CodeQwen

CodeQwen

Alibaba
Olmo 3

Olmo 3

Ai2
+
+

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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

Olmo 3 is a fully open model family spanning 7 billion and 32 billion parameter variants that delivers not only high-performing base, reasoning, instruction, and reinforcement-learning models, but also exposure of the entire model flow, including raw training data, intermediate checkpoints, training code, long-context support (65,536 token window), and provenance tooling. Starting with the Dolma 3 dataset (≈9 trillion tokens) and its disciplined mix of web text, scientific PDFs, code, and long-form documents, the pre-training, mid-training, and long-context phases shape the base models, which are then post-trained via supervised fine-tuning, direct preference optimisation, and RL with verifiable rewards to yield the Think and Instruct variants. The 32 B Think model is described as the strongest fully open reasoning model to date, competitively close to closed-weight peers in math, code, and complex 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

Audience

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

Audience

AI researchers, developers and enterprises needing a tool offering foundation models to inspect, fine-tune or deploy with full provenance and auditability

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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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

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

Company Information

Ai2
Founded: 2014
United States
allenai.org/blog/olmo3

Alternatives

CodeGemma

CodeGemma

Google

Alternatives

Qwen3-Max

Qwen3-Max

Alibaba
Qwen-7B

Qwen-7B

Alibaba
MiniMax M1

MiniMax M1

MiniMax
Qwen2

Qwen2

Alibaba
Qwen2.5-Max

Qwen2.5-Max

Alibaba
DeepSeek-V3.2

DeepSeek-V3.2

DeepSeek
Qwen3-Max

Qwen3-Max

Alibaba
CodeGemma

CodeGemma

Google

Categories

Categories

Integrations

Alibaba Cloud
AtCoder
Code Llama
Codeforces
Conda
DeepSeek Coder
GPT-3.5
GPT-4
Hugging Face
LangChain
LeetCode
LlamaIndex
ModelScope
Ollama
PyTorch
Python
Qwen Chat
StarCoder

Integrations

Alibaba Cloud
AtCoder
Code Llama
Codeforces
Conda
DeepSeek Coder
GPT-3.5
GPT-4
Hugging Face
LangChain
LeetCode
LlamaIndex
ModelScope
Ollama
PyTorch
Python
Qwen Chat
StarCoder
Claim CodeQwen and update features and information
Claim CodeQwen and update features and information
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Claim Olmo 3 and update features and information