Spaces:
Running
on
Zero
Running
on
Zero
Update README.md
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README.md
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---
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-
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app_file: app.py
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---
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---
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title: Locutusque Models
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emoji: π²
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colorFrom: green
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colorTo: blue
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sdk: gradio
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sdk_version: 4.29.0
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app_file: app.py
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license: apache-2.0
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---
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# LLM Forest Orchestra β Hugging Face Space (Gradio)
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This Space turns transformer **hidden states** and **attentions** into a layered **MIDI composition**.
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## Features
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- Two compute modes:
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- **Full model**: loads a base HF model (default: `unsloth/Qwen3-14B-Base`) and extracts internals.
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- **Mock latents**: fast CPU-friendly demo mode that synthesizes tensors to preview the music system.
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- Musical controls: scale selection (with custom notes), ticks-per-beat grid, velocity range, and instrument/role presets.
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- Exports a `.mid` file you can drop into any DAW.
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## Files
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- `app.py` β Gradio app entry.
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- `requirements.txt` β Python deps.
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- `README.md` β You are here.
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## Hardware / tips
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- `unsloth/Qwen3-14B-Base` is **large**. On CPU-only Spaces, use **Mock latents**. For Full model, pick a smaller base or provision a GPU Space.
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- Models must support `output_hidden_states=True` and `output_attentions=True`.
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- MIDI channels are limited to 16; the UI caps layers at 6 for headroom.
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## Inspiration
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This project is inspired by the way **mushrooms and mycelial networks in forests**
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connect plants and trees, forming a living web of communication and resource sharing.
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These connections, can be turned into ethereal music.
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Just as signals move through these hidden connections, transformer models also
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pass hidden states and attentions across their layers. Here, those hidden
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connections are translated into **music**, analogous to the forest's secret orchestra.
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