Activefastllm Open Source

Qwen2.5 3B

by Alibaba· Released September 2024· Cutoff June 2024

Qwen2.5 3B is a compact yet powerful language model from Alibaba's Qwen2.5 series, offering strong performance in coding, mathematics, and general text generation. It is designed for efficient deployment on edge devices and resource-constrained environments while maintaining competitive benchmark scores.

Official Site API Docs 🤗 Hugging Face

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

Function CallingCode GenerationStreamingJSON ModeText GenerationInstruction Following

Best For

Efficient on-device inference and lightweight applications requiring strong reasoning and coding abilities.

Strengths

Strong performance for its size, especially in coding and math benchmarks
Efficient inference suitable for edge devices
Supports function calling and structured output
Open-source with permissive license

Limitations

Smaller context window compared to larger models
Limited multilingual support compared to larger Qwen variants
May struggle with complex multi-step reasoning tasks
No native vision or multimodal capabilities

Use Cases

On-device chatbots and virtual assistants

Code completion and generation in IDEs

Lightweight text summarization and classification

Educational tools for math and logic problems

Automated customer support for simple queries

Data extraction and structured output generation

Prototyping and fine-tuning for specific domains

Improvements Over Previous Model

Improved coding and math benchmarks over Qwen2 1.5B and 7B
Increased context window from 32K to 32K (same as Qwen2 but better utilization)
Better instruction following and function calling capabilities
Enhanced multilingual support compared to Qwen2
More efficient inference with reduced memory footprint

Back to all models

Activefastllm Open Source

Qwen2.5 3B

by Alibaba· Released September 2024· Cutoff June 2024

Official Site API Docs 🤗 Hugging Face

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

Function CallingCode GenerationStreamingJSON ModeText GenerationInstruction Following

Best For

Efficient on-device inference and lightweight applications requiring strong reasoning and coding abilities.

Strengths

Strong performance for its size, especially in coding and math benchmarks
Efficient inference suitable for edge devices
Supports function calling and structured output
Open-source with permissive license

Limitations

Smaller context window compared to larger models
Limited multilingual support compared to larger Qwen variants
May struggle with complex multi-step reasoning tasks
No native vision or multimodal capabilities

Use Cases

On-device chatbots and virtual assistants

Code completion and generation in IDEs

Lightweight text summarization and classification

Educational tools for math and logic problems

Automated customer support for simple queries

Data extraction and structured output generation

Prototyping and fine-tuning for specific domains

Improvements Over Previous Model

Improved coding and math benchmarks over Qwen2 1.5B and 7B
Increased context window from 32K to 32K (same as Qwen2 but better utilization)
Better instruction following and function calling capabilities
Enhanced multilingual support compared to Qwen2
More efficient inference with reduced memory footprint

Back to all models