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language:
- en
license: apache-2.0
base_model: Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed
library_name: mlx-lm
pipeline_tag: text-generation
tags:
- mlx
- mtplx
- qwen
- qwen3.6
- helios
- union-street-ai
- local-ai
- apple-silicon
- agentic
---
# 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
```bash
python -m mlx_lm generate \
--model UnionStreet/Helios-Lynx-1.0 \
--prompt "Who are you?"
```
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