Bge large en v1.5
Model Overview¶
The BAAI/bge-large-en-v1.5 model is a text embedding model developed by the Beijing Academy of Artificial Intelligence (BAAI), that can map any text to a low-dimensional dense vector for tasks like retrieval, classification, and semantic search. The model can be fine-tuned on your own data to improve its performance on domain-specific tasks.
Model inputs and outputs
Inputs
Text sequences of up to 512 tokens
Outputs
1024-dimensional dense vector embeddings
- Model Source: BAAI/bge-large-en-v1.5
- License: MIT License
QPC Configurations¶
| Batch Size | SEQUENCE LENGTH | CORES | SoCs | QPC URL | QPC Size | QPC Download | Onnx URL | Onnx Download | Generation Date |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 512 | 8 | 1 | https://dc00tk1pxen80.cloudfront.net/SDK1.20.4/BAAI/bge-large-en-v1.5/BAAI--bge-large-en-v1.5_qpc_8cores_1bs_512seqlen_1devices_sdk1_20_4.tar.gz | 641MB | Download | https://dc00tk1pxen80.cloudfront.net/SDK1.20.4/BAAI/bge-large-en-v1.5/BAAI--bge-large-en-v1.5_ONNX_sdk1_20_4.tar.gz | Download | 26-June-2026 |