CodeQwen

CodeQwen

Alibaba
Qwen-7B

Qwen-7B

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

Qwen-7B is the 7B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-7B is a Transformer-based large language model, which is pretrained on a large volume of data, including web texts, books, codes, etc. Additionally, based on the pretrained Qwen-7B, we release Qwen-7B-Chat, a large-model-based AI assistant, which is trained with alignment techniques. The features of the Qwen-7B series include: Trained with high-quality pretraining data. We have pretrained Qwen-7B on a self-constructed large-scale high-quality dataset of over 2.2 trillion tokens. The dataset includes plain texts and codes, and it covers a wide range of domains, including general domain data and professional domain data. Strong performance. In comparison with the models of the similar model size, we outperform the competitors on a series of benchmark datasets, which evaluates natural language understanding, mathematics, coding, etc. And more.

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

Large language model developers

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

Alibaba
Founded: 1999
China
github.com/QwenLM/Qwen-7B

Alternatives

CodeGemma

CodeGemma

Google

Alternatives

Athene-V2

Athene-V2

Nexusflow
Qwen-7B

Qwen-7B

Alibaba
ChatGLM

ChatGLM

Zhipu AI
Qwen2.5-Max

Qwen2.5-Max

Alibaba
Mistral 7B

Mistral 7B

Mistral AI
Qwen2

Qwen2

Alibaba
CodeQwen

CodeQwen

Alibaba
Qwen3

Qwen3

Alibaba
Qwen2

Qwen2

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
Hugging Face
ModelScope
Python
Qwen Chat
C
Code Llama
F#
Go
Julia
Kotlin
LeetCode
LlamaIndex
R
Rust
SQL
Scala
Sesterce
StarCoder
TypeScript

Integrations

Alibaba Cloud
Hugging Face
ModelScope
Python
Qwen Chat
C
Code Llama
F#
Go
Julia
Kotlin
LeetCode
LlamaIndex
R
Rust
SQL
Scala
Sesterce
StarCoder
TypeScript
Claim CodeQwen and update features and information
Claim CodeQwen and update features and information
Claim Qwen-7B and update features and information
Claim Qwen-7B and update features and information