Activefastllm Open Source

Qwen2.5-Coder 1.5B

by Alibaba· Released September 2024· Cutoff June 2024

Qwen2.5-Coder 1.5B is a compact code-specific language model from Alibaba's Qwen series, designed for efficient code generation and understanding. It balances performance and resource usage, making it suitable for local deployment and lightweight coding tasks. As part of the Qwen2.5-Coder family, it offers strong code completion and infilling capabilities.

Official Site 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

32K tokens

Max output

8192 tokens

Modalities

text

Parameters

1.5B

License

Apache-2.0

Capabilities

Code GenerationCode CompletionCode InfillingFunction CallingStreamingJSON Mode

Best For

Lightweight code generation and completion tasks, especially for local or resource-constrained environments.

Strengths

Strong code generation for its size
Efficient inference with low memory footprint
Supports multiple programming languages
Good balance of speed and quality

Limitations

Smaller context window compared to larger models
May struggle with complex reasoning tasks
Not suitable for non-code tasks
Limited multilingual support

Use Cases

Code autocompletion in IDEs

Generating boilerplate code

Code translation between languages

Educational coding assistance

Lightweight code review suggestions

Embedded in developer tools

Rapid prototyping of small scripts

Improvements Over Previous Model

Introduced as a new model in the Qwen2.5-Coder series, succeeding Qwen2-Coder
Improved code generation accuracy on HumanEval and MBPP benchmarks
Enhanced support for code infilling and long-form code generation
Better handling of function calling and structured outputs
Optimized for faster inference with reduced latency

Back to all models

Activefastllm Open Source

Qwen2.5-Coder 1.5B

by Alibaba· Released September 2024· Cutoff June 2024

Official Site 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

32K tokens

Max output

8192 tokens

Modalities

text

Parameters

1.5B

License

Apache-2.0

Capabilities

Code GenerationCode CompletionCode InfillingFunction CallingStreamingJSON Mode

Best For

Lightweight code generation and completion tasks, especially for local or resource-constrained environments.

Strengths

Strong code generation for its size
Efficient inference with low memory footprint
Supports multiple programming languages
Good balance of speed and quality

Limitations

Smaller context window compared to larger models
May struggle with complex reasoning tasks
Not suitable for non-code tasks
Limited multilingual support

Use Cases

Code autocompletion in IDEs

Generating boilerplate code

Code translation between languages

Educational coding assistance

Lightweight code review suggestions

Embedded in developer tools

Rapid prototyping of small scripts

Improvements Over Previous Model

Introduced as a new model in the Qwen2.5-Coder series, succeeding Qwen2-Coder
Improved code generation accuracy on HumanEval and MBPP benchmarks
Enhanced support for code infilling and long-form code generation
Better handling of function calling and structured outputs
Optimized for faster inference with reduced latency

Back to all models