Instructions to use kromcomp/L3.1-Aura-r16-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kromcomp/L3.1-Aura-r16-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kromcomp/L3.1-Aura-r16-LoRA", dtype="auto") - PEFT
How to use kromcomp/L3.1-Aura-r16-LoRA with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Aura-r16-LoRA
This is a LoRA extracted from a language model. It was extracted using mergekit.
LoRA Details
This LoRA adapter was extracted from AuraIndustries/Aura-8B and uses arcee-ai/Llama-3.1-SuperNova-Lite as a base.
Parameters
The following command was used to extract this LoRA adapter:
mergekit-extract-lora AuraIndustries/Aura-8B arcee-ai/Llama-3.1-SuperNova-Lite OUTPUT_PATH --no-lazy-unpickle --skip-undecomposable --rank=16 --extend-vocab --model_name=Aura-r16-LoRA --verbose
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for kromcomp/L3.1-Aura-r16-LoRA
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct Finetuned
arcee-ai/Llama-3.1-SuperNova-Lite Finetuned
AuraIndustries/Aura-8B
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kromcomp/L3.1-Aura-r16-LoRA", dtype="auto")