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About

DeepSeek-Coder-V2 is an open source code language model designed to excel in programming and mathematical reasoning tasks. It features a Mixture-of-Experts (MoE) architecture with 236 billion total parameters and 21 billion activated parameters per token, enabling efficient processing and high performance. The model was trained on an extensive dataset of 6 trillion tokens, enhancing its capabilities in code generation and mathematical problem-solving. DeepSeek-Coder-V2 supports over 300 programming languages and has demonstrated superior performance on benchmarks such surpassing other models. It is available in multiple variants, including DeepSeek-Coder-V2-Instruct, optimized for instruction-based tasks; DeepSeek-Coder-V2-Base, suitable for general text generation; and lightweight versions like DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct, designed for environments with limited computational resources.

About

North Mini Code is Cohere’s first agentic coding model for developers and the inaugural member of its next generation of powerful models. Small, efficient, and open-source, it is built for the sovereign developer ecosystem and designed to deliver strong software development performance without requiring extensive hardware. North Mini Code is a mixture-of-experts model with 30B total parameters and 3B active parameters, giving developers access to agentic coding capabilities in a compact and efficient form. The model is optimized for code generation, agentic software engineering, and terminal tasks, with a 256K total context length and up to 64K maximum generation. It is built for real-world developer workflows, including understanding and orchestrating sub-agents, mapping system architecture, running code reviews, and supporting coding agents that need to reason through complex software tasks.

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

Developers seeking a high-performance, open-source model for advanced code generation and mathematical reasoning tasks

Audience

Developers, coding-agent builders, and engineering teams wanting a model for code generation, terminal tasks, architecture reasoning, code review, and locally controlled development workflows

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

No information available.
Free Version
Free Trial

Pricing

No information available.
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

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

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
www.deepseek.com

Company Information

Cohere
Founded: 2019
Canada
cohere.com/blog/north-mini-code

Alternatives

DeepCoder

DeepCoder

Agentica Project

Alternatives

DeepSWE

DeepSWE

Agentica Project
DeepSeek Coder

DeepSeek Coder

DeepSeek
Devstral Small 2

Devstral Small 2

Mistral AI
StarCoder

StarCoder

BigCode
Kimi K2

Kimi K2

Moonshot AI
DeepSeekMath

DeepSeekMath

DeepSeek

Categories

Categories

Integrations

C
C#
C++
CSS
Elixir
F#
Go
HTML
Java
Julia
Kotlin
PHP
Python
R
Ruby
Rust
SQL
Scala
TypeScript
Visual Basic

Integrations

C
C#
C++
CSS
Elixir
F#
Go
HTML
Java
Julia
Kotlin
PHP
Python
R
Ruby
Rust
SQL
Scala
TypeScript
Visual Basic
Claim DeepSeek-Coder-V2 and update features and information
Claim DeepSeek-Coder-V2 and update features and information
Claim North Mini Code and update features and information
Claim North Mini Code and update features and information