#Instruction-following
Showing 18 of 18 repositories tagged #instruction-following, ranked by stars
Code and documentation to train Stanford's Alpaca models, and generate the data.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Must-read Papers on LLM Agents.
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
An Open-sourced Knowledgable Large Language Model Framework.
This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.
A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
PhoGPT: Generative Pre-training for Vietnamese (2023)
Instruction-based prompts for generating and classifying text.
[ICLR'25] BigCodeBench: Benchmarking Code Generation Towards AGI
EVE Series: Encoder-Free Vision-Language Models from BAAI
This is the official GitHub repository for our survey paper "Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models".
This framework works as a form of user/machine calibration, with a focus on user-context and user-intent, deconstructing your ideas logically from A to B to Z.
Finetune LLaMA-7B with Chinese instruction datasets
WangChanGLM 🐘 - The Multilingual Instruction-Following Model
This repo contains a list of channels and sources from where LLMs should be learned
A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following
The core repository of the elsciRL framework.