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bge-m3
quantize https://huggingface.co/BAAI/bge-m3 to f16 / q8_0 (latest) / q4_k_m
embedding587.5K Pulls 4 Tags Updated 8 months ago
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bge-large-en-v1.5
quantize https://huggingface.co/BAAI/bge-large-en-v1.5 to f16 / q8_0 (latest) / q4_k_m
embedding19.4K Pulls 4 Tags Updated 8 months ago
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bce-reranker-base_v1
quantize https://huggingface.co/maidalun1020/bce-reranker-base_v1 to f16 / q8_0 (latest) / q4_k_m
embedding13.3K Pulls 4 Tags Updated 8 months ago
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bge-reranker-v2-m3
quantize https://huggingface.co/BAAI/bge-reranker-v2-m3 to f16 / q8_0 (latest) / q4_k_m
embedding12.9K Pulls 4 Tags Updated 8 months ago
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bge-reranker-large
quantize https://huggingface.co/BAAI/bge-reranker-large to f16 / q8_0 (latest) / q4_k_m
embedding7,586 Pulls 4 Tags Updated 8 months ago
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bge-large-zh-v1.5
quantize https://huggingface.co/BAAI/bge-large-zh-v1.5 to f16 / q8_0 (latest) / q4_k_m
embedding1,886 Pulls 4 Tags Updated 8 months ago
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bge-small-en-v1.5
quantize https://huggingface.co/BAAI/bge-small-en-v1.5 to f16 / q8_0 (latest) / q4_k_m
embedding1,390 Pulls 4 Tags Updated 8 months ago
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multilingual-e5-base
quantize https://huggingface.co/intfloat/multilingual-e5-base to f16 / q8_0 (latest) / q4_k_m
embedding1,347 Pulls 4 Tags Updated 8 months ago
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bce-embedding-base_v1
quantize https://huggingface.co/maidalun1020/bce-embedding-base_v1 to f16 / q8_0 (latest) / q4_k_m
embedding815 Pulls 4 Tags Updated 8 months ago
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bge-small-zh-v1.5
quantize https://huggingface.co/BAAI/bge-small-zh-v1.5 to f16 / q8_0 (latest) / q4_k_m
embedding736 Pulls 4 Tags Updated 8 months ago
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multilingual-e5-large-instruct
quantize https://huggingface.co/intfloat/multilingual-e5-large-instruct to f16 / q8_0 (latest) / q4_k_m
embedding568 Pulls 4 Tags Updated 8 months ago
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multilingual-e5-small
quantize https://huggingface.co/intfloat/multilingual-e5-small to f16 / q8_0 (latest) / q4_k_m
embedding419 Pulls 4 Tags Updated 8 months ago
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multilingual-e5-large
quantize https://huggingface.co/intfloat/multilingual-e5-large to f16 / q8_0 (latest) / q4_k_m
embedding316 Pulls 4 Tags Updated 8 months ago
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acge_text_embedding
quantize https://huggingface.co/aspire/acge_text_embedding to f16 / q8_0 (latest) / q4_k_m
embedding200 Pulls 4 Tags Updated 8 months ago
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gemma3-sms
SMS OTP Extractor is a lightweight model that accurately captures one-time passwords from SMS messages. It ignores noise such as links or signatures and outputs only the clean code. Fast, private, and easy to integrate, it works across different languages
12 Pulls 4 Tags Updated 2 months ago