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2026-03-16 19:06:57.000000
Very interesting results about the fine-tunability of different models. 👀 LFM2 is more flexible than alternatives. It also confirms some common knowledge about RL degrading fine-tuneability.
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Jacek Golebiowski (@j_golebiowski) · Mon Mar 16 18:29:41 +0000 2026
We benchmarked 15 small language models across 9 tasks to find out which one you should actually fine-tune. The most surprising result: Liquid AI's LFM2-350M ranked #1 for tunability. 350M parameters, absorbing training signal more effectively than models 20x its size. The https://t.co/qoTU9MAnsG
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