LucidityAI/Astral-4B-Preview
LucidityAI/Astral-4B-Preview is a 4 billion parameter language model built upon the Qwen3-4b-thinking-2507 foundation, specifically fine-tuned on the nvidia/AceReason-1.1-SFT dataset. This model specializes in high-fidelity, step-by-step reasoning with configurable depth, making it ideal for tasks requiring logical coherence and structured problem-solving. It is designed for research, evaluation, and development, focusing on enhancing reasoning capabilities.
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Astral-4B-Preview: A Reasoning-Focused LLM
LucidityAI's Astral-4B-Preview is a 4 billion parameter language model engineered for advanced reasoning tasks. Built on the Qwen3-4b-thinking-2507 foundation, it has been extensively fine-tuned using the nvidia/AceReason-1.1-SFT dataset to significantly enhance its logical coherence, problem-solving abilities, and structured thinking.
Key Capabilities & Features
- Specialized Reasoning: Designed to generate high-fidelity, step-by-step reasoning traces.
- Configurable Reasoning Depth: Users can specify the desired level of reasoning (none, low, medium, high, ultra) in the system prompt using the
Reasoning-level:directive, allowing for tailored output verbosity. - Enhanced Problem-Solving: Optimized for tasks requiring detailed logical progression and structured thought processes.
Usage & Status
This model is currently in a preview release phase, intended for research, evaluation, and development. Users must include a valid Reasoning-level: in the system prompt for defined behavior. Feedback is actively encouraged to guide future iterations. It is not yet recommended for production applications.