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Update README.md

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@@ -9,6 +9,7 @@ tags:
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  - gemma
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  - gemma-2b
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  - bnb
 
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  ---
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  # Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
@@ -33,4 +34,4 @@ All notebooks are **beginner friendly**! Add your dataset, click "Run All", and
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  - This [conversational notebook](https://colab.research.google.com/drive/1Aau3lgPzeZKQ-98h69CCu1UJcvIBLmy2?usp=sharing) is useful for ShareGPT ChatML / Vicuna templates.
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  - This [text completion notebook](https://colab.research.google.com/drive/1ef-tab5bhkvWmBOObepl1WgJvfvSzn5Q?usp=sharing) is for raw text. This [DPO notebook](https://colab.research.google.com/drive/15vttTpzzVXv_tJwEk-hIcQ0S9FcEWvwP?usp=sharing) replicates Zephyr.
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- - \* Kaggle has 2x T4s, but we use 1. Due to overhead, 1x T4 is 5x faster.
 
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  - gemma
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  - gemma-2b
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  - bnb
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+ pipeline_tag: text-classification
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  ---
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  # Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
 
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  - This [conversational notebook](https://colab.research.google.com/drive/1Aau3lgPzeZKQ-98h69CCu1UJcvIBLmy2?usp=sharing) is useful for ShareGPT ChatML / Vicuna templates.
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  - This [text completion notebook](https://colab.research.google.com/drive/1ef-tab5bhkvWmBOObepl1WgJvfvSzn5Q?usp=sharing) is for raw text. This [DPO notebook](https://colab.research.google.com/drive/15vttTpzzVXv_tJwEk-hIcQ0S9FcEWvwP?usp=sharing) replicates Zephyr.
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+ - \* Kaggle has 2x T4s, but we use 1. Due to overhead, 1x T4 is 5x faster.