Instructions to use tavtav/Magnum-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tavtav/Magnum-v5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("C:\Users\Tav\Downloads\Hamanasu-KTO-V2") model = PeftModel.from_pretrained(base_model, "tavtav/Magnum-v5") - Notebooks
- Google Colab
- Kaggle
File size: 724 Bytes
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base_model: []
library_name: peft
tags:
- mergekit
- peft
---
# Hamanasu-Lora-Extracted
This is a LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
## LoRA Details
This LoRA adapter was extracted from C:\Users\Tav\Downloads\Hamanasu-Magnum-4B-Ckpts and uses C:\Users\Tav\Downloads\Hamanasu-KTO-V2 as a base.
### Parameters
The following command was used to extract this LoRA adapter:
```sh
E:\Users\Tav\miniconda3\Scripts\mergekit-extract-lora --model C:\Users\Tav\Downloads\Hamanasu-Magnum-4B-Ckpts --base-model C:\Users\Tav\Downloads\Hamanasu-KTO-V2 --out-path C:\Users\Tav\Downloads\Hamanasu-Lora-Extracted --max-rank=128
```
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