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webAI 发布 8.8B 推理模型 TwIL-8B，MATH-500 得分 98.2

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

官方一手marktechpost@Asif Razzaq
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webAI 用 IBM Granite 4.2 8B 调出了个 8.8B 小模型，MATH-500 拿到 98.2，做数学和代码推理的可以看看，但知识问答是短板。

webAI 基于 IBM Granite 4.2 8B 后训练出 8.8B 推理模型 TwIL-8B。该模型在 MATH-500 上取得 98.2 分，在 LiveCodeBench 上取得 81.6 分。不过它在知识类基准测试上落后于同规模模型。

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Original · marktechpost

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

webAI released TwIL-8B, an 8.8B reasoning model post-trained from IBM Granite 4.2 8B. It posts 98.2 on MATH-500 and 81.6 on LiveCodeBench, but trails similar-size models on knowledge benchmarks. The post webAI Releases TwIL-8B, an 8.8B Reasoning Model Scoring 98.2 on MATH-500 appeared first on MarkTechPost .

#webAI#TwIL-8B#IBM Granite#MATH-500#推理模型

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