Reasoning using DeepSeek R1

Dataset

The benchmark implementation run command will automatically download the validation and calibration datasets and do the necessary preprocessing. In case you want to download only the datasets, you can use the below commands.

Validation

### Get Validation Dataset

mlcr get,preprocessed,dataset,deepseek-r1,_validation,_mlc,_r2-downloader --outdirname=<path to download> -j

### Get Calibration Dataset
```
mlcr get,preprocessed,dataset,deepseek-r1,_calibration,_mlc,_rclone --outdirname=<path to download> -j
```

Model

The benchmark implementation run command will automatically download the required model and do the necessary conversions. In case you want to only download the official model, you can use the below commands.

Pytorch

From MLCOMMONS Storage

Get the Official MLPerf DeekSeek-R1 model from MLCOMMONS Storage

mlcr get,ml-model,deepseek-r1,_r2-downloader,_mlc,_dry-run -j