Transformers
Safetensors
heartmula
music-generation
4bit
quantized
bitsandbytes
nf4
comfyui
4-bit precision
Instructions to use PavonicAI/HeartMuLa-3B-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PavonicAI/HeartMuLa-3B-4bit with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import HeartMuLa model = HeartMuLa.from_pretrained("PavonicAI/HeartMuLa-3B-4bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download demos/Forged_in_Code.mp3 from PavonicAI/HeartMuLa-3B-4bit: direct link, hf CLI and curl.
- Browser
- Download file 4.81 MB
-
https://huggingface.co/PavonicAI/HeartMuLa-3B-4bit/resolve/main/demos/Forged_in_Code.mp3
- Command line
-
hf download hf://PavonicAI/HeartMuLa-3B-4bit/demos/Forged_in_Code.mp3
-
curl -L -o Forged_in_Code.mp3 https://huggingface.co/PavonicAI/HeartMuLa-3B-4bit/resolve/main/demos/Forged_in_Code.mp3
4.81 MB
- Xet hash:
- a4a7b1026b65cf4eefcd22ead3f40eeb7582bfe966e1c0b8de20e1e661052333
- Size of remote file:
- 4.81 MB
- SHA256:
- e60e580aaae29cef21572570c8606d5e3c1be6b9156f87679c94f88fd165aec1
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