Moonlight-16B-A3B

Moonlight-16B-A3B is a 16B parameter Mixture-of-Experts (MoE) model trained with the Muon optimizer for efficient language generation.

CommonProductProductivityLanguage ModelOptimizer

Visit

Moonlight-16B-A3B is a large-scale language model developed by Moonshot AI, trained using the advanced Muon optimizer. By optimizing training efficiency and performance, this model significantly enhances language generation capabilities. Key advantages include an efficient optimizer design, fewer training FLOPs, and superior performance. The model is suitable for scenarios requiring efficient language generation, such as natural language processing, code generation, and multilingual dialogue. Its open-source implementation and pre-trained models provide powerful tools for researchers and developers.

Product Finder

Product Submit

AI Models Finder

MCP Servers

MCP Client

MCP Inspector

Case Tutorials

Latest AI News

AI Daily Brief

Moonlight-16B-A3B

Moonlight-16B-A3B Visit Over Time

Moonlight-16B-A3B Visit Trend

Moonlight-16B-A3B Visit Geography

Moonlight-16B-A3B Traffic Sources

Moonlight-16B-A3B Alternatives

Moonlight-16B-A3B — Moonlight-16B-A3B is a 16B parameter Mixture-of-Experts (MoE) model trained with the Muon optimizer for efficient language generation.

Tencent-Hunyuan-Large — Industry-leading open-source large mixture-of-experts model

DeepSeek-V2.5-1210 — High-performance mixture of experts language model

Yuan2.0-M32-hf-int8 — High-Performance Mixture of Experts Language Model

DeepSeek-VL2-Tiny — Advanced Large-scale Mixture of Experts Visual Language Model

Aria — Multimodal Native Mixture of Experts Model

Yuan2-M32-hf-int4 — High-performance mixture of experts language model

DeepEP — DeepEP is a high-performance communication library for Mixture-of-Experts (MoE) and Expert Parallel (EP) communication.

Moonlight — Moonlight is a 16B parameter Mixture of Experts (MoE) model trained with the Muon optimizer, delivering exceptional performance.

DeepSeek-VL2-Small — An advanced large-scale mixture of experts visual language model.

Aria-Base-64K — Multimodal native Mixture-of-Experts model

DeepSeek-V3 — A Mixture-of-Experts language model with 671 billion parameters.

Grok-1 — The open-sourced Grok-1 model has 314 billion parameters.

Expert Specialized Fine-Tuning — A professional fine-tuning tool for customizing large language models.

OLMoE — An open-source expert mixture language model with 130 million active parameters.

DeepSeek-VL2 — An advanced multimodal understanding model that integrates visual and linguistic capabilities.

Trustworthy Language Model (TLM) Playground — Try Cleanlab's Trustworthy Language Model (TLM) in your browser

GRIN-MoE — High-performance, low-resource consumption hybrid expert model

RWKV — The new generation of large-scale model architecture, surpassing transformer.

Qwen1.5-MoE-A2.7B — A large-scale MoE (Mixture of Experts) language model whose performance rivals that of 70 billion parameter models.

Llama-3-Patronus-Lynx-8B-Instruct-Q4_K_M-GGUF — A quantized large language model based on a specific architecture, suitable for natural language processing tasks.

OpenCompass 2.0 Large Language Model Leaderboard — A real-time large language model leaderboard that provides comprehensive performance assessments.

BlueLM Large Model — An independently developed intelligent language understanding model by vivo

Llama-3.1-Nemotron-51B — An efficient and accurate AI language model

Gurobi Optimizer — Gurobi Optimizer - Software for Solving Optimization Problems

Skywork-Reward-Gemma-2-27B — An advanced reward model based on the Gemma-2-27B architecture

MobileLLM — Optimized small language model suitable for mobile devices

Architecture Insights — Weekly Free AI News Digest

XVERSE-MoE-A36B — A large multilingual language model that supports text generation across various fields.

Self-Rewarding Language Models — Language Model Self-Reward Training