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A small 8.8B model matching far larger systems on math and coding signals gains in post-training efficiency.
webAI released TwIL-8B, an 8.8B reasoning model post-trained from IBM Granite 4.2 8B. It scores 98.2 on MATH-500 and 81.6 on LiveCodeBench but trails peers on knowledge benchmarks.