Instruct-tune LLaMA on consumer hardware
#自然语言处理#Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
#Awesome#A curated list of awesome instruction tuning datasets, models, papers and repositories.
微调ChatGLM
#自然语言处理#Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`
#大语言模型#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
Implementation of BitNet-1.58 instruct tuning
Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.
A finetuning pipeline for instruct tuning Raven 14bn using QLORA 4bit and the Ditty finetuning library
IP Adapter Instruct
Customizable implementation of the self-instruct paper.
Extension for webui to run instruct-pix2pix
#计算机科学#Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions (ICCV 2023)
Aligning pretrained language models with instruction data generated by themselves.
Instruct-tune LLaMA on consumer hardware with shareGPT data
ChatGLM-6B 指令学习|指令数据|Instruct
Run inference on replit-3B code instruct model using CPU
Interactive Jupyter Notebook Environment for using the GPT-3 Instruct API
#自然语言处理#A plug-and-play library for parameter-efficient-tuning (Delta Tuning)
#大语言模型#Instruction Tuning with GPT-4
Generate the WizardCoder Instruct from the CodeAlpaca
RAG (Retrievel Augmented Generation) implementation using the Mistral-7B-Instruct-v0.1