Activefastllm Open Source

Qwen2.5-Coder 7B

by Alibaba· Released November 2024· Cutoff June 2024

Qwen2.5-Coder 7B is a specialized code generation model from Alibaba's Qwen2.5 series, fine-tuned for programming tasks. It offers strong performance in code completion, debugging, and multi-language support, making it a competitive open-source alternative for developers.

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

License

Apache-2.0

Capabilities

Code GenerationCode CompletionDebuggingMulti-language SupportInstruction FollowingFunction Calling

Best For

Code generation and assistance for developers, especially in Python, JavaScript, and other popular languages.

Strengths

Strong coding benchmark performance (HumanEval 85%+, MBPP 80%+)
Supports 92 programming languages
Efficient 7B parameter size for local deployment
Open-source with permissive Apache 2.0 license

Limitations

Smaller context window (32K) compared to larger models
May struggle with very complex or niche coding tasks
Not multimodal (text-only)
Limited to code-related tasks; general knowledge less robust

Use Cases

Automated code generation for web development

Code review and bug fixing assistance

Educational tool for learning programming

Integration into IDEs as a coding assistant

Automated test case generation

Code translation between languages

Documentation generation from code

Improvements Over Previous Model

Improved coding benchmarks: HumanEval from 83% to 85%+ compared to Qwen2-Coder 7B
Extended context window from 8K to 32K tokens
Better multi-language support (92 vs 86 languages)
Enhanced instruction following for complex coding tasks
Reduced hallucination in code generation

Back to all models

Activefastllm Open Source

Qwen2.5-Coder 7B

by Alibaba· Released November 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

License

Apache-2.0

Capabilities

Code GenerationCode CompletionDebuggingMulti-language SupportInstruction FollowingFunction Calling

Best For

Code generation and assistance for developers, especially in Python, JavaScript, and other popular languages.

Strengths

Strong coding benchmark performance (HumanEval 85%+, MBPP 80%+)
Supports 92 programming languages
Efficient 7B parameter size for local deployment
Open-source with permissive Apache 2.0 license

Limitations

Smaller context window (32K) compared to larger models
May struggle with very complex or niche coding tasks
Not multimodal (text-only)
Limited to code-related tasks; general knowledge less robust

Use Cases

Automated code generation for web development

Code review and bug fixing assistance

Educational tool for learning programming

Integration into IDEs as a coding assistant

Automated test case generation

Code translation between languages

Documentation generation from code

Improvements Over Previous Model

Improved coding benchmarks: HumanEval from 83% to 85%+ compared to Qwen2-Coder 7B
Extended context window from 8K to 32K tokens
Better multi-language support (92 vs 86 languages)
Enhanced instruction following for complex coding tasks
Reduced hallucination in code generation

Back to all models