sarman/dgx-spark-playbooks
1
0
Fork 0
mirror of https://github.com/NVIDIA/dgx-spark-playbooks.git synced 2026-04-22 01:53:53 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

chore: Regenerate all playbooks

Browse Source
This commit is contained in:
GitLab CI 2025-11-07 15:04:17 +00:00
parent e4ca6905af
commit a1c0772ba6
3 changed files with 4 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
nvidia/jax/README.md
View File

@ -103,7 +103,7 @@ git clone https://github.com/NVIDIA/dgx-spark-playbooks
> This command will download a base image and build a container locally to support this environment.
```bash
cd jax/assets
cd dgx-spark-playbooks/nvidia/jax/assets
docker build -t jax-on-spark .
```

2
nvidia/pytorch-fine-tune/README.md
View File

@ -93,7 +93,7 @@ huggingface-cli login
```bash
git clone https://github.com/NVIDIA/dgx-spark-playbooks
cd nvidia/pytorch-fine-tune/assets
cd dgx-spark-playbooks/nvidia/pytorch-fine-tune/assets
```
## Step7: Run the fine-tuning recipes

3
nvidia/unsloth/README.md
View File

@ -87,6 +87,7 @@ docker run --gpus all --ulimit memlock=-1 -it --ulimit stack=67108864 --entrypoi
```bash
pip install transformers peft datasets "trl==0.19.1"
pip install --no-deps unsloth unsloth_zoo
pip install hf_transfer
```
## Step 5. Build and install bitsandbytes inside Docker
@ -99,7 +100,7 @@ pip install --no-deps bitsandbytes
Curl the test script [here](https://github.com/NVIDIA/dgx-spark-playbooks/blob/main/nvidia/unsloth/assets/test_unsloth.py) into the container.
```bash
curl -O https://github.com/NVIDIA/dgx-spark-playbooks/blob/main/nvidia/unsloth/assets/test_unsloth.py
curl -O https://raw.githubusercontent.com/NVIDIA/dgx-spark-playbooks/refs/heads/main/nvidia/unsloth/assets/test_unsloth.py
```
We will use this test script to validate the installation with a simple fine-tuning task.