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Update Template/Docker Image being called to reference the new migrated repo location #170

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Update Template/Docker Image being called to reference the new migrated repo location #170

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Update fine-tune-llm-axolotl.md
Titanium-Monkey Dec 30, 2024
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Update fine-tune-llm-axolotl.md
Titanium-Monkey Dec 30, 2024
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4 changes: 2 additions & 2 deletions docs/tutorials/pods/fine-tune-llm-axolotl.md
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Expand Up @@ -23,12 +23,12 @@ Because of this, we recommend fine-tuning using RunPod's GPUs.

To do this, you'll need to create a Pod, specify a container, then you can begin training.
A Pod is an instance on a GPU or multiple GPUs that you can use to run your training job.
You also specify a Docker image like `winglian/axolotl-cloud:main-latest` that you want installed on your Pod.
You also specify a Docker image like `axolotlai/axolotl-cloud:main-latest` that you want installed on your Pod.

1. Login to [RunPod](https://www.runpod.io/console/console/home) and deploy your Pod.
1. Select **Deploy**.
2. Select a GPU instance.
3. Specify the `winglian/axolotl-cloud:main-latest` image as your Template image.
3. Specify the `axolotlai/axolotl-cloud:main-latest` image as your Template image.
4. Select your GPU count.
5. Select **Deploy**.

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