chore: Regenerate all playbooks

This commit is contained in:
GitLab CI 2025-10-03 22:41:41 +00:00
parent c76a2721b8
commit 6489f7362f
4 changed files with 7 additions and 7 deletions

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@ -75,8 +75,8 @@ sudo usermod -aG docker $USER
In a terminal, clone the repository and navigate to the flux-finetuning directory.
```bash
git clone https://******/spark-playbooks/dgx-spark-playbook-assets.git
cd dgx-spark-playbook-assets/flux-finetuning
git clone https://gitlab.com/nvidia/dgx-spark/temp-external-playbook-assets/dgx-spark-playbook-assets/-/blob/main dgx-spark-playbooks
cd dgx-spark-playbooks/nvidia/flux-finetuning
```
## Step 3. Build the Docker container

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@ -121,8 +121,8 @@ space and network bandwidth.
```bash
## Clone OpenFold repository
git clone <OPENFOLD_REPO_URL>
cd openfold
git clone https://gitlab.com/nvidia/dgx-spark/temp-external-playbook-assets/dgx-spark-playbook-assets/-/blob/main dgx-spark-playbooks
cd dgx-spark-playbooks/nvidia/protein-folding
pip install -e .
```

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@ -354,7 +354,7 @@ Expected response should contain `"content": "204"` or similar mathematical calc
| Symptom | Cause | Fix |
|---------|--------|-----|
| CUDA version mismatch errors | Wrong CUDA toolkit version | Reinstall CUDA 12.9 using exact installer |
| Container registry authentication fails | Invalid or expired GitLab token | Generate new token from ****** |
| Container registry authentication fails | Invalid or expired GitLab token | Generate new auth token |
| SM_121a architecture not recognized | Missing LLVM patches | Verify SM_121a patches applied to LLVM source |
| Reduce MAX_JOBS to 1-2, add swap space |
| Environment variables not set |

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@ -83,8 +83,8 @@ sudo usermod -aG docker $USER
In a terminal, clone the repository and navigate to the VLM fine-tuning directory.
```bash
git clone https://******/spark-playbooks/dgx-spark-playbook-assets.git
cd dgx-spark-playbook-assets/vlm-finetuning
git clone https://gitlab.com/nvidia/dgx-spark/temp-external-playbook-assets/dgx-spark-playbook-assets/-/blob/main dgx-spark-playbooks
cd dgx-spark-playbooks/nvidia/vlm-finetuning
```
## Step 3. Build the Docker container