awesome-repositories.com
Blog
MCP
awesome-repositories.com

Entdecke die besten Open-Source-Repositories mit KI-gestützter Suche.

EntdeckenKuratierte SuchenOpen-Source-AlternativenSelf-hosted SoftwareBlogSitemap
ProjektMCP-ServerÜber unsRanking-MethodikPresse
RechtlichesDatenschutzAGB
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 Repos

Awesome GitHub RepositoriesModel Managers

Downloads, installs, and manages language models through terminal commands for local use.

Distinct from Command Line Model Inferences: Distinct from Command Line Model Inferences: covers the full lifecycle of model management (download, install, list, remove), not just running inference.

Explore 2 awesome GitHub repositories matching development tools & productivity · Model Managers. Refine with filters or upvote what's useful.

Awesome Model Managers GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • cocktailpeanut/dalaiAvatar von cocktailpeanut

    cocktailpeanut/dalai

    12,920Auf GitHub ansehen↗

    The simplest way to run LLaMA on your local machine

    Manages language models through terminal commands for local use.

    CSSaillamallm
    Auf GitHub ansehen↗12,920
  • quentinfuxa/whisperlivekitAvatar von QuentinFuxa

    QuentinFuxa/WhisperLiveKit

    10,475Auf GitHub ansehen↗

    WhisperLiveKit is a real-time speech-to-text server that transcribes streaming audio into text with ultra-low latency using Whisper models. It serves transcription capabilities through REST endpoints and WebSocket connections, enabling external applications to send audio and receive transcriptions as words are spoken, making it suitable for live captioning or voice interfaces. The project distinguishes itself by combining real-time transcription with speaker diarization, assigning transcribed words to individual speakers during live audio streams for meeting or interview transcripts. It also

    Manages model lifecycle through CLI commands for listing, downloading, and deleting speech recognition models.

    Python
    Auf GitHub ansehen↗10,475
  1. Home
  2. Development Tools & Productivity
  3. Command Line Model Inferences
  4. Model Managers