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README.md
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---
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library_name: transformers
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tags:
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- minicpm
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- intel
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- optimum-intel
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- tiny-random
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- openvino
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---
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# Tiny-Random MiniCPM-o-2_6 for Testing
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This is a minimal, randomly initialized version of the **MiniCPM-o-2_6** architecture. It is designed specifically for **CI/CD testing** and unit tests in libraries like `optimum-intel`.
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## Model Details
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- **Architecture:** MiniCPMForCausalLM
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- **Hidden Size:** 24
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- **Layers:** 1
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- **Precision:** BF16
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- **Total Size:** ~5.9 MB (under the 6MB requirement)
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## Intended Use
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This model is NOT for actual inference or text generation. It is used to verify that integration pipelines (like OpenVINO conversion and quantization) are working correctly without the need to download several gigabytes of data.
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## Verification
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The model has been verified to:
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1. Load via `AutoModelForCausalLM`.
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2. Perform a successful forward pass.
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3. Fit within the strict 6MB size limit for lightweight testing suites.
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