PEFT
Safetensors
English
audio-language-model
audio-question-answering
lora
mizar
rt-opd
knowledge-distillation
Instructions to use KaiyangLi/Mizar-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KaiyangLi/Mizar-3B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("KE-Team/Ke-Omni-R-3B") model = PeftModel.from_pretrained(base_model, "KaiyangLi/Mizar-3B") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from KaiyangLi/Mizar-3B: direct link, hf CLI and curl.
- Browser
- Download file 480 MB
-
https://huggingface.co/KaiyangLi/Mizar-3B/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://KaiyangLi/Mizar-3B/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/KaiyangLi/Mizar-3B/resolve/main/adapter_model.safetensors
480 MB
- Xet hash:
- c7f535dff36934760ec50ca98fb793979183e43d2e1b6b07c603ded463b7f7fc
- Size of remote file:
- 480 MB
- SHA256:
- c53a801a364b714f5bd351a9b5bec292676c1b37253197b7e92121e08f0215de
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