instruction-following

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.

Instruction-based prompts for generating and classifying text.

[ICLR'25] BigCodeBench: Benchmarking Code Generation Towards AGI

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

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.

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

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

[NeurIPS-2024] The offical Implementation of "Instruction-Guided Visual Masking"

[CVPR 2026 Main] MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation

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