@Davidstout: Half a million downloads in a month. Today, our open source family takes another step forward. Thank you for the incred…

X AI KOLs Timeline Models
on-device small-model reasoning open-source quantization edge-ai

Summary

webAI introduces TwIL-LM3-Pro, a 3.6B-parameter open-source reasoning model that runs locally on everyday computers with quantized builds, claiming top small-model scores on formal logic, SVAMP, MuSR, and BIG-Bench Hard. They also tease Meridian, an upcoming family of frontier-class on-device models.

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. 🇺🇸
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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. 🇺🇸

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