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qwen3.5-2b-4bit-parts-classifier
Stepan222/qwen3.5-2b-4bit-parts-classifier
qwen3.5-2b-4bit-parts-classifier is a image-text-to-text model from Stepan222. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Fine-tuned Qwen3.5-2B (4-bit QLoRA, merged to 16-bit) for classifying auto parts listings as good (original new OEM part) or bad (catalog photo / used / aftermarket).
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2.2B
4.4 GB on disk
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3_5
- Access
- Public
- Created
- Mar 8, 2026
- Updated
- Mar 8, 2026
- SHA
- be56c207
Base models
Model card
From the Hugging Face model README
Qwen3.5-2B Parts Classifier
Fine-tuned Qwen3.5-2B (4-bit QLoRA, merged to 16-bit) for classifying auto parts listings as good (original new OEM part) or bad (catalog photo / used / aftermarket).
Usage
from transformers import AutoModelForImageTextToText, AutoProcessor
from PIL import Image
model = AutoModelForImageTextToText.from_pretrained("Stepan222/qwen3.5-2b-4bit-parts-classifier")
processor = AutoProcessor.from_pretrained("Stepan222/qwen3.5-2b-4bit-parts-classifier")
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen3_5
- License
- apache-2.0
- Languages
- ru, en
- Created
- Mar 8, 2026
- Updated
- Mar 8, 2026