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Sponsored by
Vmake Labs Video Enhancer
alphaedge-ai / granite-embedding-107m-arb-16384
Model's Last Updated: May 20 2026
sentence-similarity
Introduction of granite-embedding-107m-arb-16384
Model Details of granite-embedding-107m-arb-16384
granite-embedding-107m-arb-16384
This model is a
83.84% smaller
version of
ibm-granite/granite-embedding-107m-multilingual
optimized for
Arabic
language via vocabulary size reduction using the
trimming
method.
This trimmed model should perform similarly to the original model with only 16,384 tokens and a much smaller memory footprint. However, it may not perform well for other languages as tokens not commonly used in the selected languages were removed from the vocabulary.
Model Statistics
| Metric | Original | Trimmed | Reduction |
|---|---|---|---|
| Vocabulary size | 250,002 tokens | 16,384 tokens | 93.45% |
| Model size | 106,994,304 params | 17,284,992 params | 83.84% |
Mining Dataset Statistics
- Number of texts used for mining : 200,000 texts
- Dataset : lbourdois/fineweb-2-trimming
Usage
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("alphaedge-ai/granite-embedding-107m-arb-16384")
# Run inference with queries and documents
query = "My query in Arabic"
documents = [
"Chunk in Arabic",
"Chunk in Arabic",
"Chunk in Arabic",
]
query_embeddings = model.encode_query(query)
document_embeddings = model.encode_document(documents)
print(query_embeddings.shape, document_embeddings.shape)
# Compute similarities to determine a ranking
similarities = model.similarity(query_embeddings, document_embeddings)
print(similarities)
Citations
Granite Embedding Models
@misc{awasthy2025graniteembeddingmodels,
title={Granite Embedding Models},
author={Parul Awasthy and Aashka Trivedi and Yulong Li and Mihaela Bornea and David Cox and Abraham Daniels and Martin Franz and Gabe Goodhart and Bhavani Iyer and Vishwajeet Kumar and Luis Lastras and Scott McCarley and Rudra Murthy and Vignesh P and Sara Rosenthal and Salim Roukos and Jaydeep Sen and Sukriti Sharma and Avirup Sil and Kate Soule and Arafat Sultan and Radu Florian},
year={2025},
eprint={2502.20204},
archivePrefix={arXiv},
primaryClass={cs.IR},
url={https://arxiv.org/abs/2502.20204},
}
Trimming blog post
@misc{hf_blogpost_trimming,
title={Introduction to Trimming},
author={Loïck BOURDOIS and Tom AARSEN and Bram VANROY and Christopher AKIKI and Woojun JUNG and Manuel ROMERO and Prithiv SAKTHI},
year={2026},
url={https://huggingface.co/blog/lbourdois/introduction-to-trimming},
}
Runs of alphaedge-ai granite-embedding-107m-arb-16384 on huggingface.co
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More Information About granite-embedding-107m-arb-16384 huggingface.co Model
Url of granite-embedding-107m-arb-16384
granite-embedding-107m-arb-16384 huggingface.co Url
Provider of granite-embedding-107m-arb-16384 huggingface.co
Other API from alphaedge-ai
Updated:May 20 2026
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