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# Model Card for Model ID
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A 4-bits quantized version of [ernestoBocini/Phi3-mini-DPO-Tuned](https://huggingface.co/ernestoBocini/Phi3-mini-DPO-Tuned).
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## Model Details
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This is a Phi-3-mini-4k-instruct fine-tuned with SFT and DPO on STEM domains, and finally quantized to a 4 bits precision, to serve the purpose of being an AI university tutor.
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# Model Card for Model ID
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A 4-bits double-quantized version of [ernestoBocini/Phi3-mini-DPO-Tuned](https://huggingface.co/ernestoBocini/Phi3-mini-DPO-Tuned).
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## Model Details
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This is a Phi-3-mini-4k-instruct fine-tuned with SFT and DPO on STEM domains, and finally quantized to a 4 bits precision, to serve the purpose of being an AI university tutor.
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Quantization config used:
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```python
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BitsAndBytesConfig(
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load_in_4bit=True,
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bnb_4bit_quant_type="nf4",
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bnb_4bit_use_double_quant=True,
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bnb_4bit_compute_dtype=torch.bfloat16
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)
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```
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