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Add nanotron performance #274

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Add nanotron performance #274

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9 changes: 9 additions & 0 deletions README.md
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Expand Up @@ -51,6 +51,7 @@ pip install triton "flash-attn>=2.5.0" --no-build-isolation
> [!TIP]
> We log to wandb automatically if it's installed. For that you can use `pip install wandb`. If you don't want to use wandb, you can run `wandb disabled`.


## Quick Start
### Training a tiny Llama model
The following command will train a tiny Llama model on a single node with 8 GPUs. The model will be saved in the `checkpoints` directory as specified in the config file.
Expand All @@ -64,6 +65,14 @@ torchrun --nproc_per_node=1 run_generate.py --ckpt-path checkpoints/10/ --tp 1 -
# We could set a larger TP for faster generation, and a larger PP in case of very large models.
```

### Performance
| | 1 node | 4 nodes | 8 nodes | 16 nodes |
| --- | --- | --- | --- | --- |
| **8b** | | | | |
| nanotron | 45.22% | 43% | | 36% |
| **80b** | | | | |
| nanotron | | | 30.65% | 34.29% |

### Custom examples
You can find more examples in the [`/examples`](/examples) directory:
<!-- Make a table of the examples we support -->
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