Speech-to-text
Moonshine Streaming Medium requirements, license & speed
By Moonshine AI (Useful Sensors) · released 2026-01-06 · 245M parameters
Commercial useYes
Min memoryTargets sub-1 GB memory edge devices
Runs on CPUYes
StreamingYes
Key facts
- License
- mit source
- Commercial use
- Yes sourceMIT (streaming models are MIT in all languages)
- Parameters
- 245M sourceTiny 34M / Small 123M variants also available
- Minimum memory
- Targets sub-1 GB memory edge devices sourceDesign target, not a measured minimum
- Runs on CPU
- Yes sourceBuilt for edge-class hardware
- Streaming
- Yes source
- Voice cloning
- n/a (speech-to-text)
- Languages
- en source
- Released
- 2026-01-06 sourceHugging Face repo creation date (proxy for release date)
- Gated on HF
- No
Measured speed & memory
Benchmark pending. We haven't measured Moonshine Streaming Medium yet. Planned targets: Raspberry Pi 5, CPU-only x86, Apple Silicon Mac and consumer GPUs. Get notified.
Accuracy
We don't run accuracy evals. For word error rate, check the Hugging Face Open ASR Leaderboard.
Similar STT models
Spotted an error? Report it. Every fact links to the model card or repo it came from.