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🥁Introducing Gemini 2.5, our most intelligent model with impressive capabilities in advanced reasoning and coding. Now integrating thinking capabilities, 2.5 Pro Experimental is our most performant Gemini model yet. It’s #1 on the LM Arena leaderboard. 🥇

First bsky post! Super excited about the new MatQuant work! Allows training a quantized model where 2bit weights are nested within 4bits and so on. This enables "reading" off accurate models that can have 2bit quantization in the first layer, 4bit in the second layer etc. [1/n]

Delighted to be a minor co-author on this work, led by Pranav Nair: Combining losses for different Matyroshka-nested groups of bits in each weight within a neural network leads to an accuracy improvement for models (esp. 2-bit reps). Paper: "Matryoshka Quantization" at arxiv.org/abs/2502.06786