DeepSeek-V2 Description

DeepSeek-V2 is a cutting-edge Mixture-of-Experts (MoE) language model developed by DeepSeek-AI, noted for its cost-effective training and high-efficiency inference features. It boasts an impressive total of 236 billion parameters, with only 21 billion active for each token, and is capable of handling a context length of up to 128K tokens. The model utilizes advanced architectures such as Multi-head Latent Attention (MLA) to optimize inference by minimizing the Key-Value (KV) cache and DeepSeekMoE to enable economical training through sparse computations. Compared to its predecessor, DeepSeek 67B, this model shows remarkable improvements, achieving a 42.5% reduction in training expenses, a 93.3% decrease in KV cache size, and a 5.76-fold increase in generation throughput. Trained on an extensive corpus of 8.1 trillion tokens, DeepSeek-V2 demonstrates exceptional capabilities in language comprehension, programming, and reasoning tasks, positioning it as one of the leading open-source models available today. Its innovative approach not only elevates its performance but also sets new benchmarks within the field of artificial intelligence.

Pricing

Pricing Starts At:
Free
Pricing Information:
Open source
Free Version:
Yes

Integrations

API:
Yes, DeepSeek-V2 has an API

Reviews

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Company Details

Company:
DeepSeek
Year Founded:
2023
Headquarters:
China
Website:
deepseek.com

Media

DeepSeek-V2 Screenshot 1
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Product Details

Platforms
Windows
Mac
Linux
On-Premises
Types of Training
Training Docs

DeepSeek-V2 Features and Options

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