DeepSeek-V2

DeepSeek-V2

DeepSeek
Qwen2.5-1M

Qwen2.5-1M

Alibaba
+
+

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About

DeepSeek-V2 is a state-of-the-art Mixture-of-Experts (MoE) language model introduced by DeepSeek-AI, characterized by its economical training and efficient inference capabilities. With a total of 236 billion parameters, of which only 21 billion are active per token, it supports a context length of up to 128K tokens. DeepSeek-V2 employs innovative architectures like Multi-head Latent Attention (MLA) for efficient inference by compressing the Key-Value (KV) cache and DeepSeekMoE for cost-effective training through sparse computation. This model significantly outperforms its predecessor, DeepSeek 67B, by saving 42.5% in training costs, reducing the KV cache by 93.3%, and enhancing generation throughput by 5.76 times. Pretrained on an 8.1 trillion token corpus, DeepSeek-V2 excels in language understanding, coding, and reasoning tasks, making it a top-tier performer among open-source models.

About

Qwen2.5-1M is an open-source language model developed by the Qwen team, designed to handle context lengths of up to one million tokens. This release includes two model variants, Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M, marking the first time Qwen models have been upgraded to support such extensive context lengths. To facilitate efficient deployment, the team has also open-sourced an inference framework based on vLLM, integrated with sparse attention methods, enabling processing of 1M-token inputs with a 3x to 7x speed improvement. Comprehensive technical details, including design insights and ablation experiments, are available in the accompanying technical report.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI researchers, developers, and tech enthusiasts seeking a high-performance, cost-efficient open-source language model for advanced natural language processing, coding, and reasoning tasks

Audience

AI researchers, developers, and organizations seeking an open-source large language model with extended context capabilities for advanced natural language processing tasks

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DeepSeek
Founded: 2023
China
deepseek.com

Company Information

Alibaba
Founded: 1999
China
qwenlm.github.io/blog/qwen2.5-1m/

Alternatives

DeepSeek R2

DeepSeek R2

DeepSeek

Alternatives

Qwen2.5-Max

Qwen2.5-Max

Alibaba
DeepSeek-V3.2

DeepSeek-V3.2

DeepSeek
CodeQwen

CodeQwen

Alibaba
Qwen3.5-Plus

Qwen3.5-Plus

Alibaba
Qwen3-Max

Qwen3-Max

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
C#
C++
CSS
Elixir
Go
HTML
Hugging Face
Java
JavaScript
Kotlin
LM-Kit.NET
ModelScope
PHP
Python
Qwen Chat
R
Ruby
Rust
Scala

Integrations

Alibaba Cloud
C#
C++
CSS
Elixir
Go
HTML
Hugging Face
Java
JavaScript
Kotlin
LM-Kit.NET
ModelScope
PHP
Python
Qwen Chat
R
Ruby
Rust
Scala
Claim DeepSeek-V2 and update features and information
Claim DeepSeek-V2 and update features and information
Claim Qwen2.5-1M and update features and information
Claim Qwen2.5-1M and update features and information