🌲🍄 LLM Forest Orchestra: Turning Hidden States into Music
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🌲🍄 LLM Forest Orchestra: Turning Hidden States into Music
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        Hello everyone! I'm excited to introduce a new Space I've been developing called LLM Forest Orchestra. This project converts the hidden states and attention patterns of transformer models into layered MIDI compositions. The concept draws inspiration from mushrooms and mycelial networks in forests. Fungi create underground connections linking plants and trees, establishing what some call a "wood-wide web" where signals and nutrients travel. Researchers have discovered that these exchanges form patterns resembling rhythms and pulses. When translated appropriately, these patterns can become music.
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        Hello everyone! I'm excited to introduce a new Space I've been developing called LLM Forest Orchestra. This project converts the hidden states and attention patterns of transformer models into layered MIDI compositions. The concept draws inspiration from mushrooms and mycelial networks in forests. Fungi create underground connections linking plants and trees, establishing what some call a "wood-wide web" where signals and nutrients travel. Researchers have discovered that these exchanges form patterns resembling rhythms and pulses. When translated appropriately, these patterns can become music.
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        Transformers operate through remarkably similar principles: tokens share signals via hidden states and attention heads. This Space transforms those invisible information flows into notes, chords, and rhythms, treating the model as a digital forest orchestra.
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        Transformers operate through remarkably similar principles: tokens share signals via hidden states and attention heads. This Space transforms those invisible information flows into notes, chords, and rhythms, treating the model as a digital forest orchestra.
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🎛 Features
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🎛 Features
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* Two compute modes:
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* Two compute modes:
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        - Full model operates on a Hugging Face model (defaulting to unsloth/Qwen3-14B-Base).
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        - Full model operates on a Hugging Face model (defaulting to unsloth/Qwen3-14B-Base).
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        - Mock latents provides a CPU-friendly option that simulates tensors for immediate experimentation.
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        - Mock latents provides a CPU-friendly option that simulates tensors for immediate experimentation.
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* Musical controls: You can adjust scale selection, tempo grid, velocity range, instrument/role presets, and seed randomization.
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* Musical controls: You can adjust scale selection, tempo grid, velocity range, instrument/role presets, and seed randomization.
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* Output: The system generates .mid files compatible with DAWs and remixing workflows.
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* Output: The system generates .mid files compatible with DAWs and remixing workflows.
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🌌 Why?
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🌌 Why?
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        Neural networks already resemble unusual musical instruments: signals flow through them, patterns emerge organically, and careful observation reveals hidden melodies. This is analogous to the forest's secret orchestra of mushrooms and trees.
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        Neural networks already resemble unusual musical instruments: signals flow through them, patterns emerge organically, and careful observation reveals hidden melodies. This is analogous to the forest's secret orchestra of mushrooms and trees.
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👉 Try it
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👉 Try it
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Try the Space here: 
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Try the Space here: 
https://huggingface.co/spaces/Locutusque/LLM-Forest-Orchestra
Locutusque/LLM-Forest-Orchestra
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https://huggingface.co/spaces/Locutusque/LLM-Forest-Orchestra
. I'm excited to hear the sounds you can generate. Please share your created MIDIs or remixes in the comments. Let's explore how this hidden forest of transformers can sound together. 🌳🎶
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. I'm excited to hear the sounds you can generate. Please share your created MIDIs or remixes in the comments. Let's explore how this hidden forest of transformers can sound together. 🌳🎶
🌲🍄 LLM Forest Orchestra: Turning Hidden States into Music

        Hello everyone! I'm excited to introduce a new Space I've been developing called LLM Forest Orchestra. This project converts the hidden states and attention patterns of transformer models into layered MIDI compositions. The concept draws inspiration from mushrooms and mycelial networks in forests. Fungi create underground connections linking plants and trees, establishing what some call a "wood-wide web" where signals and nutrients travel. Researchers have discovered that these exchanges form patterns resembling rhythms and pulses. When translated appropriately, these patterns can become music.

        Transformers operate through remarkably similar principles: tokens share signals via hidden states and attention heads. This Space transforms those invisible information flows into notes, chords, and rhythms, treating the model as a digital forest orchestra.

🎛 Features

* Two compute modes:
        - Full model operates on a Hugging Face model (defaulting to unsloth/Qwen3-14B-Base).
        - Mock latents provides a CPU-friendly option that simulates tensors for immediate experimentation.
* Musical controls: You can adjust scale selection, tempo grid, velocity range, instrument/role presets, and seed randomization.
* Output: The system generates .mid files compatible with DAWs and remixing workflows.

🌌 Why?

        Neural networks already resemble unusual musical instruments: signals flow through them, patterns emerge organically, and careful observation reveals hidden melodies. This is analogous to the forest's secret orchestra of mushrooms and trees.

👉 Try it

Try the Space here: https://huggingface.co/spaces/Locutusque/LLM-Forest-Orchestra. I'm excited to hear the sounds you can generate. Please share your created MIDIs or remixes in the comments. Let's explore how this hidden forest of transformers can sound together. 🌳🎶
👍
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