CodeQwen

CodeQwen

Alibaba
Codestral Mamba

Codestral Mamba

Mistral AI
+
+

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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

As a tribute to Cleopatra, whose glorious destiny ended in tragic snake circumstances, we are proud to release Codestral Mamba, a Mamba2 language model specialized in code generation, available under an Apache 2.0 license. Codestral Mamba is another step in our effort to study and provide new architectures. It is available for free use, modification, and distribution, and we hope it will open new perspectives in architecture research. Mamba models offer the advantage of linear time inference and the theoretical ability to model sequences of infinite length. It allows users to engage with the model extensively with quick responses, irrespective of the input length. This efficiency is especially relevant for code productivity use cases, this is why we trained this model with advanced code and reasoning capabilities, enabling it to perform on par with SOTA transformer-based models.

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

Developers and anyone in search of an AI language model to generate code

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

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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

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

Mistral AI
France
mistral.ai/news/codestral-mamba/

Alternatives

CodeGemma

CodeGemma

Google

Alternatives

Mistral Code

Mistral Code

Mistral AI
Qwen-7B

Qwen-7B

Alibaba
Falcon Mamba 7B

Falcon Mamba 7B

Technology Innovation Institute (TII)
Qwen2

Qwen2

Alibaba
Qwen2.5-Max

Qwen2.5-Max

Alibaba
Codestral

Codestral

Mistral AI
Qwen3-Max

Qwen3-Max

Alibaba
Jamba

Jamba

AI21 Labs

Categories

Categories

Integrations

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AI-FLOW
Alibaba Cloud
AnythingLLM
CSS
EvalsOne
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Groq
HoneyHive
HumanLayer
Lewis
ModelScope
OpenPipe
PHP
PromptPal
R
TypeScript
Visual Basic
Yaseen AI

Integrations

Hugging Face
AI-FLOW
Alibaba Cloud
AnythingLLM
CSS
EvalsOne
GaiaNet
Graydient AI
Groq
HoneyHive
HumanLayer
Lewis
ModelScope
OpenPipe
PHP
PromptPal
R
TypeScript
Visual Basic
Yaseen AI
Claim CodeQwen and update features and information
Claim CodeQwen and update features and information
Claim Codestral Mamba and update features and information
Claim Codestral Mamba and update features and information