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Phi-3.5-mini-instruct-bnb-4bit
medmekk/Phi-3.5-mini-instruct-bnb-4bit
Phi-3.5-mini-instruct-bnb-4bit is a machine learning model from medmekk. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a quantized version of the original model medmekk/Phi-3.5-mini-instruct-bnb-4bit. It has been quantized using int4 quantization with bitsandbytes.
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Model card
From the Hugging Face model README
medmekk/Phi-3.5-mini-instruct-bnb-4bit (Quantized)
Description
This model is a quantized version of the original model medmekk/Phi-3.5-mini-instruct-bnb-4bit. It has been quantized using int4 quantization with bitsandbytes.
Quantization Details
- Quantization Type: int4
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
- bnb_4bit_quant_storage: uint8
Usage
You can use this model in your applications by loading it directly from the Hugging Face Hub:
from transformers import AutoModel
model = AutoModel.from_pretrained("medmekk/Phi-3.5-mini-instruct-bnb-4bit")
- Type
- phi3
- Created
- Mar 18, 2025
- Updated
- Mar 18, 2025