CodeQwen

CodeQwen

Alibaba
Llama 3

Llama 3

Meta
Qwen2

Qwen2

Alibaba
+

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About

CodeQwen is the code version of Qwen, the large language model series developed by the Qwen team, Alibaba Cloud. It is a transformer-based decoder-only language model pre-trained on a large amount of data of codes. Strong code generation capabilities and competitive performance across a series of benchmarks. Supporting long context understanding and generation with the context length of 64K tokens. CodeQwen supports 92 coding languages and provides excellent performance in text-to-SQL, bug fixes, etc. You can just write several lines of code with transformers to chat with CodeQwen. Essentially, we build the tokenizer and the model from pre-trained methods, and we use the generate method to perform chatting with the help of the chat template provided by the tokenizer. We apply the ChatML template for chat models following our previous practice. The model completes the code snippets according to the given prompts, without any additional formatting.

About

We’ve integrated Llama 3 into Meta AI, our intelligent assistant, that expands the ways people can get things done, create and connect with Meta AI. You can see first-hand the performance of Llama 3 by using Meta AI for coding tasks and problem solving. Whether you're developing agents, or other AI-powered applications, Llama 3 in both 8B and 70B will offer the capabilities and flexibility you need to develop your ideas. With the release of Llama 3, we’ve updated the Responsible Use Guide (RUG) to provide the most comprehensive information on responsible development with LLMs. Our system-centric approach includes updates to our trust and safety tools with Llama Guard 2, optimized to support the newly announced taxonomy published by MLCommons expanding its coverage to a more comprehensive set of safety categories, code shield, and Cybersec Eval 2.

About

Qwen2 is the large language model series developed by Qwen team, Alibaba Cloud. Qwen2 is a series of large language models developed by the Qwen team at Alibaba Cloud. It includes both base language models and instruction-tuned models, ranging from 0.5 billion to 72 billion parameters, and features both dense models and a Mixture-of-Experts model. The Qwen2 series is designed to surpass most previous open-weight models, including its predecessor Qwen1.5, and to compete with proprietary models across a broad spectrum of benchmarks in language understanding, generation, multilingual capabilities, coding, mathematics, and reasoning.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Anyone seeking an AI tool to improve their natural language understanding operations and text generation tasks

Audience

Anyone interested in a powerful open source large language model

Audience

AI developers interested in a powerful LLM

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Free Version
Free Trial

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

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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

Training

Documentation
Webinars
Live Online
In Person

Company Information

Alibaba
Founded: 1999
China
github.com/QwenLM/CodeQwen1.5

Company Information

Meta
Founded: 2004
United States
llama.meta.com

Company Information

Alibaba
Founded: 1999
China
github.com/QwenLM/Qwen2

Alternatives

CodeGemma

CodeGemma

Google

Alternatives

Alternatives

CodeQwen

CodeQwen

Alibaba
Qwen-7B

Qwen-7B

Alibaba
Codestral

Codestral

Mistral AI
Claude Haiku 3

Claude Haiku 3

Anthropic
Mathstral

Mathstral

Mistral AI
Qwen

Qwen

Alibaba
CodeGeeX

CodeGeeX

AMiner
Defense Llama

Defense Llama

Scale AI
Qwen-7B

Qwen-7B

Alibaba

Categories

Categories

Categories

Integrations

Python
Arcee-SuperNova
Azure Marketplace
BrandRank.AI
Coginiti
DataChain
Deasie
Entry Point AI
Fello AI
Hyperbolic
Kerlig
LeetCode
Mammouth AI
ModelScope
PHP
PromptPal
SSSModel
Simplismart
Tinker
Tune AI

Integrations

Python
Arcee-SuperNova
Azure Marketplace
BrandRank.AI
Coginiti
DataChain
Deasie
Entry Point AI
Fello AI
Hyperbolic
Kerlig
LeetCode
Mammouth AI
ModelScope
PHP
PromptPal
SSSModel
Simplismart
Tinker
Tune AI

Integrations

Python
Arcee-SuperNova
Azure Marketplace
BrandRank.AI
Coginiti
DataChain
Deasie
Entry Point AI
Fello AI
Hyperbolic
Kerlig
LeetCode
Mammouth AI
ModelScope
PHP
PromptPal
SSSModel
Simplismart
Tinker
Tune AI
Claim CodeQwen and update features and information
Claim CodeQwen and update features and information
Claim Llama 3 and update features and information
Claim Llama 3 and update features and information
Claim Qwen2 and update features and information
Claim Qwen2 and update features and information