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chore: Regenerate all playbooks

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GitLab CI 2025-12-17 15:56:41 +00:00
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nvidia/pytorch-fine-tune/README.md
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@ -51,9 +51,10 @@ ALl files required for fine-tuning are included in the folder in [the GitHub rep
* **Time estimate:** 30-45 mins for setup and runing fine-tuning. Fine-tuning run time varies depending on model size * **Time estimate:** 30-45 mins for setup and runing fine-tuning. Fine-tuning run time varies depending on model size
* **Risks:** Model downloads can be large (several GB), ARM64 package compatibility issues may require troubleshooting. * **Risks:** Model downloads can be large (several GB), ARM64 package compatibility issues may require troubleshooting.
* **Last Updated:** 12/15/2025 * **Last Updated:** 12/16/2025
* Fix broken commands to access files from GitHub * Fix broken commands to access files from GitHub
* Upgrade to latest pytorch container version nvcr.io/nvidia/pytorch:25.11-py3 * Upgrade to latest pytorch container version nvcr.io/nvidia/pytorch:25.11-py3
* Temporarily remove Llama3_70B_qLoRA_finetuning command to investigate slowness.
## Instructions ## Instructions
@ -117,11 +118,6 @@ To run LoRA on Llama3-8B use the following command:
python Llama3_8B_LoRA_finetuning.py python Llama3_8B_LoRA_finetuning.py
``` ```
To run qLoRA fine-tuning on llama3-70B use the following command:
```bash
python Llama3_70B_qLoRA_finetuning.py
```
To run full fine-tuning on llama3-3B use the following command: To run full fine-tuning on llama3-3B use the following command:
```bash ```bash
python Llama3_3B_full_finetuning.py python Llama3_3B_full_finetuning.py