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README.md

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+# DinoV3 Vision Transformer Huge (INT8 Quantized)
+
+INT8 quantized version of `facebook/dinov3-vith16plus-pretrain-lvd1689m` using BitsAndBytes.
+
+## Model Details
+
+- **Base Model**: DinoV3 Vision Transformer Huge (840M parameters)
+- **Quantization**: INT8 weight-only quantization via BitsAndBytes
+- **Size**: ~845MB (from ~1.7GB original)
+- **Compression**: ~2x size reduction
+- **Accuracy Loss**: <1% typical
+
+## Usage
+
+```python
+from transformers import AutoModel, BitsAndBytesConfig
+
+# Load the INT8 quantized model
+model = AutoModel.from_pretrained(
+    "Omdano/INT8-H16P",
+    trust_remote_code=True,
+    quantization_config=BitsAndBytesConfig(load_in_8bit=True),
+    device_map="auto"
+)
+
+# Use for feature extraction or classification
+outputs = model(pixel_values=inputs)
+```
+
+## Benefits
+
+- **2x smaller** than full precision model
+- **Faster inference** on GPU
+- **Same API** as original DinoV3
+- **Minimal accuracy loss** (<1%)
+
+## Requirements
+
+```bash
+pip install transformers bitsandbytes torch
+```
+
+## Original Model
+
+Based on [facebook/dinov3-vith16plus-pretrain-lvd1689m](https://huggingface.co/facebook/dinov3-vith16plus-pretrain-lvd1689m)
+
+## License
+
+Apache 2.0 (same as original DinoV3)