@nate_512THIS MODEL IS ONLY 2.09 GIB. LET THAT SINK IN What thewebai managed to fit into just 3.6B parameters with TwIL-LM3-Pro is kinda ridiculous: โ beats VibeThinker-3B across all 6 formal-logic tasks tested โ roughly matches Qwen3-8B on the formal-logic composite โ 95.4% on BBH logic โ runs locally in ~2GB quantized Tiny model. Serious reasoning. ๐ค Open-weight and fully local (weights in ๐งต โ)
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