Code and documentation to train Stanford's Alpaca models, and generate the data.

Alpaca dataset from Stanford, cleaned and curated

Run LLaMA (and Stanford-Alpaca) inference on Apple Silicon GPUs.

This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as Flan-T5.

The aim of this repository is to utilize LLaMA to reproduce and enhance the Stanford Alpaca

Zeus LLM Trainer is a rewrite of Stanford Alpaca aiming to be the trainer for all Large Language Models

Train llama with lora on one 4090 and merge weight of lora to work as stanford alpaca.

LLaMa Tuning with Stanford Alpaca Dataset using Deepspeed and Transformers

Finetuning Stanford Alpaca (LLaMA) with Brazilian Portuguese data

Multi-turn alpaca is an extension of stanford alpaca and supports multi-turn dialogue 多轮对话版alpaca

The OWCA dataset is a polish translated dataset of instructions for fine-tuning the Alpaca model made by Stanford .

A repo for finetuning MPT using LoRA. It is currently configured to work with the Alpaca dataset from Stanford but can easily be adapted to use another.

https://github.com/tatsu-lab/stanford_alpaca

This is a sample about how to run stanford_alpaca on Amazon SageMaker, only for demo use.

An experiment to see if chatgpt can improve the output of the stanford alpaca dataset

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In this project, I have provided code and a Colaboratory notebook that facilitates the fine-tuning process of an Alpaca 3B parameter model originally developed at Stanford University. The model was adapted using LoRA to run with fewer computational resources and training parameters and used HuggingFace's PEFT library.

Train llama with lora on NVIDIA RTX 4090 and merge weight of lora to work as stanford alpaca.

In this project, I have provided code and a Colaboratory notebook that facilitates the fine-tuning process of an Alpaca 350M parameter model originally developed at Stanford University. The model was adapted using LoRA to run with fewer computational resources and training parameters and used HuggingFace's PEFT library.

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Finetuning Llama2 model on Stanford Alpaca datasets

Reproduce renowned LLM papers, eg. Stanford Alpaca, LlaVa....

Stanford Alpaca LLM Training Data, modified with prompts and training data from educational sources

Generate Cantonese Instruction dataset by Gemini Pro using Stanford's Alpaca prompts for fine-tuning LLMs.

This repo contains the code and data used to finetune microsoft's phi 1_5 model. The finetune contains roughly 1M additional tokens. The datasets used are a combination of 200k Stanford Alpaca examples, 27k Code Exercise examples in python, and gsm8k dataset.

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Custom Stanford LLaMA/Alpaca training & fine tuning

Generate like Stanford Alpaca data using Gemma.