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# SmolLM2 nanotron checkpoints
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Here you can find the [nanotron](https://github.com/huggingface/nanotron/) checkpoints of [SmolLM2](https://github.com/huggingface/smollm/) 1.7B, 360M and 135M models, with their optimizer states. The goal is to facilitate continual-pre-training of these models with nanotron.
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For each model size, we release both the final checkpoint and the pre-decay checkpoint. The models were trained using the Warmup-Stable-Decay (WSD) scheduler, so one can take the pre-decay checkpoint and continue training using the same stable learning rate value before performing the decay. For more details on this scheduler, you can check this [paper](https://arxiv.org/abs/2405.18392).
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```
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βββ 135M
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β βββ final
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βββ config.yaml π
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βββ model_config.json π
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```
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To download only one folder, e.g the final checkpoint of the 135M model, you can use `huggingface-cli`
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```bash
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# SmolLM2 nanotron checkpoints
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## Description
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Here you can find the [nanotron](https://github.com/huggingface/nanotron/) checkpoints of [SmolLM2](https://github.com/huggingface/smollm/) 1.7B, 360M and 135M models, with their optimizer states. The goal is to facilitate continual-pre-training of these models with nanotron.
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For each model size, we release both the final checkpoint and the pre-decay checkpoint. The models were trained using the Warmup-Stable-Decay (WSD) scheduler, so one can take the pre-decay checkpoint and continue training using the same stable learning rate value before performing the decay. For more details on this scheduler, you can check this [paper](https://arxiv.org/abs/2405.18392).
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Below is the repo structure:
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```
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βββ 135M
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β βββ final
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βββ config.yaml π
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βββ model_config.json π
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```
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## Download and training
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To download only one folder, e.g the final checkpoint of the 135M model, you can use `huggingface-cli`
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```bash
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