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chore: Regenerate all playbooks
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@ -75,8 +75,8 @@ sudo usermod -aG docker $USER
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In a terminal, clone the repository and navigate to the flux-finetuning directory.
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```bash
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git clone https://******/spark-playbooks/dgx-spark-playbook-assets.git
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cd dgx-spark-playbook-assets/flux-finetuning
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git clone https://gitlab.com/nvidia/dgx-spark/temp-external-playbook-assets/dgx-spark-playbook-assets/-/blob/main dgx-spark-playbooks
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cd dgx-spark-playbooks/nvidia/flux-finetuning
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```
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## Step 3. Build the Docker container
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@ -121,8 +121,8 @@ space and network bandwidth.
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```bash
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## Clone OpenFold repository
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git clone <OPENFOLD_REPO_URL>
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cd openfold
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git clone https://gitlab.com/nvidia/dgx-spark/temp-external-playbook-assets/dgx-spark-playbook-assets/-/blob/main dgx-spark-playbooks
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cd dgx-spark-playbooks/nvidia/protein-folding
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pip install -e .
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```
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@ -354,7 +354,7 @@ Expected response should contain `"content": "204"` or similar mathematical calc
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| Symptom | Cause | Fix |
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|---------|--------|-----|
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| CUDA version mismatch errors | Wrong CUDA toolkit version | Reinstall CUDA 12.9 using exact installer |
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| Container registry authentication fails | Invalid or expired GitLab token | Generate new token from ****** |
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| Container registry authentication fails | Invalid or expired GitLab token | Generate new auth token |
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| SM_121a architecture not recognized | Missing LLVM patches | Verify SM_121a patches applied to LLVM source |
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| Reduce MAX_JOBS to 1-2, add swap space |
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| Environment variables not set |
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@ -83,8 +83,8 @@ sudo usermod -aG docker $USER
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In a terminal, clone the repository and navigate to the VLM fine-tuning directory.
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```bash
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git clone https://******/spark-playbooks/dgx-spark-playbook-assets.git
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cd dgx-spark-playbook-assets/vlm-finetuning
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git clone https://gitlab.com/nvidia/dgx-spark/temp-external-playbook-assets/dgx-spark-playbook-assets/-/blob/main dgx-spark-playbooks
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cd dgx-spark-playbooks/nvidia/vlm-finetuning
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```
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## Step 3. Build the Docker container
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