Activefrontierllm Open Source

Qwen1.5 32B

by Alibaba· Released February 2024· Cutoff September 2023

Qwen1.5 32B is a large language model from Alibaba's Qwen1.5 series, featuring 32 billion parameters. It supports a context length of 32,768 tokens and is designed for a wide range of natural language tasks. The model is open-source under Apache 2.0 license and is available in both base and chat versions.

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

32768 tokens

Max output

8192 tokens

Modalities

text

Parameters

32B

License

Apache-2.0

Capabilities

Text GenerationCode GenerationFunction CallingStreamingJSON ModeMultilingual Support

Best For

General-purpose text generation and coding tasks requiring a balance of performance and efficiency.

Strengths

Strong performance on benchmarks comparable to larger models
Efficient inference due to 32B parameter size
Supports function calling and JSON mode
Multilingual capabilities
Open-source with permissive license

Limitations

Smaller context window compared to some newer models
May not match top-tier models on extremely complex reasoning
No native vision or multimodal support
Requires significant computational resources for local deployment

Use Cases

Chatbots and virtual assistants

Code generation and assistance

Content creation and summarization

Data extraction and analysis

Language translation

Educational tutoring

Customer support automation

Improvements Over Previous Model

Introduced as part of Qwen1.5 series, succeeding Qwen 14B with larger parameter count
Improved context length from 8K to 32K tokens
Enhanced multilingual capabilities
Better performance on coding benchmarks
Added function calling support
Improved instruction following

Back to all models

Activefrontierllm Open Source

Qwen1.5 32B

by Alibaba· Released February 2024· Cutoff September 2023

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

32768 tokens

Max output

8192 tokens

Modalities

text

Parameters

32B

License

Apache-2.0

Capabilities

Text GenerationCode GenerationFunction CallingStreamingJSON ModeMultilingual Support

Best For

General-purpose text generation and coding tasks requiring a balance of performance and efficiency.

Strengths

Strong performance on benchmarks comparable to larger models
Efficient inference due to 32B parameter size
Supports function calling and JSON mode
Multilingual capabilities
Open-source with permissive license

Limitations

Smaller context window compared to some newer models
May not match top-tier models on extremely complex reasoning
No native vision or multimodal support
Requires significant computational resources for local deployment

Use Cases

Chatbots and virtual assistants

Code generation and assistance

Content creation and summarization

Data extraction and analysis

Language translation

Educational tutoring

Customer support automation

Improvements Over Previous Model

Introduced as part of Qwen1.5 series, succeeding Qwen 14B with larger parameter count
Improved context length from 8K to 32K tokens
Enhanced multilingual capabilities
Better performance on coding benchmarks
Added function calling support
Improved instruction following

Back to all models