美国团队从零预训练了个开源模型，作者David Zhang放出来的，做开源模型的朋友可以看看细节。
一篇文章介绍了一个美国团队从零开始预训练（pretrained from scratch）的开源大语言模型。作者提到开发者为 David Zhang（@DZhang50），为发布加班赶工。该模型强调美国开源路线，未公布参数规模或基准成绩。
THIS IS SO EXCITING
A new open-source American LLM pretrained from scratch!!!!
I know @DZhang50 has been working overtime to get this out! :)
Hugging Face 聊开源模型怎么变现，还对比了中国和美国开源玩家的差距，做 AI 创业或选型的都该看看。
The default switch to the rewritten NCCL backend and new NIXL one-sided transport affect anyone running distributed training, so tuning assumptions from earlier versions may need revisiting. Engineers building inference on Blackwell or Apple Silicon can check the live overview for concrete decode gains. Registration is open via the official link.
webAI 开源了 88 亿参数的 TwIL-8B，编码、指令遵循、数学都能打到前沿模型九成左右的成绩，还小到自己的电脑能跑，权重直接放 Hugging Face 上了。
An open-weight 30B MoE with only ~4B active parameters makes speech-to-text with speaker diarisation and translation runnable on modest hardware, undercutting the usual cost of per-language ASR pipelines. Builders working on voice agents or meeting transcription can self-host one checkpoint instead of chaining multiple services. With 40-language coverage, it is a practical candidate for multilingual Southeast Asian speech workloads.
月之暗面把 2.8T 参数的 Kimi K3.1 Pro 权重直接开源了，4-bit 发布省存储，编程基准分数贴近 Claude Opus 5.5，纯知识题却差 GPT-6 一截，许可证对云托管商还有限制。
