WebbStanford Alpaca This is a replica of Alpaca by Stanford' tatsu. Trained using the original instructions with a minor modification in FSDP mode Webb14 mars 2024 · Please read our release blog post for more details about the model, our discussion of the potential harm and limitations of Alpaca models, and our thought process of an open-source release. 请阅读我们的发布博文,了解有关该模型的更多详细信息、我们对羊驼毛模型的潜在危害和局限性的讨论,以及我们对开源发布的思考过程。
仅训练3小时!ChatGPT有对手了!Alpaca:适用于消费级显卡的 …
Webb13 mars 2024 · In a preliminary human evaluation, we found that the Alpaca 7B model behaves similarly to the text-davinci-003 model on the Self-Instruct instruction-following … WebbEdit model card. This repo contains a low-rank adapter for LLaMA-7b fit on the Stanford Alpaca dataset. This version of the weights was trained with the following hyperparameters: Epochs: 10 (load from best epoch) Batch size: 128. Cutoff length: 512. Learning rate: 3e-4. clear book a4
Stanford Alpaca: 7B LLaMA instruction-following model that …
Webb13 mars 2024 · March 13, 2024: Stanford releases Alpaca 7B, a modification of the LMA 7B instruction set that "looks like 'text-davinci-003' from OpenAI but runs on much less powerful hardware." ads After finding the LMA weights ourselves, we followed Willison's instructions and ran version 7B on our MacBook Air M1, working at a reasonable speed. Webb14 mars 2024 · llama-7b-hf Tuning with Stanford Alpaca Dataset using Deepspeed and Transformers This is my first go at ML tuning, so this is probably very wrong. This should work on a single 3090 GPU A100 and takes 3 hours to train 250 setps on a subset of 1000 samples. Full 50k~ dataset should take ~19 hours. Webb15 mars 2024 · Researchers From Stanford Release Alpaca: An Instruction-Following Model Based on Meta AI LLaMA 7B By Tanushree Shenwai - March 15, 2024 There has been a rise in the efficacy of instruction-following models like GPT-3.5 (text-da Vinci-003), ChatGPT, Claude, and Bing Chat. clear book bags amazon