Awesome
<img src="https://ptsochantaris.github.io/trailer/EmeltalLogo.webp" alt="Logo" width=256 align="right">Emeltal
The wise cheese
Local ML voice chat using high-end models, aiming for a self contained, user-friendly out-of-the-box experience as much as possible.
This is a work in progress with frequent updates; TestFlight builds are available here.
Selection | Full | Mini |
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<img src="https://ptsochantaris.github.io/trailer/EmeltalScreenshot0.png" alt="Screenshot 0"> | <img src="https://ptsochantaris.github.io/trailer/EmeltalScreenshot1.png" alt="Screenshot 1"> | <img src="https://ptsochantaris.github.io/trailer/EmeltalScreenshot2.png" alt="Screenshot 2"> |
Emellink
A light helper app which can run on an iPhone or device with not enough processing power, which automatically detects and connects to Emeltal on the network and provides the same voice interface. Testflight link for this app is here
Currently supported models
Emeltal offers a hand-picked list of proven open-source high-performance models, aiming to provide the best model for each category/size combination. This list often changes and expands as new models become available, or others are superceeded by much better performing ones. All models run at their maximum context size.
General Chat
Dolphin Series
Samantha Series
Smaug Series
Llama Series
Coding
Experimental
Creative
Voice Recognition
Packages
- Emeltal heavily relies on the llama.cpp for LLM processing, and whisper.cpp for voice recognition.
- Text rendering uses Ink to convert between Markdown and HTML.
- Uses my PopTimer for debouncing things.
License
Released under the terms of the MIT license, see the LICENSE file for license rights and limitations (MIT).
All model data which is downloaded locally by the app comes from HuggingFace, and use of the models and data is subject to the respective license of each specific model.
Copyright
Copyright (c) 2023-2024 Paul Tsochantaris