Meet TwIL-8B, webAI's AI Model for Math, Coding, and Reasoning
Overview
TwIL-8B is an 8.79B-parameter English text-generation model from webAI-Official, post-trained from IBM Granite 4.2 8B for contest mathematics, code, and instruction following. It has balanced (default) and verbose variants. The supplied benchmark results show strengths in math, code, and instruction following, with weaker results on knowledge-heavy benchmarks.
Best use cases
Use it for text-based contest math, code generation or problem solving, and instruction-following tasks. The balanced variant is intended for general use with shorter reasoning traces; the verbose variant is intended for difficult contest-style problems where longer reasoning is acceptable.
Limitations
Knowledge-heavy results are a documented weakness: GPQA Diamond is 70.2, and the supplied comparisons show lower scores than Qwen3.5-9B and Gemma 4 31B on GPQA Diamond, MMLU-Pro, and HLE. The model can produce long reasoning traces; benchmark token counts are directional because harnesses and tokenizers differ. There is no safety or preference tuning beyond what the Granite 4.2...
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