Main Purpose
The main purpose of Stability AI's StableCode is to assist users in generating programming language code using generative AI.
Key Features
- Open Large Language Model (LLM): StableCode is an LLM designed to help users generate programming language code.
- Three Different Levels: StableCode is available at three different levels: a base model for general use cases, an instruction model, and a long-context-window model that supports up to 16,000 tokens.
- Programming Language Support: StableCode initially supports development in Python, Go, Java, JavaScript, C, markdown, and C++ programming languages.
- Long-Context Window: StableCode's long-context-window version has a context window of 16,000 tokens, allowing for more specialized and complex code generation prompts.
- Rotary Position Embedding (RoPE): StableCode uses rotary position embedding (RoPE) instead of the ALiBi approach to position outputs in a transformer model, ensuring a more balanced consideration of code functions.
Use Case
- Generating Programming Language Code: StableCode enables users to generate programming language code to solve problems or improve their codebase.
