Benchmarking LFM2.5-Thinking on GSM8k (early result)

LFM2.5-Thinking, a small but efficient reasoning model, has shown promising performance on the GSM8k benchmark dataset with accuracy rates up to 87.4% at different context sizes. This matters as it demonstrates significant improvements in handling complex multi-step math problems compared to earlier benchmarks. Developers should watch for further validation and comparisons against other models.

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