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About

We introduce the Granite series of decoder-only code models for code generative tasks (e.g., fixing bugs, explaining code, documenting code), trained with code written in 116 programming languages. A comprehensive evaluation of the Granite Code model family on diverse tasks demonstrates that our models consistently reach state-of-the-art performance among available open source code LLMs. The key advantages of Granite Code models include: All-rounder Code LLM: Granite Code models achieve competitive or state-of-the-art performance on different kinds of code-related tasks, including code generation, explanation, fixing, editing, translation, and more. Demonstrating their ability to solve diverse coding tasks. Trustworthy Enterprise-Grade LLM: All our models are trained on license-permissible data collected following IBM's AI Ethics principles and guided by IBM’s Corporate Legal team for trustworthy enterprise usage.

About

Qwen2.5-Coder-32B-Instruct has become the current SOTA open source code model, matching the coding capabilities of GPT-4o. While demonstrating strong and comprehensive coding abilities, it also possesses good general and mathematical skills. As of now, Qwen2.5-Coder has covered six mainstream model sizes to meet the needs of different developers. We explore the practicality of Qwen2.5-Coder in two scenarios, including code assistants and artifacts, with some examples showcasing the potential applications of Qwen2.5-Coder in real-world scenarios. Qwen2.5-Coder-32B-Instruct, as the flagship model of this open source release, has achieved the best performance among open source models on multiple popular code generation benchmarks and has competitive performance with GPT-4o. Code repair is an important programming skill. Qwen2.5-Coder-32B-Instruct can help users fix errors in their code, making programming more efficient.

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 interested in a powerful AI coding model

Audience

Researchers and anyone wanting a solution to streamline and automate their tasks with AI

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

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

IBM
Founded: 1911
United States
www.ibm.com/granite

Company Information

Alibaba
Founded: 1999
China
qwenlm.github.io/blog/qwen2.5-coder-family/

Alternatives

Alternatives

DeepCoder

DeepCoder

Agentica Project
CodeQwen

CodeQwen

Alibaba
DeepSeek Coder

DeepSeek Coder

DeepSeek
Codestral

Codestral

Mistral AI
Granite Risk Management

Granite Risk Management

Granite Partners
Qwen2.5-1M

Qwen2.5-1M

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
BLACKBOX AI
C
C#
Clojure
Elixir
F#
Go
HTML
Hyperbolic
Julia
Kotlin
ModelScope
R
Ruby
Rust
SQL
Scala
TypeScript
Visual Basic

Integrations

Alibaba Cloud
BLACKBOX AI
C
C#
Clojure
Elixir
F#
Go
HTML
Hyperbolic
Julia
Kotlin
ModelScope
R
Ruby
Rust
SQL
Scala
TypeScript
Visual Basic
Claim Granite Code and update features and information
Claim Granite Code and update features and information
Claim Qwen2.5-Coder and update features and information
Claim Qwen2.5-Coder and update features and information