webAI Releases TwIL-8B, an 8.8B Reasoning Model Scoring 98.2 on MATH-500

webAI has released TwIL-8B, an 8.79B dense reasoning model post-trained from IBM's Granite 4.2 8B, with weights on Hugging Face under a non-commercial license. It scores 98.2 on MATH-500 and 81.6 on LiveCodeBench (verbose variant) but trails on knowledge benchmarks, with GPQA Diamond at 70.2, 11.5 points behind Qwen3.5-9B. A 4.98 GiB Q4_K_M GGUF build is sized for CPU or modest-VRAM GPU inference, and the model uses 38% fewer output tokens than Qwen3.5-9B on AIME 2026.