Activelegacyllm Open Source

Qwen1.5 1.8B

by Alibaba· Released February 2024

Qwen1.5 1.8B is a compact decoder-only language model from Alibaba's Qwen1.5 series, featuring 1.8 billion parameters. It is designed for efficient deployment on edge devices and resource-constrained environments while maintaining strong performance on various NLP tasks. As the smallest model in the Qwen1.5 lineup, it offers a balance of speed and capability for lightweight applications.

Official Site 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

32K tokens

Max output

—

Modalities

text

Parameters

1.8B

License

Apache-2.0

Capabilities

Text GenerationCode GenerationMultilingual SupportFunction CallingStreamingJSON Mode

Best For

Lightweight text generation and code tasks on resource-constrained devices or for rapid prototyping.

Strengths

Compact size enables fast inference on CPU and edge devices
Strong performance relative to parameter count
Supports 32K context window
Multilingual capabilities including English and Chinese

Limitations

Limited reasoning and complex task performance compared to larger models
Smaller knowledge base and less nuanced understanding
May struggle with highly specialized or technical domains

Use Cases

Chatbots and virtual assistants on mobile devices

Code completion and generation in IDEs

Text summarization for short documents

Language translation for common languages

Educational tools and tutoring

Content generation for social media

Rapid prototyping of LLM applications

Improvements Over Previous Model

Introduced as a new smaller variant in the Qwen1.5 family, offering a lightweight option not present in Qwen1.0
Supports 32K context window, up from 8K in Qwen1.0 models
Improved multilingual performance with better tokenization
Enhanced function calling and JSON mode capabilities
Apache-2.0 license, more permissive than previous versions

Back to all models

Activelegacyllm Open Source

Qwen1.5 1.8B

by Alibaba· Released February 2024

Official Site 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

32K tokens

Max output

—

Modalities

text

Parameters

1.8B

License

Apache-2.0

Capabilities

Text GenerationCode GenerationMultilingual SupportFunction CallingStreamingJSON Mode

Best For

Lightweight text generation and code tasks on resource-constrained devices or for rapid prototyping.

Strengths

Compact size enables fast inference on CPU and edge devices
Strong performance relative to parameter count
Supports 32K context window
Multilingual capabilities including English and Chinese

Limitations

Limited reasoning and complex task performance compared to larger models
Smaller knowledge base and less nuanced understanding
May struggle with highly specialized or technical domains

Use Cases

Chatbots and virtual assistants on mobile devices

Code completion and generation in IDEs

Text summarization for short documents

Language translation for common languages

Educational tools and tutoring

Content generation for social media

Rapid prototyping of LLM applications

Improvements Over Previous Model

Introduced as a new smaller variant in the Qwen1.5 family, offering a lightweight option not present in Qwen1.0
Supports 32K context window, up from 8K in Qwen1.0 models
Improved multilingual performance with better tokenization
Enhanced function calling and JSON mode capabilities
Apache-2.0 license, more permissive than previous versions

Back to all models