Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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.

Description

The Mixtral 8x7B model is an advanced sparse mixture of experts (SMoE) system that boasts open weights and is released under the Apache 2.0 license. This model demonstrates superior performance compared to Llama 2 70B across various benchmarks while achieving inference speeds that are six times faster. Recognized as the leading open-weight model with a flexible licensing framework, Mixtral also excels in terms of cost-efficiency and performance. Notably, it competes with and often surpasses GPT-3.5 in numerous established benchmarks, highlighting its significance in the field. Its combination of accessibility, speed, and effectiveness makes it a compelling choice for developers seeking high-performing AI solutions.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AI-FLOW No 
AI/ML API No 
AnythingLLM No 
C# No 
Continue No 
Empler No 
Go No 
Mammouth AI No 
Memo AI No 
Microsoft Foundry Agent Service No 
Nutanix Enterprise AI No 
PI Prompts No 
PostgresML No 
Ragas No 
Ruby No 
Superinterface No 
Toolmark No 
Tune Studio No 
Unify AI No 
Visual Basic No 

Integrations

AI-FLOW Yes 
AI/ML API Yes 
AnythingLLM Yes 
C# Yes 
Continue Yes 
Empler Yes 
Go Yes 
Mammouth AI Yes 
Memo AI Yes 
Microsoft Foundry Agent Service Yes 
Nutanix Enterprise AI Yes 
PI Prompts Yes 
PostgresML Yes 
Ragas Yes 
Ruby Yes 
Superinterface Yes 
Toolmark Yes 
Tune Studio Yes 
Unify AI Yes 
Visual Basic Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DeepSeek

Founded

2023

Country

China

Website

deepseek.com

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

mistral.ai/news/mixtral-of-experts/

Alternatives

Alternatives

Command R Reviews

Command R

Cohere AI
DeepSeek-V4 Reviews

DeepSeek-V4

DeepSeek
Command R+ Reviews

Command R+

Cohere AI
Mistral Large 3 Reviews

Mistral Large 3

Mistral AI
DeepSeek Coder Reviews

DeepSeek Coder

DeepSeek