An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
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Updated
Jun 23, 2024 - Python
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
EditWorld: Simulating World Dynamics for Instruction-Following Image Editing
BigCodeBench: A Better HumanEval
An Open-sourced Knowledgable Large Language Model Framework.
Is In-Context Learning Sufficient for Instruction Following in LLMs?
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
PhoGPT: Generative Pre-training for Vietnamese (2023)
Code and documentation to train Stanford's Alpaca models, and generate the data.
A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
Code for "Lion: Adversarial Distillation of Proprietary Large Language Models (EMNLP 2023)"
An benchmark for evaluating the capabilities of large vision-language models (LVLMs)
🌱 梦想家(DreamerGPT):中文大语言模型指令精调
Finetune LLaMA-7B with Chinese instruction datasets
Instruction Following Agents with Multimodal Transforemrs
Code for the Paper "Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics"
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