Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

SGLang is a fast serving framework for large language models and vision language models.

An unofficial https://bgm.tv ui first app client for Android and iOS, built with React Native. 一个无广告、以爱好为驱动、不以盈利为目的、专门做 ACG 的类似豆瓣的追番记录，bgm.tv 第三方客户端。为移动端重新设计，内置大量加强的网页端难以实现的功能，且提供了相当的自定义选项。 目前已适配 iOS / Android / WSA、mobile / 简单 pad、light / dark theme、移动端网页。

Mixture-of-Experts for Large Vision-Language Models

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

A toolkit for inference and evaluation of 'mixtral-8x7b-32kseqlen' from Mistral AI

Tutel MoE: An Optimized Mixture-of-Experts Implementation

中文Mixtral混合专家大模型（Chinese Mixtral MoE LLMs）

MindSpore online courses: Step into LLM

😘 A pinterest-style layout site, shows illusts on pixiv.net order by popularity.

Official LISTEN.moe Android app

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

A libGDX cross-platform API for InApp purchasing.

ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward experts. We released a collection of ModuleFormer-based Language Models (MoLM) ranging in scale from 4 billion to 8 billion parameters.

MoH: Multi-Head Attention as Mixture-of-Head Attention

MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts

A lovely Page Wizard, is responsible for selling moe.

Official LISTEN.moe Desktop Client