Instruct-tune LLaMA on consumer hardware
Convert Compute And Books Into Instruct-Tuning Datasets! Makes: QA, RP, Classifiers.
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
A curated list of awesome instruction tuning datasets, models, papers and repositories.
微调ChatGLM
Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`
This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
SVIT: Scaling up Visual Instruction Tuning
Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.
Implementation of BitNet-1.58 instruct tuning
A finetuning pipeline for instruct tuning Raven 14bn using QLORA 4bit and the Ditty finetuning library
Customizable implementation of the self-instruct paper.
Extension for webui to run instruct-pix2pix
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions (ICCV 2023)
Instruct-tune LLaMA on consumer hardware with shareGPT data
ChatGLM-6B 指令学习|指令数据|Instruct
Aligning pretrained language models with instruction data generated by themselves.
A plug-and-play library for parameter-efficient-tuning (Delta Tuning)
Interactive Jupyter Notebook Environment for using the GPT-3 Instruct API
翻译 - 使用GPT-3 Instruct API的交互式Jupyter Notebook环境
Run inference on replit-3B code instruct model using CPU
#大语言模型#Instruction Tuning with GPT-4
Automated Machine Learning on Kubernetes
Home of StarCoder: fine-tuning & inference!
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
#大语言模型#Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)