Bonsai-27B-GGUF
lmstudio-community · Kit
A GGUF conversion of the 27B Bonsai model for LM Studio, with a 3.80 GB Q1_0 language file and a 0.93 GB BF16 vision projector. Tested for text, vision and par…
A Gradio app from the Ultimate RVC project for voice conversion, source separation, feature extraction and training, which runs online or on your computer with Python 3.12.7.
Ultimate RVC is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download JackismyShephard/ultimate-rvc --repo-type space --local-dir ultimate-rvc cd ultimate-rvc
Ultimate RVC is a Gradio app from JackismyShephard, published as a Hugging Face Space under the name The Ultimate RVC Project. It covers voice conversion, source separation, feature extraction and training. The Space runs on cpu-basic hardware at Hugging Face, so heavy jobs are slow.
People who work with voice audio and want to try voice conversion or source separation, and developers who want the app's files to read or run themselves.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Audio production | Sound editors | Run voice conversion or source separation on audio | Splitting a recording into its separate sources |
| Machine learning | Audio developers | Use the training and feature extraction functions | Starting a training run for a voice model |
| Software development | Gradio developers | Download the files and read app.py | Studying how a multi-function audio app is wired up |
Skip the online Space if you need quick results, since heavy requests are handled one at a time on cpu-basic hardware.
Ultimate RVC runs in these places.
| Use case | Who | What they get back |
|---|---|---|
| Convert a voice | Audio users | Audio with its voice converted |
| Separate sources | Audio editors | A recording split into its sources |
| Train a model | ML developers | A trained voice model, after a long run |
Online use needs only a browser. A local copy needs a few things first.
pip install -U huggingface_hub hf download JackismyShephard/ultimate-rvc --repo-type space --local-dir ultimate-rvc cd ultimate-rvc pip install gradio==5.49.1 pip install -r requirements.txt python app.py
Online, open the Space's page and start a job. Heavy requests wait in line, so you may sit behind other users. On your own computer, start the app from the folder with the command below.
python app.py
| Tool | What it does |
|---|---|
| Voice conversion | Changes the voice in audio |
| Source separation | Splits audio into its sources |
| Feature extraction | Pulls features out of audio |
| Training | Trains a model, and takes the longest |
| python app.py | Starts the Gradio app from the main file |
You open the Space and start a voice conversion on an audio file. Because heavy requests are handled one at a time on cpu-basic hardware, you may wait behind other users before the result comes back.
If you are new, open the Space's page and try the lightest job first. Training is the slowest, so leave it for a local copy on a GPU.
If you know the field, the Space is a front end that queues compute-heavy requests one at a time. A local copy with a supported GPU, or the Colab notebook, gives much faster processing. The repository is tiny, with an app file and a requirements list, and a local copy pins Gradio 5.49.1.
Your Hugging Face account and plan decide if you can copy this Space and what hardware you can give it.
A Gradio app from the Ultimate RVC project for voice conversion, source separation, feature extraction and training, which runs online or on your computer with Python 3.12.7.
Made by JackismyShephard on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: Ultimate RVC is a Gradio app from JackismyShephard, published as a Hugging Face Space under the name The Ultimate RVC Project. It covers voice conversion, source separation, feature extraction and training. The Space runs on cpu-basic hardware at Hugging Face, so heavy jobs are slow.
Who it suits: People who work with voice audio and want to try voice conversion or source separation, and developers who want the app's files to read or run themselves.
Industry | Who uses it | How they use it | Example
Audio production | Sound editors | Run voice conversion or source separation on audio | Splitting a recording into its separate sources
Machine learning | Audio developers | Use the training and feature extraction functions | Starting a training run for a voice model
Software development | Gradio developers | Download the files and read app.py | Studying how a multi-function audio app is wired up
Skip the online Space if you need quick results, since heavy requests are handled one at a time on cpu-basic hardware.
Where to use it: Ultimate RVC runs in these places.
Use case | Who | What they get back
Convert a voice | Audio users | Audio with its voice converted
Separate sources | Audio editors | A recording split into its sources
Train a model | ML developers | A trained voice model, after a long run
How to set it up: Online use needs only a browser. A local copy needs a few things first.
pip install -U huggingface_hub
hf download JackismyShephard/ultimate-rvc --repo-type space --local-dir ultimate-rvc
cd ultimate-rvc
pip install gradio==5.49.1
pip install -r requirements.txt
python app.py
How to use it: Online, open the Space's page and start a job. Heavy requests wait in line, so you may sit behind other users. On your own computer, start the app from the folder with the command below.
python app.py
Tool | What it does
Voice conversion | Changes the voice in audio
Source separation | Splits audio into its sources
Feature extraction | Pulls features out of audio
Training | Trains a model, and takes the longest
python app.py | Starts the Gradio app from the main file
Example: You open the Space and start a voice conversion on an audio file. Because heavy requests are handled one at a time on cpu-basic hardware, you may wait behind other users before the result comes back.
For newcomers and experts: If you are new, open the Space's page and try the lightest job first. Training is the slowest, so leave it for a local copy on a GPU.
If you know the field, the Space is a front end that queues compute-heavy requests one at a time. A local copy with a supported GPU, or the Colab notebook, gives much faster processing. The repository is tiny, with an app file and a requirements list, and a local copy pins Gradio 5.49.1.
Open the Space or run app.py
Start a job in the app
Heavy requests queue one at a time
The result comes back
Good to know: Your Hugging Face account and plan decide if you can copy this Space and what hardware you can give it.
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 5 KB
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