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SwashBuckler001/Llama-3.2-3B-Instruct-LoRA-GLoRE
Llama-3.2-3B-Instruct-LoRA-GLoRE is a text generation model from SwashBuckler001. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.2.
This repository contains a LoRA adapter fine-tuned on Meta-Llama/Llama-3.2-3B-Instruct for multi-class text classification. The model predicts one of the following labels:
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Updated Dec 7, 2025
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From the Hugging Face model README
This repository contains a LoRA adapter fine-tuned on Meta-Llama/Llama-3.2-3B-Instruct for multi-class text classification.
The model predicts one of the following labels:
Yes, No, Neutral, (D), A, B, C, D, E, N, (C), (A)
This adapter can be applied to various text classification tasks and is optimized for efficiency using Low-Rank Adaptation (LoRA).
The LoRA adapter was trained using the following command:
python peft_training.py \
--model-name meta-llama/Llama-3.2-3B-Instruct \
--train-file ../GLoRE/data/splits/train.jsonl \
--output-dir lora-multi \
--classes Yes No Neutral "(D)" A B C D E N "(C)" "(A)"