Instructions to use kromcomp/L3.1-Spark-r64-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kromcomp/L3.1-Spark-r64-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("grimjim/Llama-3.1-SuperNova-Lite-lorabilterated-8B") model = PeftModel.from_pretrained(base_model, "kromcomp/L3.1-Spark-r64-LoRA") - Notebooks
- Google Colab
- Kaggle
Spark-r64-LoRA
This is a LoRA extracted from a language model. It was extracted using mergekit.
LoRA Details
This LoRA adapter was extracted from Epiculous/NovaSpark and uses grimjim/Llama-3.1-SuperNova-Lite-lorabilterated-8B as a base.
Parameters
The following command was used to extract this LoRA adapter:
mergekit-extract-lora Epiculous/NovaSpark grimjim/Llama-3.1-SuperNova-Lite-lorabilterated-8B OUTPUT_PATH --no-lazy-unpickle --skip-undecomposable --rank=64 --extend-vocab --model_name=Spark-r64-LoRA --verbose
- Downloads last month
- 1
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for kromcomp/L3.1-Spark-r64-LoRA
Finetuned
Epiculous/NovaSpark