This is a customized version of minishlab/potion-multilingual-128M. It has been quantized to int8 and stripped to optimize for our use case.
Description
- Compression: Quantized from FP32 to Int8.
- Vocabulary Stripping: Pruned from 500k+ tokens to 378k+ tokens (97MB), removing low-frequency non-CJK/Latin scripts.
- Performance: Maintains 99%+ semantic integrity for English and CJK scripts compared to the original model.
- Format: ONNX only.
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minishlab/potion-multilingual-128M
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alikia2x/potion-multilingual-128M-int8-strip") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]