Cannae-AI/Gemini-3.1-pro-Gemma-4-E4B-Distill
Cannae-AI/Gemini-3.1-pro-Gemma-4-E4B-Distill is a 7.9 billion parameter model fine-tuned by Cannae-AI, leveraging Gemini 3.1 Pro for enhanced analytical depth and logical coherence. This model specializes in expert-level reasoning tasks, excelling at multi-step problem-solving and synthesizing conflicting information. With a 32K context length, it is optimized for research and applications requiring advanced analytical and reasoning capabilities.
Loading preview...
Overview
Cannae-AI/Gemini-3.1-pro-Gemma-4-E4B-Distill is a 7.9 billion parameter model fine-tuned by Cannae-AI, specifically designed for expert-level reasoning tasks. It leverages the advanced capabilities of Gemini 3.1 Pro to significantly enhance its analytical depth, logical coherence, and ability to synthesize conflicting information. The model was fine-tuned using the SFT method on Nvidia L4 hardware.
Key Capabilities
- Expert-level Reasoning: Excels in complex, multi-step reasoning, derivations, and problem synthesis.
- High-Complexity Data Training: Trained on a synthetic, high-complexity reasoning corpus generated by Gemini 3.1 Flash and solved by Gemini 3.1 Pro.
- Analytical Depth: Designed to push the limits of modern reasoning models in challenging domains, including logic, mathematics, and domain-specific reasoning.
Intended Use Cases
- Advanced reasoning and problem-solving applications.
- Research in multi-step logical reasoning and AI cognition.
Limitations
- Performance in real-world scenarios may vary as it is trained on synthetic data.
- Specialized focus on reasoning may lead to reduced performance in casual conversation or general NLP tasks.