metadata
base_model: infly/OpenCoder-1.5B-Instruct
datasets:
- OpenCoder-LLM/opencoder-sft-stage1
- OpenCoder-LLM/opencoder-sft-stage2
language:
- en
- zh
library_name: transformers
license: other
license_name: inf
license_link: https://huggingface.co/infly/OpenCoder-1.5B-Instruct/blob/main/LICENSE
pipeline_tag: text-generation
tags:
- openvino
- nncf
- 4-bit
base_model_relation: quantized
This model is a quantized version of infly/OpenCoder-1.5B-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 = "AIFunOver/OpenCoder-1.5B-Instruct-openvino-4bit"
model = OVModelForCausalLM.from_pretrained(model_id)