Instructions to use MrDragonFox/baddy_S2_EXP_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use MrDragonFox/baddy_S2_EXP_3 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for MrDragonFox/baddy_S2_EXP_3 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for MrDragonFox/baddy_S2_EXP_3 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for MrDragonFox/baddy_S2_EXP_3 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="MrDragonFox/baddy_S2_EXP_3", max_seq_length=2048, )
(m)orpheus t(i)t(t)s
- Uncensored Orpheus tts
finetune of orpheus on uncensored/ (un)alingned data to be able to generate more interresting sounds
SEASION2 - Experiment 3
speaker name is "baddy" - trained on base prob. final checkpoint for the time beeing
seems to even work with voice cloneing fine if you keep the speaker as baddy
bug reports / recommendations please in the discord https://discord.gg/RUs3uzBdW3
training still under way
does less tags but generalise rather well
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