metadata
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
- 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
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