HuggingFaceTB
SmolLM is a series of state-of-the-art small language models available in three sizes: 135M, 360M, and 1.7B parameters. These models are built on Cosmo-Corpus, a meticulously curated high-quality training dataset.
Running this yourself: can likely run on your own machine.
SmolLM is a series of state-of-the-art small language models available in three sizes: 135M, 360M, and 1.7B parameters.
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Quality Score
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Arena ELO
135M
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
12 of 22 public signals
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177.0K
Downloads
271
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Jul 2024
Released
4/5 signals
0/4 signals
3/5 signals
3/4 signals
2/4 signals
Parameters
135M
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources