Ozone drops hardware-aware TUI for local LLMs

Ozone addresses the chronic friction of local model management by combining orchestration and benchmarking into a single, terminal-native tool.

• –Built in Rust to ensure a lightweight footprint while managing resource-heavy AI workloads
• –Solves the common pain point of balancing context size and VRAM limits across different models
• –Consolidates a launcher, hardware sweep analyzer, and persistent chat interface into one application
• –Emphasizes optimization and efficiency over blindly scaling up parameter counts