Instructions to use kromcomp/L3-Gradient-1048k-r256-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kromcomp/L3-Gradient-1048k-r256-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "kromcomp/L3-Gradient-1048k-r256-LoRA") - Notebooks
- Google Colab
- Kaggle
Gradient-1048k-r256-LoRA
This is a LoRA extracted from a language model. It was extracted using mergekit.
LoRA Details
This LoRA adapter was extracted from gradientai/Llama-3-8B-Instruct-Gradient-1048k and uses NousResearch/Meta-Llama-3-8B-Instruct as a base.
Parameters
The following command was used to extract this LoRA adapter:
/usr/local/bin/mergekit-extract-lora --out-path=loras/Gradient-1048k-r256-LoRA --model=gradientai/Llama-3-8B-Instruct-Gradient-1048k --base-model=NousResearch/Meta-Llama-3-8B-Instruct --no-lazy-unpickle --max-rank=256 --gpu-rich -v --embed-lora --skip-undecomposable
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Model tree for kromcomp/L3-Gradient-1048k-r256-LoRA
Base model
NousResearch/Meta-Llama-3-8B-Instruct