Popular GitHub Repositories for Instruction Following

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)

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)

Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).

[NeurIPS'23] "MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing".

[EMNLP 2023] Lion: Adversarial Distillation of Proprietary Large Language Models

Finetune LLaMA-7B with Chinese instruction datasets

EditWorld: Simulating World Dynamics for Instruction-Following Image Editing

[ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models

WangChanGLM ? -?The Multilingual Instruction-Following Model

Awesome Multimodal Assistant is a curated list of multimodal chatbots/conversational assistants that utilize various modes of interaction, such as text, speech, images, and videos, to provide a seamless and versatile user experience.

[CVPR 2025] UniGoal: Towards Universal Zero-shot Goal-oriented Navigation

Instruction Following Agents with Multimodal Transforemrs

? 梦想家(DreamerGPT)：中文大语言模型指令精调

This repo contains a list of channels and sources from where LLMs should be learned

The home of Stambecco ?: Italian Instruction-following LLaMA Model

This is the official repo for Contrastive Vision-Language Alignment Makes Efficient Instruction Learner.