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openvino_model.bin613946d5c29095bd91d74ead07d15b83247b9e6ad7d576c1f1875e154e880b79
openvino_model.xmlSHA-256 not recorded
tokenizer.jsonSHA-256 not recorded
openvino_tokenizer.bin22c222c383dac6ccc43b495af24d81193b461af6f9c9d3c256aef2b0f2a26175
openvino_detokenizer.bin8a8b1249fca76cc50137fe1d8957952033bed6d18ceedfe497ea46e1b5f69efc
openvino_tokenizer.xmlSHA-256 not recorded
model.safetensors.index.jsonSHA-256 not recorded
openvino_detokenizer.xmlSHA-256 not recorded
tokenizer_config.jsonSHA-256 not recorded
config.jsonSHA-256 not recorded
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README.mdSHA-256 not recorded
special_tokens_map.jsonSHA-256 not recorded
openvino_config.jsonSHA-256 not recorded
added_tokens.jsonSHA-256 not recorded
generation_config.jsonSHA-256 not recorded
This model is a quantized version of microsoft/Phi-3.5-mini-instruct and is converted to the OpenVINO format. This model was obtained via the nncf-quantization space with optimum-intel.
First make sure you have optimum-intel installed:
pip install optimum[openvino]
To load your model you can do as follows:
from optimum.intel import OVModelForCausalLM
model_id = "AlexKoff88/Phi-3.5-mini-instruct-openvino-8bit"
model = OVModelForCausalLM.from_pretrained(model_id)
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