gte-multilingual-base
RK3588
|
LlamaPi Ready
Model Overview
| Item | Details |
|---|---|
| Original model | gte-multilingual-base (ModelScope | Hugging Face) |
| Original developer | Alibaba-NLP |
| Model type | Text embedding |
| Target platform | RK3588 |
| Converted by | Firefly AI Team |
| Deployment tool | LlamaPi |
Run with LlamaPi
llamapi pull gte-multilingual-base
llamapi load gte-multilingual-base
Use the loaded model through LlamaPi's embeddings API. See the LlamaPi Wiki for setup and usage.
About the Original Model
gte-multilingual-base is a multilingual text embedding model in the GTE family from Alibaba-NLP.
- Achieves state-of-the-art multilingual retrieval performance among similarly sized models.
- Uses an encoder-only architecture with lower inference requirements and roughly 10x faster inference than decoder-based embedding models.
- Supports over 70 languages and inputs up to 8,192 tokens, with elastic dense embeddings and sparse vectors.
License & Attribution
The models provided in this repository are converted and adapted by the Firefly AI team from the original models. All intellectual property rights and copyright in the underlying original models remain with the original official team, and their distribution is governed by the corresponding official open-source license.