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README.md

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+---
+language: en
+license: apache-2.0
+tags:
+  - minicpm
+  - minicpm-o
+  - multimodal
+  - vision
+  - audio
+  - text-to-speech
+  - tiny-model
+  - random-weights
+model-index:
+  - name: MiniCPM-o-2_6
+    results: []
+---
+
+# Tiny Random MiniCPM-o-2_6
+
+This is a tiny random variant of the MiniCPM-o-2_6 model, specifically created for testing and validation purposes with Optimum-Intel.
+
+## Model Details
+
+- **Model Type**: Multimodal (Vision + Audio + Text-to-Speech)
+- **Original Model**: [openbmb/MiniCPM-o-2_6](https://huggingface.co/openbmb/MiniCPM-o-2_6)
+- **Size**: ~4.4MB (significantly reduced from original 160MB)
+- **Architecture**: MiniCPMO (multimodal architecture)
+- **Purpose**: Testing and validation with Optimum-Intel
+
+## Configuration Changes
+
+This tiny model has the following modifications from the original:
+
+- `hidden_size`: 16 (reduced from original)
+- `intermediate_size`: 32 (reduced from original)
+- `num_hidden_layers`: 1 (reduced from original)
+- `vocab_size`: 32000 (maintained for compatibility)
+- Vision and Audio components significantly reduced in size
+
+## Usage
+
+```python
+from transformers import AutoModel, AutoTokenizer, AutoProcessor
+
+model = AutoModel.from_pretrained("your-username/tiny-random-MiniCPM-o-2_6", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("your-username/tiny-random-MiniCPM-o-2_6", trust_remote_code=True)
+processor = AutoProcessor.from_pretrained("your-username/tiny-random-MiniCPM-o-2_6", trust_remote_code=True)
+```
+
+## Validation
+
+This model has been tested and validated with Optimum-Intel tests:
+- ✅ `test_compare_to_transformers_14_minicpmo`
+- ✅ `test_generate_utils_14_minicpmo`  
+- ✅ `test_model_can_be_loaded_after_saving_14_minicpmo`
+
+## Limitations
+
+⚠️ **Important**: This is a random weights model intended for testing purposes only. It will not produce meaningful outputs and should not be used for production applications.
+
+## License
+
+Apache 2.0