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About

Code Llama is a large language model (LLM) that can use text prompts to generate code. Code Llama is state-of-the-art for publicly available LLMs on code tasks, and has the potential to make workflows faster and more efficient for current developers and lower the barrier to entry for people who are learning to code. Code Llama has the potential to be used as a productivity and educational tool to help programmers write more robust, well-documented software. Code Llama is a state-of-the-art LLM capable of generating code, and natural language about code, from both code and natural language prompts. Code Llama is free for research and commercial use. Code Llama is built on top of Llama 2 and is available in three models: Code Llama, the foundational code model; Codel Llama - Python specialized for Python; and Code Llama - Instruct, which is fine-tuned for understanding natural language instructions.

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

Users interested in a powerful, free, open source large language model for coding

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

Meta
Founded: 2004
United States
ai.meta.com/blog/code-llama-large-language-model-coding/

Company Information

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

Alternatives

CodeGemma

CodeGemma

Google

Alternatives

CodeQwen

CodeQwen

Alibaba
DeepSeek Coder

DeepSeek Coder

DeepSeek
Codestral Mamba

Codestral Mamba

Mistral AI
Qwen2.5

Qwen2.5

Alibaba
Codestral

Codestral

Mistral AI
Qwen2

Qwen2

Alibaba
StarCoder

StarCoder

BigCode
StarCoder

StarCoder

BigCode

Categories

Categories

Integrations

BLACKBOX AI
C++
Clojure
Deep Infra
Elixir
F#
Go
Hugging Face
Hyperbolic
Julia
Kotlin
Llama 3.1
Llama 3.2
Llama 3.3
ModelScope
PHP
Pipeshift
SQL
TypeScript
Visual Basic

Integrations

BLACKBOX AI
C++
Clojure
Deep Infra
Elixir
F#
Go
Hugging Face
Hyperbolic
Julia
Kotlin
Llama 3.1
Llama 3.2
Llama 3.3
ModelScope
PHP
Pipeshift
SQL
TypeScript
Visual Basic
Claim Code Llama and update features and information
Claim Code Llama and update features and information
Claim Qwen2.5-Coder and update features and information
Claim Qwen2.5-Coder and update features and information