README.md

---
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`](https://huggingface.co/infly/OpenCoder-1.5B-Instruct) and is converted to the OpenVINO format. This model was obtained via the [nncf-quantization](https://huggingface.co/spaces/echarlaix/nncf-quantization) space with [optimum-intel](https://github.com/huggingface/optimum-intel).
First make sure you have `optimum-intel` installed:
```bash
pip install optimum[openvino]
```
To load your model you can do as follows:
```python
from optimum.intel import OVModelForCausalLM
model_id = "AIFunOver/OpenCoder-1.5B-Instruct-openvino-4bit"
model = OVModelForCausalLM.from_pretrained(model_id)
```