DeepSeek-V3

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

ChineseSelectionProductivityNatural Language ProcessingDeep Learning

DeepSeek-V3 is a powerful Mixture-of-Experts (MoE) language model featuring a total of 671 billion parameters, activating 37 billion parameters at a time. It utilizes the Multi-head Latent Attention (MLA) and DeepSeekMoE architecture, which were thoroughly validated in DeepSeek-V2. Furthermore, DeepSeek-V3 introduces a novel load balancing strategy without auxiliary losses and establishes multiple-token prediction training objectives for enhanced performance. It has been pre-trained on 14.8 trillion high-quality tokens, followed by supervised fine-tuning and reinforcement learning stages to fully leverage its capabilities. Comprehensive evaluations demonstrate that DeepSeek-V3 outperforms other open-source models, achieving performance on par with leading proprietary models. Despite its outstanding performance, the complete training process of DeepSeek-V3 requires only 2.788 million H800 GPU hours, with a highly stable training environment.

Product Finder

Product Submit

AI Models Finder

MCP Servers

MCP Client

MCP Inspector

Case Tutorials

Latest AI News

AI Daily Brief

DeepSeek-V3

DeepSeek-V3 Visit Over Time

DeepSeek-V3 Visit Trend

DeepSeek-V3 Visit Geography

DeepSeek-V3 Traffic Sources

DeepSeek-V3 Alternatives

recurrent-pretraining — Pretraining code for large-scale deep recurrent language models, capable of running on 4096 AMD GPUs.

DiT-MoE — Large-scale Parameter Diffusion Transformer Model

Tülu 3 405B — Tülu 3 405B is a large-scale open-source language model enhanced through reinforcement learning.

Vary — Visual Vocabulary Expansion for Large-Scale Visual Language Models

LLMs-from-scratch — Deep dive into the inner workings of large language models.

MoE-LLaVA — An expert mixture model based on large-scale vision-language models

Models Table — A comprehensive list and information about large language models

Aphrodite Engine — PygmalionAI's large-scale inference engine

AIM — Pre-training of Large-Scale Autoregressive Image Models

persona-hub — Large-scale synthetic dataset, empowering personalized research

Understanding Deep Learning — Deep understanding of the principles and applications of deep learning

DiffusionRL — Large-scale Reinforcement Learning for Diffusion Models

VSP-LLM — A framework that combines Visual Speech Processing with Large Language Models

LLM Maybe LongLM — Extends the context window of large language models

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

BASE TTS — Amazon's Large-scale Voice Synthesis Model

Large World Models — Large World Models: Understanding Video and Language

ml-mdm — Efficiently trains high-quality text-to-image diffusion models

Gemma-2B-10M — The Gemma 2B model supports 10M sequence length, optimizes memory usage, and is suitable for large-scale language model applications.

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.

Sonus-1 — Sonus-1: A New Era of Large Language Models (LLMs)

OLMo 2 7B — A large language model with 7 billion parameters, enhancing natural language processing capabilities.

GLM-4-32B — A powerful language model supporting various natural language processing tasks.

Florence-VL — Enhancement tool for visual language models, combining generative visual encoders and deep breadth fusion technology.

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.

MiLM-6B — A large-scale pre-trained language model developed by Xiaomi with a parameter scale of 64 billion.

d1 — Improving the reasoning capabilities of diffusion large language models using reinforcement learning.

MedTrinity-25M — A large-scale multimodal medical dataset

RoleLLM — Role-playing framework for large language models