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Sponsored by
PoYo.AI
alphaedge-ai / bge-m3-mkd-16384
Model's Last Updated: May 20 2026
sentence-similarity
Introduction of bge-m3-mkd-16384
Model Details of bge-m3-mkd-16384
bge-m3-mkd-16384
This model is a
42.14% smaller
version of
BAAI/bge-m3
optimized for Macedonian 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 | 567,754,752 params | 328,529,920 params | 42.14% |
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/bge-m3-mkd-16384")
# Run inference with queries and documents
query = "My query in Macedonian"
documents = [
"Chunk in Macedonian",
"Chunk in Macedonian",
"Chunk in Macedonian",
]
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
BGE-M3
@misc{bge-m3,
title={BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation},
author={Jianlv Chen and Shitao Xiao and Peitian Zhang and Kun Luo and Defu Lian and Zheng Liu},
year={2024},
eprint={2402.03216},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
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 bge-m3-mkd-16384 on huggingface.co
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More Information About bge-m3-mkd-16384 huggingface.co Model
Url of bge-m3-mkd-16384
bge-m3-mkd-16384 huggingface.co Url
Provider of bge-m3-mkd-16384 huggingface.co
Other API from alphaedge-ai
Updated:May 20 2026
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