---
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?"
```