Instructions to use luxopes/LuxAI-1-Nemo-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use luxopes/LuxAI-1-Nemo-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Ministral-3-14B-Base-2512") model = PeftModel.from_pretrained(base_model, "luxopes/LuxAI-1-Nemo-LoRA") - Notebooks
- Google Colab
- Kaggle
LuxAI 1 Nemo โ corrective adapter
Text LoRA plus selected, independently trained input/output token rows. Load the base revision in adapter_config.json with BOTH the outer and text configuration tie_word_embeddings flags set to false BEFORE wrapping in PEFT. PEFT 0.20.0 was tested. The complete merged model is publicly available at https://huggingface.co/luxopes/LuxAI-1-Nemo.
See the complete model repository for data attribution, evaluations, and limitations.
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