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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 |