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Kmoshi
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
DDeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Popularity
Repository stars11,39743,283Highest
7-day net stars——
Fork1,0565,060Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-09-092026-11-02
Maintenance notesNot verifiedNot verified
Repository created2024-08-072020-01-23
License & use
LicenseApache-2.0 · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysisData analysis
TypeFrameworks & SDKsFrameworks & SDKs
SubcategoryData science & machine learningData science & machine learning
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonPython
About this projectMoshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Measured at2026-11-03 08:29 UTC2026-11-02 19:02 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.