muhammad-taqi512/LYRAMOON
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 26, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
LYRAMOON is a 7.6 billion parameter reasoning engine developed by Muhammad Taqi. This model is designed for high-speed intelligence, complex logic evaluation, and clean code generation. It aims to provide Gemini-grade multi-turn conversational AI capabilities. LYRAMOON is particularly optimized for generating clean code and engaging in sophisticated conversations.
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LYRAMOON: A 7.6B Parameter Reasoning Engine
LYRAMOON, developed by Muhammad Taqi, is a 7.6 billion parameter model built on the PyTorch / Transformers framework. It is engineered as a next-generation reasoning engine, focusing on delivering high-speed intelligence and complex logic evaluation.
Key Capabilities
- High-Speed Intelligence: Designed for rapid processing and intelligent responses.
- Complex Logic Evaluation: Excels at understanding and evaluating intricate logical structures.
- Clean Code Generation: Capable of producing well-structured and clean code.
- Gemini-Grade Conversational AI: Targets advanced multi-turn conversational abilities, aiming for a sophisticated user interaction experience.
Good For
- Applications requiring fast and intelligent reasoning.
- Scenarios demanding the evaluation of complex logical problems.
- Developers needing a model for generating clean and efficient code.
- Building advanced conversational AI systems that can handle multi-turn interactions effectively.