webAI 发布开源模型 TwIL-LM3-Pro，仅 3.6B 参数，可在普通电脑本地量化运行，BIG-Bench Hard 得分 95.4，远超 Qwen3-8B 的 63.7。其训练配方为：在形式逻辑上微调、将权重合并回基座模型，再用程序化验证器做 RL，逻辑分数提升的同时通用推理保持稳定。该模型在 SVAMP 上得 95%、MuSR 上得 64.1%，均为所比较小模型中的最高分。
Small models are getting really good at reasoning.
It's exciting because SLMs can unlock so much at the harness layer.
TwIL-LM3-Pro from @thewebAI has 3.6B parameters and runs locally on everyday computers. It scores 95.4 on BIG-Bench Hard, well ahead of Qwen3-8B at 63.7.
I like their post-training recipe. They fine-tune on formal logic, merge the weights back toward the base model, and then run RL against a programmatic verifier. Logic scores go up, and general reasoning holds steady.
Great to see more of this work released as open source.
Half a million downloads in a month. Today, our open source family takes another step forward. Thank you for the incredible support behind our first-generation models. We’re excited to introduce TwIL-LM3-Pro. At just 3.6 billion parameters, it brings powerful reasoning to everyday computers, with quantized builds that run locally. No cloud required. In our evaluation: Formal logic: Highest recorded headline score among the small models compared—beating China’s VibeThinker-3B by 35% and Qwen3.5-4B by 24%, and Liquid AI’s LFM2.5-8B-A1B by 47%. Broader reasoning: 95% on SVAMP and 64.1% on MuSR, the highest recorded scores among the small models compared. BIG-Bench Hard’s logic subset: 95.4%, compared with VibeThinker-3B’s 61.1%. We believe AI is entering a post-training era. The advantage will increasingly belong to companies with the best pipelines and those that can produce capable, personalized intelligence faster and more efficiently, then put it on devices people already own. That’s what we’re building at webAI. And we’re only beginning to share what’s coming out of our lab. Coming soon: Meridian, our family of frontier-class models built to run on device. Our most advanced models will be available through the @thewebAI application. Join the waitlist as we expand access. Proudly built in Austin, Texas. 🇺🇸在 X 查看被引用的帖子
来源：elvis · x.com