Activefastllm Open Source

Qwen1.5 4B

by Alibaba· Released February 2024· Cutoff September 2023

Qwen1.5 4B is a compact 4-billion-parameter language model from Alibaba's Qwen1.5 series, designed for efficient deployment on resource-constrained devices. It supports a 32K context window and offers multilingual capabilities, including strong performance in Chinese and English. As the smallest model in the Qwen1.5 lineup, it balances speed and quality for lightweight applications.

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

License

Apache-2.0

Capabilities

Text GenerationChatCode GenerationMultilingual Support (Chinese, English)Function CallingStreamingJSON Mode

Best For

Lightweight, efficient language tasks on edge devices or cost-sensitive applications.

Strengths

Very fast inference due to small size
Low memory footprint, suitable for local deployment
Strong performance for its size on Chinese and English tasks
Supports 32K context window, long for a 4B model

Limitations

Limited reasoning and complex task capability compared to larger models
Smaller knowledge base and less factual accuracy than 7B+ models
No vision or multimodal support
May struggle with nuanced instruction following

Use Cases

Real-time chatbots on mobile devices

On-device text summarization

Simple code completion in IDEs

Customer service automation for basic queries

Educational tools for language learning

Data preprocessing and text classification

Prototyping and rapid iteration

Improvements Over Previous Model

Introduced as a new smaller variant in the Qwen1.5 family, not a direct predecessor upgrade
Supports 32K context window, longer than Qwen 1.0's 8K
Improved multilingual performance, especially in English
Enhanced function calling and JSON mode support
Apache-2.0 license, more permissive than previous Qwen licenses

Back to all models

Activefastllm Open Source

Qwen1.5 4B

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

License

Apache-2.0

Capabilities

Text GenerationChatCode GenerationMultilingual Support (Chinese, English)Function CallingStreamingJSON Mode

Best For

Lightweight, efficient language tasks on edge devices or cost-sensitive applications.

Strengths

Very fast inference due to small size
Low memory footprint, suitable for local deployment
Strong performance for its size on Chinese and English tasks
Supports 32K context window, long for a 4B model

Limitations

Limited reasoning and complex task capability compared to larger models
Smaller knowledge base and less factual accuracy than 7B+ models
No vision or multimodal support
May struggle with nuanced instruction following

Use Cases

Real-time chatbots on mobile devices

On-device text summarization

Simple code completion in IDEs

Customer service automation for basic queries

Educational tools for language learning

Data preprocessing and text classification

Prototyping and rapid iteration

Improvements Over Previous Model

Introduced as a new smaller variant in the Qwen1.5 family, not a direct predecessor upgrade
Supports 32K context window, longer than Qwen 1.0's 8K
Improved multilingual performance, especially in English
Enhanced function calling and JSON mode support
Apache-2.0 license, more permissive than previous Qwen licenses

Back to all models