Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

docs: fix grammar and phrasing issues (1, 2, 3) #62

Merged
merged 1 commit into from
Jan 27, 2025
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,12 +1,12 @@
# Open R1

*A fully open reproduction of DeepSeek-R1. This repo is work in progress, let's build it together!*
*A fully open reproduction of DeepSeek-R1. This repo is a work in progress, let's build it together!*

## Overview

The goal of this repo is to build the missing pieces of the R1 pipeline such that everybody can reproduce and build on top of it. The project is simple by design and mostly consists of:

- `src/open_r1` contains the scripts to train and evaluate models as well generate synthetic data:
- `src/open_r1` contains the scripts to train and evaluate models as well as generate synthetic data:
- `grpo.py`: trains a model with GRPO on a given dataset.
- `sft.py`: simple SFT of a model on a dataset.
- `evaluate.py`: evaluates a model on the R1 benchmarks.
Expand Down Expand Up @@ -234,7 +234,7 @@ Take a look at the sample dataset at [HuggingFaceH4/numina-deepseek-r1-qwen-7b](

### Generate data from DeepSeek-R1

To run the bigger DeepSeek-R1, we used 2 nodes of 8xH100 each one, using the slurm file present in this repo at `slurm/generate.slurm`. First, install the dependencies:
To run the bigger DeepSeek-R1, we used 2 nodes, each with 8×H100 GPUs using the slurm file present in this repo at `slurm/generate.slurm`. First, install the dependencies:

(for now we need to install the vllm dev wheel that [fixes the R1 cuda graph capture](https://github.com/vllm-project/vllm/commits/221d388cc5a836fa189305785ed7e887cea8b510/csrc/moe/moe_align_sum_kernels.cu))
```shell
Expand Down
Loading