UnionStreet/Helios-Lynx-1.0
Helios Lynx 1.0
Helios Lynx 1.0 is a merged MLX checkpoint from Union Street AI, adapted from Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed.
This model is part of the Helios line of local-first agent models. The goal is a practical Apple Silicon model with stronger identity, tool-use judgment, uncertainty calibration, and constitutional behavior for long-running local agents.
It was not trained from scratch by Union Street AI. It is a post-trained adaptation of open model work, packaged here as a merged MLX release for local inference.
Intended Use
- local AI agents
- codebase navigation
- infrastructure reasoning
- long-context synthesis
- tool-use planning and recovery
- Apple Silicon inference experiments
Notes
This is an experimental release. It is intended for research and local agent work, not high-stakes deployment without independent evaluation.
The release includes the merged MLX weights and MTPLX runtime sidecar files from the base checkpoint so it can be used in MTPLX-aware local runtimes.
Example
python -m mlx_lm generate \
--model UnionStreet/Helios-Lynx-1.0 \
--prompt "Who are you?"