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whisper.cpp reviews and mentions
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LLMs on your local Computer (Part 1)
The ggml library is one of the first library for local LLM interference. It’s a pure C library that converts models to run on several devices, including desktops, laptops, and even mobile device - and therefore, it can also be considered as a tinkering tool, trying new optimizations, that will then be incorporated into other downstream projects. This tool is at the heart of several other projects, powering LLM interference on desktop or even mobile phones. Subprojects for running specific LLMs or LLM families exists, such as whisper.cpp.
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Voxos.ai – An Open-Source Desktop Voice Assistant
I'm not sure if it is _fully_ openai compatible, but whispercpp has a server bundled that says it is "OAI-like": https://github.com/ggerganov/whisper.cpp/tree/master/example...
I don't have any direct experience with it... I've only played around with whisper locally, using scripts.
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Jarvis: A Voice Virtual Assistant in Python (OpenAI, ElevenLabs, Deepgram)
unless i'm misunderstanding `whisper.cpp` seems to support streaming & the repository includes a native example[0] and a WASM example[1] with a demo site[2].
[0]: https://github.com/ggerganov/whisper.cpp/tree/master/example...
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I've open sourced my Flutter plugin to run on-device LLMs on any platform. TestFlight builds available now.
Usage 1: Good to transcribe audio. An example use case could be to summarize YouTube videos or long courses. Usage 2: You talk with voice to your AI that responds with text (later with audio too). - https://github.com/ggerganov/whisper.cpp
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Scrybble is the ReMarkable highlights to Obsidian exporter I have been looking for
🗣️🎙️ whisper.cpp (offline speech-to-text transcription, models trained by OpenAI, CLI based, browser based)
- FLaNK Stack Weekly 06 Nov 2023
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Talk-Llama
https://github.com/ggerganov/whisper.cpp/issues/352#issuecom...
I'm not sure what changed, but basically I purged ffmpeg and libsdl2-dev and the `make` in the root of the repo. Then I installed libsdl2 and ffmpeg and `make talk-llama`.
It's quite slow on 4 core i7-8550U and 16 GB of RAM.
basically, in the root of the repo:
$ sudo apt purge ffmpeg
I'm getting a "floating point exception" when running ./talk-llama on arch and debian. Already checked sdl2lib and ffmpeg (because of this issue: https://github.com/ggerganov/whisper.cpp/issues/1325) but nothing seems to fix it. Anyone else?
- Distil-Whisper: distilled version of Whisper that is 6 times faster, 49% smaller
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A note from our sponsor - WorkOS
workos.com | 28 Mar 2024
Stats
ggerganov/whisper.cpp is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of whisper.cpp is C.