vram-aware

Here are 3 public repositories matching this topic...

B-A-M-N / FlockParser

Distributed document RAG with VRAM-aware workload placement across heterogeneous nodes. Four interfaces: CLI, API, MCP, Web UI.

Updated Nov 13, 2025
Python

B-A-M-N / FlockParser-legacy

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Legacy version of FlockParser PDF processing system

Updated Oct 25, 2025
Python

sylxforce-dev / local-whisper-transcription-pipeline

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Local video/audio to subtitles pipeline. Zero cloud, VRAM-aware model selection, runs locally on any NVIDIA GPU. Built on faster-whisper and ffmpeg. Designed for readable orchestration logic, not drag-and-drop. For those integrating transcription into larger pipelines.

ffmpeg subtitles transcription whisper faster-whisper local-ai vram-aware

Updated Jul 30, 2026
Python

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