Activefrontierllm Open Source

Qwen2.5-Coder 14B

by Alibaba· Released November 2024· Cutoff June 2024

Qwen2.5-Coder 14B is a state-of-the-art code-specific large language model from Alibaba's Qwen series, designed to excel in code generation, reasoning, and fixing. It is part of the Qwen2.5-Coder family, which includes models ranging from 1.5B to 32B parameters, with the 14B variant offering a strong balance of performance and efficiency.

Official Site 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

32,768 tokens

Max output

8192 tokens

Modalities

text

Parameters

14B

License

Apache-2.0

Capabilities

Code GenerationCode CompletionCode ReasoningCode FixingMulti-language SupportInstruction FollowingLong Context Understanding

Best For

Code generation, completion, and reasoning tasks, especially for developers seeking a powerful open-source coding assistant.

Strengths

Top-tier coding performance among open-source models of similar size
Strong multilingual code support
Efficient inference with 14B parameters
Active community and frequent updates from Alibaba

Limitations

Smaller context window compared to some larger models
May not match the coding ability of larger proprietary models like GPT-4
Limited to text modality; no vision or audio capabilities

Use Cases

Automated code generation for software development

Code review and bug fixing assistance

Educational tool for learning programming

Integration into IDEs as a coding copilot

Automated test case generation

Code translation between programming languages

Documentation generation from code

Improvements Over Previous Model

Improved code generation accuracy over Qwen2-Coder series
Enhanced support for more programming languages
Better instruction following for complex coding tasks
Increased context window from 8K to 32K tokens
Optimized inference speed and reduced memory footprint

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Activefrontierllm Open Source

Qwen2.5-Coder 14B

by Alibaba· Released November 2024· Cutoff June 2024

Official Site 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

32,768 tokens

Max output

8192 tokens

Modalities

text

Parameters

14B

License

Apache-2.0

Capabilities

Code GenerationCode CompletionCode ReasoningCode FixingMulti-language SupportInstruction FollowingLong Context Understanding

Best For

Code generation, completion, and reasoning tasks, especially for developers seeking a powerful open-source coding assistant.

Strengths

Top-tier coding performance among open-source models of similar size
Strong multilingual code support
Efficient inference with 14B parameters
Active community and frequent updates from Alibaba

Limitations

Smaller context window compared to some larger models
May not match the coding ability of larger proprietary models like GPT-4
Limited to text modality; no vision or audio capabilities

Use Cases

Automated code generation for software development

Code review and bug fixing assistance

Educational tool for learning programming

Integration into IDEs as a coding copilot

Automated test case generation

Code translation between programming languages

Documentation generation from code

Improvements Over Previous Model

Improved code generation accuracy over Qwen2-Coder series
Enhanced support for more programming languages
Better instruction following for complex coding tasks
Increased context window from 8K to 32K tokens
Optimized inference speed and reduced memory footprint

Back to all models