CodeQwen

CodeQwen

Alibaba
TimesFM-3

TimesFM-3

Google
+
+

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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

TimesFM-3 is a state-of-the-art time series foundation model designed for highly accurate multivariate forecasting in a single forward pass. The 330 million parameter model is pre-trained on a real-world and synthetic time-series corpus comprising more than 1 trillion time points, building on the efficiency and zero-shot generalization of earlier TimesFM models. It can jointly predict multiple coevolving time series and capture dependencies that improve accuracy without task-specific fine-tuning. The model supports multiple targets with point and quantile forecasts, past covariates that are known only historically, and past-future dynamic covariates such as planned promotions, holidays, or weather forecasts. TimesFM-3 uses a decoder-only transformer architecture, processes contiguous data in patches of 32 time steps, and applies alternating causal temporal attention and full variate attention to combine patterns across time and related series.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

Data scientists, researchers, and developers wanting to forecast multiple related time series and incorporate historical and known future signals

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

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

Company Information

Google
Founded: 1998
United States
research.google/blog/timesfm-3-a-zero-shot-foundation-model-for-multivariate-forecasting/

Alternatives

CodeGemma

CodeGemma

Google

Alternatives

Qwen-7B

Qwen-7B

Alibaba
CodeQwen

CodeQwen

Alibaba
Qwen2.5-Max

Qwen2.5-Max

Alibaba
Kimi K2

Kimi K2

Moonshot AI
Qwen2

Qwen2

Alibaba
Qwen-7B

Qwen-7B

Alibaba
Qwen 4

Qwen 4

Alibaba

Categories

Categories

AI Models Supported
Foundation Models Supported

Integrations

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

Integrations

Alibaba Cloud Not Supported
AtCoder Not Supported
Code Llama Not Supported
Codeforces Not Supported
Conda Not Supported
DeepSeek Coder Not Supported
GPT-3.5 Not Supported
GPT-4 Not Supported
Hugging Face Not Supported
LangChain Not Supported
LeetCode Not Supported
LlamaIndex Not Supported
ModelScope Not Supported
Ollama Not Supported
PyTorch Not Supported
Python Not Supported
Qwen Studio Not Supported
StarCoder Not Supported
Claim CodeQwen and update features and information
Claim CodeQwen and update features and information
Claim TimesFM-3 and update features and information
Claim TimesFM-3 and update features and information