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deepseek-v3-2

deepseek-v3-2

AI language model supporting natural language understanding, code generation, and mathematical reasoning

Knowledge BaseResearch ToolsDeveloper ToolsLarge Language Models (LLMs)Content GenerationProductivity ToolsWriting Assistant
deepseek-v3-2 screenshot
OverviewAlternatives

Monthly Visits

3.5K

Avg. Session Duration

0 min

Category Rank

#4130

Bounce Rate

0.4%

What is deepseek-v3-2?

DeepSeek V3 is a breakthrough AI language model built on a Mixture-of-Experts (MoE) architecture, featuring 671 billion total parameters with 37 billion activated per token, enabling highly efficient and scalable inference. Trained on 14.8 trillion high-quality tokens, it excels in natural language understanding, code generation, mathematical reasoning, and multilingual applications. The model incorporates advanced technologies such as multi-head latent attention and multi-token prediction, significantly improving accuracy and inference speed—up to 60 tokens per second, three times faster than its predecessor. DeepSeek V3 is fully open-source, supporting API access, local deployment, and operation across various hardware platforms, making it ideal for research, development, and commercial use cases.

Key Features of deepseek-v3-2?

Mixture-of-Experts Architecture
Employs multiple specialized neural networks with selective activation per token, optimizing resource utilization and enhancing performance.
High Parameter Count with Efficient Activation
Total of 671 billion parameters, with only 37 billion activated per token, achieving a balance between scale and computational efficiency.
Multi-Token Prediction
Capable of generating multiple tokens simultaneously, accelerating text generation and improving inference speed.
Multi-Head Latent Attention Mechanism
Enhanced attention mechanism that extracts key information multiple times, improving understanding and accuracy.
Ultra-Large-Scale Training Dataset
Trained on 14.8 trillion high-quality, diverse tokens, providing broad knowledge and strong reasoning capabilities.
Open Source and Flexible Deployment
Offers open-source weights and research papers, supporting API integration, on-premise deployment, and multiple hardware platforms including NVIDIA, AMD, and Huawei.

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DeepSeek V3 is an advanced AI large language model (LLM) built on a Mixture-of-Experts (MoE) architecture, with a total of 671 billion parameters, of which only 37 billion are activated per token, enabling efficient resource utilization and exceptional performance. The model is pre-trained on 14.8 trillion high-quality tokens, equipping it with strong capabilities in complex reasoning, programming, multilingual understanding, and 128K long-context processing. It incorporates innovative technologies such as Multi-head Latent Attention (MLA), multi-token prediction, and auxiliary-loss-free load balancing, achieving inference and training efficiency on par with leading proprietary models like GPT-4. DeepSeek V3 supports various deployment frameworks and hardware platforms, and can be accessed via API, web interface, or local deployment.

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