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tiny-random-minicpm-o-2_6
ahmedzk11/tiny-random-minicpm-o-2_6
tiny-random-minicpm-o-2_6 is a machine learning model from ahmedzk11. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Tiny random initialization of MiniCPM-o-2.6 for Optimum-Intel validation testing.
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At a glance
- License
- apache-2.0
- Model type
- minicpmo
- Access
- Public
- Created
- Jan 4, 2026
- Updated
- Jan 7, 2026
- SHA
- 624f0a08
Model card
From the Hugging Face model README
Tiny Random MiniCPM-o-2.6
Tiny random initialization of MiniCPM-o-2.6 for Optimum-Intel validation testing.
Model Details
- Architecture: MiniCPM-o-2.6
- Size: 37.70MB
- Purpose: Testing and validation only (not trained)
- Created for: Optimum-Intel integration tests
Configuration
hidden_size: 128
num_hidden_layers: 2
num_attention_heads: 2
intermediate_size: 256
vocab_size: 1000
max_position_embeddings: 512
torch_dtype: bfloat16
Usage
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained(
"ahmedzk11/tiny-random-minicpm-o-2_6",
trust_remote_code=True
)
tokenizer = AutoTokenizer.from_pretrained(
"ahmedzk11/tiny-random-minicpm-o-2_6",
trust_remote_code=True
)
Testing
This model is used in Optimum-Intel validation tests for MiniCPM-o-2.6 architecture.
Note: This model has random weights and is NOT suitable for actual inference tasks.
- Type
- minicpmo
- License
- apache-2.0
- Created
- Jan 4, 2026
- Updated
- Jan 7, 2026