Activefastllm Open Source

Stable Code 3B

by Stability AI· Released January 2024· Cutoff 2023

Stable Code 3B is a 3 billion parameter large language model specialized for code generation and completion. It is designed to be lightweight and efficient, offering strong performance on code tasks while being deployable on consumer-grade hardware. It is part of Stability AI's lineup of open models for developers.

Official Site API Docs 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

8192 tokens

Max output

4096 tokens

Modalities

text

Parameters

License

Stability AI Community License

Capabilities

Code GenerationCode CompletionFill-in-the-MiddleStreamingPythonJavaScriptJavaC++

Best For

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

Strengths

Strong performance for its size on code benchmarks
Efficient and fast inference
Supports fill-in-the-middle for code infilling
Open source with permissive license

Limitations

Smaller context window (8K tokens) compared to larger models
Limited to code tasks; not a general-purpose LLM
May not match accuracy of larger code models like CodeLlama 34B
No multimodal capabilities

Use Cases

Code autocompletion in IDEs

Generating code snippets from natural language

Code refactoring and bug fixing

Educational tools for learning programming

Automated code documentation

Code translation between languages

Local development assistants

Improvements Over Previous Model

First model in the Stable Code family; no direct predecessor

Back to all models

Activefastllm Open Source

Stable Code 3B

by Stability AI· Released January 2024· Cutoff 2023

Official Site API Docs 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

8192 tokens

Max output

4096 tokens

Modalities

text

Parameters

License

Stability AI Community License

Capabilities

Code GenerationCode CompletionFill-in-the-MiddleStreamingPythonJavaScriptJavaC++

Best For

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

Strengths

Strong performance for its size on code benchmarks
Efficient and fast inference
Supports fill-in-the-middle for code infilling
Open source with permissive license

Limitations

Smaller context window (8K tokens) compared to larger models
Limited to code tasks; not a general-purpose LLM
May not match accuracy of larger code models like CodeLlama 34B
No multimodal capabilities

Use Cases

Code autocompletion in IDEs

Generating code snippets from natural language

Code refactoring and bug fixing

Educational tools for learning programming

Automated code documentation

Code translation between languages

Local development assistants

Improvements Over Previous Model

First model in the Stable Code family; no direct predecessor

Back to all models