OliviaRossi/MiMo-Negentropy-9B-AGSI
OliviaRossi/MiMo-Negentropy-9B-AGSI is a 9 billion parameter language model created by OliviaRossi, synthesized from XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B and Jackrong/Negentropy-claude-opus-4.7-9B. This model leverages Adaptive Geodesic Spectral Interpolation (AGSI) to combine advanced software engineering, reasoning, and autonomous terminal/coding agent capabilities. It is designed for complex tasks requiring a fusion of these specialized functionalities, offering a 32768 token context length.
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Model Overview
OliviaRossi/MiMo-Negentropy-9B-AGSI is a 9 billion parameter language model that represents a novel fusion of two distinct base models: XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B and Jackrong/Negentropy-claude-opus-4.7-9B. This synthesis was achieved using Adaptive Geodesic Spectral Interpolation (AGSI), a technique incorporating row-wise manifold SLERP, anti-phase conflict shielding, and spectral energy invariance.
Key Capabilities
- Advanced Software Engineering & Reasoning: Inherits capabilities from MiMo-V2.6, which is distilled for these specific domains.
- Autonomous Terminal & Coding Agent: Integrates features from Negentropy-claude-opus-4.7, designed for agentic coding tasks.
- Fused Intelligence: Aims to combine the strengths of both base models, offering a more versatile and robust solution for complex, multi-faceted problems.
- Extended Context: Supports a substantial 32768 token context length, beneficial for intricate coding projects or detailed reasoning tasks.
Ideal Use Cases
- Complex Code Generation and Refactoring: Leveraging its combined coding and reasoning strengths.
- Automated Software Development Tasks: For scenarios requiring an autonomous agent to interact with terminals and generate code.
- Advanced Problem Solving: Where a blend of deep reasoning and practical application is necessary.
- Research and Development: Exploring the synergistic potential of fused model architectures for specialized AI applications.