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  # Chronos o1 1.5B - Quantum-Classical model
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  **A hybrid quantum-classical model combining VibeThinker-1.5B with quantum kernel methods**
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  pip install torch transformers numpy scikit-learn
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  ```
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- ### GGUF Models (llama.cpp)
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- For CPU inference with llama.cpp:
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- - `chronos-o1-1.5b-f16.gguf` - Full precision (3.0GB)
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- - `chronos-o1-1.5b-q8_0.gguf` - 8-bit quantization (1.6GB)
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- - `chronos-o1-1.5b-q4_k_m.gguf` - 4-bit quantization (900MB)
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- - `chronos-o1-1.5b-q3_k_m.gguf` - 3-bit quantization (700MB)
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  ## Usage
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  ### Python Inference
 
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  # Chronos o1 1.5B - Quantum-Classical model
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+ ![chronos](https://cdn-uploads.huggingface.co/production/uploads/67329d3f69fded92d56ab41a/mkH0yazAc13v0gvi04RIF.jpeg)
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  **A hybrid quantum-classical model combining VibeThinker-1.5B with quantum kernel methods**
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  pip install torch transformers numpy scikit-learn
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  ```
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  ## Usage
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  ### Python Inference