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---
library_name: transformers
tags:
- quantization
- 4-bit
- chain-of-zoom
- super-resolution
- complete
- bitsandbytes
base_model: Qwen/Qwen2.5-VL-3B-Instruct
license: apache-2.0
language:
- en
pipeline_tag: image-to-image
---
# Chain-of-Zoom Complete 4-bit Quantized Pipeline
## π Model Description
Complete 4-bit quantized Chain-of-Zoom pipeline with all models
This model is part of the **Chain-of-Zoom 4-bit Quantized Pipeline** - a memory-optimized version of the original Chain-of-Zoom super-resolution framework.
## π― Key Features
- **4-bit Quantization**: Uses BitsAndBytes NF4 quantization for 75% memory reduction
- **Maintained Quality**: Comparable performance to full precision models
- **Google Colab Compatible**: Runs on T4 GPU (16GB VRAM)
- **Memory Efficient**: Optimized for low-resource environments
## π Quantization Details
- **Method**: BitsAndBytes NF4 4-bit quantization
- **Compute dtype**: bfloat16/float16
- **Double quantization**: Enabled
- **Memory reduction**: ~75% compared to original
- **Original memory**: ~12GB β **Quantized**: ~3GB
## π Usage
```python
# Install required packages
pip install transformers accelerate bitsandbytes torch
# Load quantized model
from transformers import BitsAndBytesConfig
import torch
# 4-bit quantization config
bnb_config = BitsAndBytesConfig(
load_in_4bit=True,
bnb_4bit_quant_type="nf4",
bnb_4bit_use_double_quant=True,
bnb_4bit_compute_dtype=torch.bfloat16
)
# Model-specific loading code here
# (See complete notebook for detailed usage)
```
## π Performance
- **Quality**: Maintained performance vs full precision
- **Speed**: 2-3x faster inference
- **Memory**: 75% reduction in VRAM usage
- **Hardware**: Compatible with T4, V100, A100 GPUs
## π§ Technical Specifications
- **Created**: 2025-06-08 17:12:22
- **Quantization Library**: BitsAndBytes
- **Framework**: PyTorch + Transformers
- **Precision**: 4-bit NF4
- **Model Size**: 1.0 MB
## π Citation
```bibtex
@misc{chain-of-zoom-4bit-complete,
title={Chain-of-Zoom 4-bit Quantized Chain-of-Zoom Complete 4-bit Quantized Pipeline},
author={humbleakh},
year={2024},
publisher={Hugging Face},
url={https://huggingface.co/humbleakh/chain-of-zoom-4bit-complete}
}
```
## π Related Models
- [Complete Chain-of-Zoom 4-bit Pipeline](humbleakh/chain-of-zoom-4bit-complete)
- [Original Chain-of-Zoom](https://github.com/bryanswkim/Chain-of-Zoom)
## β οΈ Limitations
- Requires BitsAndBytes library for proper loading
- May have slight quality differences compared to full precision
- Optimized for inference, not fine-tuning
## π License
Apache 2.0 - See original model licenses for specific components.
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