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chore: Regenerate all playbooks

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GitLab CI 2025-10-07 19:03:50 +00:00
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nvidia/pytorch-fine-tune/README.md
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@ -30,7 +30,7 @@ Recipes are specifically for DIGITS SPARK. Please make sure that OS and drivers
## Ancillary files
ALl files required for fine-tuning are included.
ALl files required for fine-tuning are included in the folder in [the GitHub repository here](https://gitlab.com/nvidia/dgx-spark/temp-external-playbook-assets/dgx-spark-playbook-assets/-/blob/main/${MODEL}).
## Time & risk
@ -92,7 +92,7 @@ huggingface-cli login
##<Enter n for git credential>
```
## Step6: Clone the git repo with fine-tuning recipes
## Step 6: Clone the git repo with fine-tuning recipes
```bash
git clone https://gitlab.com/nvidia/dgx-spark/temp-external-playbook-assets/dgx-spark-playbook-assets/-/blob/main/${MODEL}
@ -106,7 +106,7 @@ To run LoRA on Llama3-8B use the following command:
python Llama3_8B_LoRA_finetuning.py
```
To run qLoRA fine-uning on llama3-70B use the following command:
To run qLoRA fine-tuning on llama3-70B use the following command:
```bash
python Llama3_70B_qLoRA_finetuning.py
```