elvis· @omarsar0 · X·· 12 天前AI 评分55
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webAI 发布开源模型 TwIL-LM3-Pro,参数为 3.6B,提供量化版本,可在日常电脑本地运行且无需云端。转发者称其 BIG-Bench Hard 逻辑子集得分为 95.4%,高于 Qwen3-8B 的 63.7%;训练流程包括形式逻辑微调、将权重向基础模型合并,再用程序化验证器运行 RL。webAI 还表示后续将推出端侧前沿级模型系列 Meridian。
正文
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