Releases: Tok/impulse-instruct
Releases · Tok/impulse-instruct
v0.7.3
Impulse Instruct v0.7.3
A smart synthesizer with a virtual production team inside — multiple LLM agents collaborate to write patterns, shape sound, and evolve tracks in real time.
Quick start
- Download the
.zipfor your platform - Extract — you'll get the binary, configs, start scripts, and a
models/folder - Run
scripts/download-models.sh(or.bat) to fetch Gemma 4 E4B (~4.6 GB) - Run
./start.sh(Linux) orstart.bat(Windows) — this launches the app with terminal logging
Verify
sha256sum impulse-instruct-linux-x86_64
gh attestation verify impulse-instruct-linux-x86_64 --repo Tok/impulse-instruct
System requirements
- Linux:
libasound2,libxcb(standard on most distros) - Windows: Windows 10+ x64, MSVC runtime (usually pre-installed)
- LLM inference: NVIDIA GPU recommended; CPU inference works but is slow
Recommended models
- Gemma 4 E4B Q4_K_M (~4.6 GB) — best accuracy, default; needed for all presets
- Bonsai 8B Q1_0_g128 (~1.1 GB) — lightweight agent for multi-model teams
Full Changelog: v0.7.2...v0.7.3
v0.7.2
Impulse Instruct v0.7.2
A smart synthesizer with a virtual production team inside — multiple LLM agents collaborate to write patterns, shape sound, and evolve tracks in real time.
Quick start
- Download the
.zipfor your platform - Extract — you'll get the binary, configs, start scripts, and a
models/folder - Run
scripts/download-models.sh(or.bat) to fetch Gemma 4 E4B (~4.6 GB) - Run
./start.sh(Linux) orstart.bat(Windows) — this launches the app with terminal logging
Verify
sha256sum impulse-instruct-linux-x86_64
gh attestation verify impulse-instruct-linux-x86_64 --repo Tok/impulse-instruct
System requirements
- Linux:
libasound2,libxcb(standard on most distros) - Windows: Windows 10+ x64, MSVC runtime (usually pre-installed)
- LLM inference: NVIDIA GPU recommended; CPU inference works but is slow
Recommended models
- Gemma 4 E4B Q4_K_M (~4.6 GB) — best accuracy, default; needed for all presets
- Bonsai 8B Q1_0_g128 (~1.1 GB) — lightweight agent for multi-model teams
Full Changelog: v0.6.4...v0.7.2