officialApexCode/apex-code-roblox-luau-0.5b
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:0.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 24, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
The officialApexCode/apex-code-roblox-luau-0.5b model is a 0.5 billion parameter instruction-tuned language model based on the Qwen2.5 architecture, fine-tuned by officialApexCode. It is specifically optimized for generating Luau code, the scripting language used in Roblox. With a context length of 32768 tokens, this model excels at assisting developers with Roblox-specific programming tasks and code generation.
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officialApexCode/apex-code-roblox-luau-0.5b Overview
This model, developed by officialApexCode, is a compact yet powerful 0.5 billion parameter language model built upon the Qwen2.5-0.5b-Instruct architecture. It has been specifically fine-tuned using Unsloth for efficient performance and focuses on generating code in Luau, the scripting language for Roblox.
Key Capabilities
- Luau Code Generation: Specialized in producing functional and syntactically correct Luau code for Roblox development.
- Instruction Following: Designed to respond to instructions for coding tasks, making it suitable for developer assistance.
- Efficient Performance: Leverages Unsloth for optimized training and inference, making it a practical choice for resource-conscious applications.
- Extended Context Window: Features a substantial context length of 32768 tokens, allowing it to handle larger code snippets and more complex programming requests.
Good For
- Roblox Game Development: Assisting developers in writing, debugging, or generating Luau scripts for Roblox games.
- Educational Tools: Providing code examples or explanations for learning Luau and Roblox scripting.
- Prototyping: Rapidly generating boilerplate code or functions for Roblox projects.
- Code Completion: Enhancing developer workflows by suggesting relevant Luau code segments.