This is my newest finetuned VibeVoice 7B (Large) model tailored to Hungarian language.
I trained LoRA for the LLM module, performed a full-finetune on the Diffusion head modules, and merged each of them into the base model.
These examples were made with 4bit inference. One can get even better results without quantization.
Sample 1
"Az utcák lassan megteltek emberekkel, ahogy a város ébredezett.
A kávézók teraszain gőzölgő csészék mellett beszélgettek az emberek, miközben a villamos csilingelve gördült el a sarkon.
A levegőben friss péksütemény illata keveredett a tavaszi széllel.
Minden arra utalt, hogy egy nyugodt, szép nap veszi kezdetét."
"Csapzott cserecsapat cserebogár csapongott cserepes cseresznyecsokrok csücskében,
s közben csipcsup csipogással csipkedte csípős csipkebokor csúcsát."
Fine-tuned Model
Base Model
Important Notes: This model is created as part of a fan project for research purposes only and is not intended for commercial use.
The dataset I used might contain material, which are protected by copyright. Users utilize the model at their own risk.
Users are obligated to comply with copyright laws and applicable regulations.
The model has been developed for research purposes, and it is not my intention to infringe on any copyright.
Support
Producing and sharing this kind of open-source work requires renting cloud GPUs, which gets expensive quickly. If you find it useful and would like me to keep contributing, your support is very much appreciated:
