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Add step to create the output directory
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.labspace/02-fine-tuning.md

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@@ -91,7 +91,13 @@ However, since you already have a data set and the fine-tuning code have been pr
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It will likely take a few moments to download the base image and perform all the required updates.
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3. Start a container using the newly created image and mounting the `gguf_output` directory (where the script will put the final GGUF file):
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3. Create a directory for the model output to be placed when completed:
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```bash
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mkdir output
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```
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4. Start a container using the newly created image and mounting the `gguf_output` directory (where the script will put the final GGUF file):
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```bash
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docker run -ti \
@@ -103,7 +109,7 @@ However, since you already have a data set and the fine-tuning code have been pr
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You will see the fine-tuning process kick off, which may have moments where it appears the output has frozen. The full model training takes about 12 minutes to run.
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4. Once the fine-tuning finishes, you should see the GGUF file in the `output` directory:
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5. Once the fine-tuning finishes, you should see the GGUF file in the `output` directory:
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```bash
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ls output/

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