Fine-Tune Stanford Alpaca 7B Model | LLAMA Alpaca | Step-by-Step Guide | Karndeep Singh
In this video, we talked step by step guide to fine-tuning stanford alpaca 7B model using LLAMA and a self-instruct dataset. We used the official Stanford alpaca GitHub Repository to show fine-tune process.
Overview:
Alpaca 7B, a model fine-tuned from the LLaMA 7B model on 52K instruction-following demonstrations. On our preliminary evaluation of the single-turn instruction following, Alpaca behaves qualitatively similarly to OpenAI’s text-DaVinci-003, while being surprisingly small and easy/cheap to reproduce less than $600.
Run Alpaca on local computer: • Run Stanford Alpaca 7B LLAMA Instruction F...
LLAMA Model Paper : https://arxiv.org/pdf/2302.13971.pdf
Stanford Alpaca Blog: https://crfm.stanford.edu/2023/03/13/...
Stanford Alpaca github : https://github.com/tatsu-lab/stanford...
Connect with me on :
1. LinkedIn: / karndeepsingh
2. Telegram Group: https://telegram.me/datascienceclubac...
3. Github: https://www.github.com/karndeepsingh
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Silent Wood by Purrple Cat | https://purrplecat.com/
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#ai #alpaca #generativeai #datascience