File size: 1,374 Bytes
4227573 8d27ec7 4227573 314edb0 4227573 314edb0 4227573 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 |
---
language:
- en
---
# SmolLM3 Training Configs
**[IMPORTANT NOTE]**: for the latest configs go to this repo: https://github.com/huggingface/smollm/tree/main/text/pretraining/smollm3
Here you can find the training configs for [SmoLLM3-3B-Base](https://huggingface.co/HuggingFaceTB/SmolLM3-3B-Base) using [nanotron](https://github.com/huggingface/nanotron/) with exact training details and data mixtures.
The model was trained on 11.2T tokens in 3 stages on 4k context:
- stage 1 [config](https://huggingface.co/datasets/HuggingFaceTB/smollm3-configs/blob/main/stage1_8T.yaml)
- stage 2 [config](https://huggingface.co/datasets/HuggingFaceTB/smollm3-configs/blob/main/stage2_8T_9T.yaml)
- stage 3 [config](https://huggingface.co/datasets/HuggingFaceTB/smollm3-configs/blob/main/stage3_9T_11T.yaml)
And then we trained on an additional 2 stages to extend the contetx length to 64k:
- stage 4 [config](https://huggingface.co/datasets/HuggingFaceTB/smollm3-configs/blob/main/long_context_4k_to_32k.yaml)
- stage 5 [config](https://huggingface.co/datasets/HuggingFaceTB/smollm3-configs/blob/main/long_context_32k_to_64.yaml)
|