Instructions to use kromcomp/L3-Nymph-r128-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kromcomp/L3-Nymph-r128-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("merge/f32-instruct") model = PeftModel.from_pretrained(base_model, "kromcomp/L3-Nymph-r128-LoRA") - Notebooks
- Google Colab
- Kaggle
Nymph-r128-LoRA
This is a LoRA extracted from a language model. It was extracted using mergekit.
LoRA Details
This LoRA adapter was extracted from merge/f32-Nymph and uses merge/f32-instruct as a base.
Parameters
The following command was used to extract this LoRA adapter:
/usr/local/bin/mergekit-extract-lora --out-path=loras/Nymph-r128-LoRA --model=merge/f32-Nymph --base-model=merge/f32-instruct --no-lazy-unpickle --max-rank=128 --sv-epsilon=0 --cuda -v -e lm_head
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