webAI releases 8.8B reasoning model TwIL-8B
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webAI releases TwIL-8B, an 8.79B dense reasoning model post-trained from IBM Granite 4.2 8B, targeting math, code, and instruction-following tasks; reports say it scores 98.2 on MATH-500. The model weights are now available on Hugging Face under a non-commercial license. The 4-bit version is 4.98 GiB and can run inference on CPUs or GPUs with limited VRAM; no hosted inference provider on Hugging Face currently offers the model.
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- MarkTechPostwebAI 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.
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