---
license: mit
datasets:
- openai/MMMLU
- argilla/FinePersonas-v0.1
- SkunkworksAI/reasoning-0.01
- fka/awesome-chatgpt-prompts
metrics:
- accuracy
- bleu
- bertscore
- bleurt
base_model:
- meta-llama/Llama-3.2-11B-Vision-Instruct
- nvidia/NVLM-D-72B
- openai/whisper-large-v3-turbo
new_version: meta-llama/Llama-3.1-8B-Instruct
pipeline_tag: question-answering
library_name: adapter-transformers
---

from transformers import 


from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("undefined")
model.load_adapter("Wilderss/QuantumedgeAI", set_active=True)


from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("undefined")
model.load_adapter("Wilderss/QuantumedgeAI", set_active=True)