DeepSeek V3: A Powerful and Efficient Large Language Model
DeepSeek V3 is a cutting-edge Mixture-of-Experts (MoE) language model with 671 billion parameters, designed for high performance and efficiency in various tasks.
Multi-head Latent Attention (MLA) and DeepSeekMoE
Utilizes MLA and DeepSeekMoE architectures for enhanced efficiency and performance.
Efficient Training
Employs FP8 mixed precision training and algorithm-framework-hardware co-design for efficient cross-node MoE training. Also uses Multi-Token Prediction.
Stable Training Process
The training process was stable, requiring 2.788M H800 GPU hours.
Large Context Window
Supports a 128K context window, enabling it to process and understand extensive text inputs.
High Performance
Outperforms other open-source models and rivals leading closed-source models (like GPT-4o and Claude-3.5-Sonnet) across various benchmarks in mathematics, coding, reasoning, and multilingual tasks.
Versatile Functionality
Capable of code generation and modification, web searching, complex problem-solving, translation, and essay writing.
Flexible Deployment
Supports deployment using NVIDIA GPUs, AMD GPUs, and Huawei Ascend NPUs, with multiple framework options like SGLang, LMDeploy, TensorRT-LLM, and vLLM. Supports FP8 and BF16 inference.
Code Generation & Modification
Assists developers by generating and modifying code based on natural language descriptions.
Web Searching
Integrates web search capabilities to provide up-to-date information and context.
Complex Problem-Solving
Tackles complex reasoning and problem-solving tasks across various domains.
Translation & Essay Writing
Performs high-quality language translation and assists in writing essays and other long-form content.
Experience the features of DeepSeek V3
