CodeQwen

CodeQwen

Alibaba
CodeT5

CodeT5

Salesforce
+
+

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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

Code for CodeT5, a new code-aware pre-trained encoder-decoder model. Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation. This is the official PyTorch implementation for the EMNLP 2021 paper from Salesforce Research. CodeT5-large-ntp-py is specially optimized for Python code generation tasks and employed as the foundation model for our CodeRL, yielding new SOTA results on the APPS Python competition-level program synthesis benchmark. This repo provides the code for reproducing the experiments in CodeT5. CodeT5 is a new pre-trained encoder-decoder model for programming languages, which is pre-trained on 8.35M functions in 8 programming languages (Python, Java, JavaScript, PHP, Ruby, Go, C, and C#). In total, it achieves state-of-the-art results on 14 sub-tasks in a code intelligence benchmark - CodeXGLUE. Generate code based on the natural language description.

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 users interested in a solution to generate, summarize, and autocomplete 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

No information available.
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

Salesforce
github.com/salesforce/CodeT5

Alternatives

CodeGemma

CodeGemma

Google

Alternatives

Codestral

Codestral

Mistral AI
Qwen-7B

Qwen-7B

Alibaba
StableCode

StableCode

Stability AI
Codestral

Codestral

Mistral AI
StarCoder

StarCoder

BigCode
CodeGeeX

CodeGeeX

AMiner
Qwen3

Qwen3

Alibaba

Categories

Categories

Integrations

Python
Alibaba Cloud
C
C#
Code Llama
Conda
DeepSeek Coder
GPT-3.5
GPT-4
Go
Hugging Face
Java
LangChain
LeetCode
LlamaIndex
Ollama
PHP
PyTorch
Ruby
StarCoder

Integrations

Python
Alibaba Cloud
C
C#
Code Llama
Conda
DeepSeek Coder
GPT-3.5
GPT-4
Go
Hugging Face
Java
LangChain
LeetCode
LlamaIndex
Ollama
PHP
PyTorch
Ruby
StarCoder
Claim CodeQwen and update features and information
Claim CodeQwen and update features and information
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