[Arxiv 2024] Official Implementation of the paper: "InstrAug: Automatic Instruction Augmentation for Multimodal Instruction Fine-tuning"

Collect and maintain high quality instruction finetune datasets in different domain and languages. 搜集並維護高品質各專業領域及語言的指令微調資料集

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

Awesome Instruction Editing. Image and Media Editing with Human Instructions. Instruction-Guided Image and Media Editing.

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

Code for the Paper "Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics"

The repo collects model and data projects for instruction following large language models.

A better Alpaca Model Trained with Less Data (only 9k instructions of the original set)

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

🌱 梦想家(DreamerGPT)：中文大语言模型指令精调

An benchmark for evaluating the capabilities of large vision-language models (LVLMs)

Instruction Following Agents with Multimodal Transforemrs

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.

WangChanGLM 🐘 - The Multilingual Instruction-Following Model

Code for "FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models (ACL 2024)"

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

[ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

Code and models of MOCA (Modular Object-Centric Approach) proposed in "Factorizing Perception and Policy for Interactive Instruction Following" (ICCV 2021). We address the task of long horizon instruction following with a modular architecture that decouples a task into visual perception and action policy prediction.

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.

Finetune LLaMA-7B with Chinese instruction datasets