Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    967 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    26 Ratings
    Company Website
  • Couchbase Reviews & Ratings
    405 Ratings
    Company Website
  • AdRem NetCrunch Reviews & Ratings
    158 Ratings
    Company Website
  • RunPod Reviews & Ratings
    211 Ratings
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    365 Ratings
    Company Website
  • Enterprise Bot Reviews & Ratings
    23 Ratings
    Company Website
  • ActiveBatch Workload Automation Reviews & Ratings
    373 Ratings
    Company Website
  • Pipedrive Reviews & Ratings
    10,386 Ratings
    Company Website

What is Llama 3.1?

We are excited to unveil an open-source AI model that offers the ability to be fine-tuned, distilled, and deployed across a wide range of platforms. Our latest instruction-tuned model is available in three different sizes: 8B, 70B, and 405B, allowing you to select an option that best fits your unique needs. The open ecosystem we provide accelerates your development journey with a variety of customized product offerings tailored to meet your specific project requirements. You can choose between real-time inference and batch inference services, depending on what your project requires, giving you added flexibility to optimize performance. Furthermore, downloading model weights can significantly enhance cost efficiency per token while you fine-tune the model for your application. To further improve performance, you can leverage synthetic data and seamlessly deploy your solutions either on-premises or in the cloud. By taking advantage of Llama system components, you can also expand the model's capabilities through the use of zero-shot tools and retrieval-augmented generation (RAG), promoting more agentic behaviors in your applications. Utilizing the extensive 405B high-quality data enables you to fine-tune specialized models that cater specifically to various use cases, ensuring that your applications function at their best. In conclusion, this empowers developers to craft innovative solutions that not only meet efficiency standards but also drive effectiveness in their respective domains, leading to a significant impact on the technology landscape.

What is DeepSeek-Coder-V2?

DeepSeek-Coder-V2 represents an innovative open-source model specifically designed to excel in programming and mathematical reasoning challenges. With its advanced Mixture-of-Experts (MoE) architecture, it features an impressive total of 236 billion parameters, activating 21 billion per token, which greatly enhances its processing efficiency and overall effectiveness. The model has been trained on an extensive dataset containing 6 trillion tokens, significantly boosting its capabilities in both coding generation and solving mathematical problems. Supporting more than 300 programming languages, DeepSeek-Coder-V2 has emerged as a leader in performance across various benchmarks, consistently surpassing other models in the field. It is available in multiple variants, including DeepSeek-Coder-V2-Instruct, tailored for tasks based on instructions, and DeepSeek-Coder-V2-Base, which serves well for general text generation purposes. Moreover, lightweight options like DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct are specifically designed for environments that demand reduced computational resources. This range of offerings allows developers to choose the model that best fits their unique requirements, ultimately establishing DeepSeek-Coder-V2 as a highly adaptable tool in the ever-evolving programming ecosystem. As technology advances, its role in streamlining coding processes is likely to become even more significant.

Media

Media

Integrations Supported

AICamp
Amazon Bedrock
BlueFlame AI
CSS
Database Mart
F#
Gopher
HumanLayer
Julia
LlamaCoder
Meta AI
Microsoft Foundry Agent Service
Narrow AI
Not Diamond
PHP
R
Requesty
RunPod
You.com
webAI

Integrations Supported

AICamp
Amazon Bedrock
BlueFlame AI
CSS
Database Mart
F#
Gopher
HumanLayer
Julia
LlamaCoder
Meta AI
Microsoft Foundry Agent Service
Narrow AI
Not Diamond
PHP
R
Requesty
RunPod
You.com
webAI

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

llama.meta.com

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

www.deepseek.com

Popular Alternatives

Popular Alternatives

DeepCoder Reviews & Ratings

DeepCoder

Agentica Project
Athene-V2 Reviews & Ratings

Athene-V2

Nexusflow
DeepSWE Reviews & Ratings

DeepSWE

Agentica Project
DeepSeek Coder Reviews & Ratings

DeepSeek Coder

DeepSeek
StarCoder Reviews & Ratings

StarCoder

BigCode