Open-Source Framework Achieves Gemini 3 Deep Think Level Performance Through Local Model Scaffolding

A newly released open-source framework demonstrates how intelligent scaffolding and composition of local models can achieve performance parity with frontier models like Gemini 3's Deep Think and GPT-5.2 Pro versions. Rather than relying on single massive models, this approach leverages strategic combination and orchestration of smaller local models.

This development is crucial for local LLM practitioners because it suggests performance improvements don't always require larger models or more parameters. By composing models intelligently through scaffolding techniques, practitioners can achieve state-of-the-art performance on consumer hardware. The framework-based approach also means it can be framework-agnostic and potentially compatible with various quantization methods, ollama, and other local inference tools. This democratizes access to advanced reasoning capabilities for self-hosted deployments.

Read the full article on r/LocalLLaMA.

Source: r/LocalLLaMA · Relevance: 8/10