small & efficient, designed for agentic performance and built for community input. https://t.co/GYk5ORtysU

4. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-06-11 08:53

   Cohere 发布 North Mini Code，一款拥有 30B 参数的开源混合专家模型，其中 3B 参数为活跃参数。该模型针对代理编码和终端任务进行了优化，它 r

   Cohere has released North Mini Code, a 30B open-weight mixture-of-experts model with 3B active parameters. Optimised for agentic coding and terminal tasks, it runs on a single H100 GPU with 256K context. The model delivers up to 2.8x higher throughput than comparable models. http…

5. r/LocalLLaMA TIER_1 English(EN) · /u/nick_frosst · 2026-06-06 16:36

   Cohere 未发布的代码模型（localllama 早期访问）

   <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1tylzy2/coheres_unreleased_coding_model_early_access_for/"> <img alt="Cohere's unreleased coding model (early access for localllama)" src="https://external-preview.redd.it/v3Xn5US2tImdVoHz_sn1ZvWp4JwxaclSVEncX…