---
license: mit
language:
- en
license_link: https://github.com/FlagOpen/FlagEmbedding/blob/master/LICENSE
base_model: 
  - BAAI/bge-base-en-v1.5
---
# bge-base-en-v1.5-fp16-ov
 * Model creator: [BAAI](https://huggingface.co/BAAI)
 * Original model: [bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5)

## Description
This is [bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2025/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to FP16.

**Disclaimer**: Model is provided as a preview and may be update in the future.

## Compatibility

The provided OpenVINO™ IR model is compatible with:

* OpenVINO version 2025.1.0 and higher
* Optimum Intel 1.24.0 and higher


## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)

1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:

```
pip install "langchain-community>=0.2.15" optimum[openvino] huggingface_hub
```

2. Run model inference:

```
from langchain_community.embeddings import OpenVINOBgeEmbeddings


embedding_model_name = 'OpenVINO/bge-base-en-v1.5-fp16-ov'
embedding_model_kwargs = {"device": "CPU", "compile": False}
encode_kwargs = {
    "mean_pooling": False,
    "normalize_embeddings": True,
    "batch_size": 4,
}

embedding = OpenVINOBgeEmbeddings(
    model_name_or_path=embedding_model_name,
    model_kwargs=embedding_model_kwargs,
    encode_kwargs=encode_kwargs,
)

embedding.ov_model.compile()

text = "This is a test document."
embedding_result = embedding.embed_query(text)
embedding_result[:3]
```

For more examples and possible optimizations, refer to the [Inference with Optimum Intel](https://docs.openvino.ai/2025/openvino-workflow-generative/inference-with-optimum-intel.html).

You can find more detailed usage examples in OpenVINO Notebooks:

- [RAG text generation](https://openvinotoolkit.github.io/openvino_notebooks/?search=RAG+system)

## Limitations

Check the original [model card](https://huggingface.co/BAAI/bge-base-en-v1.5) for limitations.

## Legal information

The original model is distributed under [MIT](https://github.com/FlagOpen/FlagEmbedding/blob/master/LICENSE) license. More details can be found in [bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5).

## Disclaimer

Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.