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Frontier language models from 600M to 480B parameters. Open-weight models optimized for edge devices through cloud-scale deployments, built on the Zen architecture with efficient inference via Rust, MLX, and GGUF.
[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
Zen LM develops state-of-the-art language models spanning ten modalities from 600M (embedded) to 480B (frontier research). All models use the Zen architecture with RoPE embeddings, SwiGLU activation, grouped-query attention, and Flash Attention 2. Available through the Hanzo LLM Gateway, Hugging Face, vLLM, and local inference via MLX/GGUF.
## Quick Start