排行榜類別收藏

首頁

Large Language Models (LLMs)

DeepSeek v3

打開網站

0 評論

0 收藏

簡介:

DeepSeek v3 represents a major breakthrough in AI language modeling with 671B total parameters and 37B activations per token. built on the innovative Mixture-of-Experts (MoE) architecture, DeepSeek v3 delivers state-of-the-art performance across a wide range of benchmarks while maintaining efficient inference.

收錄於:

二月 10 2025

社交媒體 & 郵箱:

Website

Large Language Models (LLMs)

DeepSeek v3 評論 (0)

您會推薦 DeepSeek v3 嗎？留下您的評論

登入後評論

DeepSeek v3 工具資訊

什麼是 DeepSeek v3?

DeepSeek v3 sets a new standard for AI language modeling by using 14.8 trillion distinct tokens for training and incorporating advanced techniques such as multi-token prediction. The model supports a 128K context window and delivers performance comparable to leading closed-source models while maintaining efficient inference.

如何使用 DeepSeek v3？

How to Use DeepSeek v3 1.Choose Your Task 2.Input Your Query 3.Get AI-Powered Results

DeepSeek v3 的核心功能

Advanced MoE Architecture

Extensive Training

Superior Performance

Efficient Inference

Long Context Window

Multi-Token Prediction

DeepSeek v3 的使用案例

Text generation

Mathematical reasoning

Code completion

來自 DeepSeek v3 的常見問題

What makes DeepSeek v3 unique?: DeepSeek v3 combines a massive 671B parameter MoE architecture with innovative features like Multi-Token Prediction and auxiliary-loss-free load balancing, delivering exceptional performance across various tasks.
How can I access DeepSeek v3?: DeepSeek v3 is available through our online demo platform and API services. You can also download the model weights for local deployment.
What tasks does DeepSeek v3 excel at?: DeepSeek v3 demonstrates superior performance in mathematics, coding, reasoning, and multilingual tasks, consistently achieving top results in benchmark evaluations.
What are the hardware requirements for running DeepSeek v3?: DeepSeek v3 supports various deployment options including NVIDIA GPUs, AMD GPUs, and Huawei Ascend NPUs, with multiple framework options for optimal performance.
What frameworks are supported for DeepSeek v3 deployment?: DeepSeek v3 can be deployed using multiple frameworks including SGLang, LMDeploy, TensorRT-LLM, vLLM, and supports both FP8 and BF16 inference modes.