SmallM2
Software / App
A series of best-in-class models, including a 1.7B parameter model that outperforms LLaMA 1B and QuIP 2.5; trained on 11 trillion tokens.
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A series of best-in-class models, including a 1.7B parameter model that outperforms LLaMA 1B and QuIP 2.5; trained on 11 trillion tokens.
![Best of 2024: Synthetic Data / Smol Models, Loubna Ben Allal, HuggingFace [LS Live! @ NeurIPS 2024]](https://i.ytimg.com/vi/AjmdDy7Rzx0/maxresdefault.jpg)