Instructions to use kromcomp/L3-Nephra-r256-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kromcomp/L3-Nephra-r256-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "kromcomp/L3-Nephra-r256-LoRA") - Notebooks
- Google Colab
- Kaggle
Nephra-r256-LoRA
This is a LoRA extracted from a language model. It was extracted using mergekit.
LoRA Details
This LoRA adapter was extracted from yodayo-ai/nephra_v1.0 and uses NousResearch/Meta-Llama-3-8B as a base.
Parameters
The following command was used to extract this LoRA adapter:
/usr/local/bin/mergekit-extract-lora --out-path=loras/Nephra-r256-LoRA --model=yodayo-ai/nephra_v1.0 --base-model=NousResearch/Meta-Llama-3-8B --no-lazy-unpickle --max-rank=256 --gpu-rich -v --embed-lora --skip-undecomposable
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Base model
NousResearch/Meta-Llama-3-8B