Nano vLLM

[ICLR 2024] Retrieval is Accurate Generation

Paper list for Efficient Reasoning.

Democratizing Reinforcement Learning for LLMs

verl: Volcano Engine Reinforcement Learning for LLMs

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

Inferflow is an efficient and highly configurable inference engine for large language models (LLMs).

[2024-ACL]: TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wildrounded Conversation

Source code of "Reasons to Reject? Aligning Language Models with Judgments"

[ICLR 2023] Codebase for Copy-Generator model, including an implementation of kNN-LM

Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型

Some useful tips for faiss

🐟 Code and models for the NeurIPS 2023 paper "Generating Images with Multimodal Language Models".

A large-scale 7B pretraining language model developed by BaiChuan-Inc.

[TLLM'23] PandaGPT: One Model To Instruction-Follow Them All

Machine-generated text detection in the wild (ACL 2024)

OpenAlpaca: A Fully Open-Source Instruction-Following Model Based On OpenLLaMA

Instruct-tune LLaMA on consumer hardware

This is a pytorch implementation of k-means clustering algorithm

contrastive decoding

The code of paper "Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation" published at NeurIPS 2022

A Unified Library for Parameter-Efficient and Modular Transfer Learning

[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

AMR Parsing via Graph-Sequence Iterative Inference