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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/Llama-3.2-1B-bnb-4bit
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/Llama-3.2-1B-bnb-4bit
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The notebook to train the model is available [here](https://colab.research.google.com/drive/1kSalFdHaZTcvsnUGNoQcsGVORBVhCmdx#scrollTo=EfYtGx97f0ar). it is the Llama 3.2 1B base model (the unsloth Version) finetuned to write Python code with the (iamtarun/python_code_instructions_18k_alpaca)[https://huggingface.co/datasets/iamtarun/python_code_instructions_18k_alpaca/viewer/default/train?row=0] dataset.
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I wrote about the process on my blog, [here](https://diegoakel.me/finetuning-llama-32-1b-base-to-an-instruct-model-with-unsloth).
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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