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**HYRE's first in-house model** — an agent-tuned, uncensored derivative of Meta's Muse Glimmer 30B, built for autonomous agents that need tool-calling and a straight-talking voice with no refusal walls. HOMURA is **not** a from-scratch model. It is a LoRA fine-tune applied on top of a community-decensored Muse Glimmer, then merged and quantized. The derivation chain is honest and traceable: 1. **Meta — Muse Glimmer 30B** (Apache 2.0): the agent-native base (tool use, long-horizon planning, failure recovery). 2. **darkc0de — Muse-Glimmer-30B-heretic**: refusal behavior removed (abliteration), while tool-calling, reasoning, and the vision encoder were preserved. 3. **HYRE — HOMURA**: our contribution — a LoRA (r=16) tuned on a HYRE agent + uncensored-persona dataset, applied to the **language tower only** (the vision tower is untouched), then merged at f16 and quantized to GGUF.

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