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bge-m3
quantize https://huggingface.co/BAAI/bge-m3 to f16 / q8_0 (latest) / q4_k_m
embedding604.2K Pulls 4 Tags Updated 9 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
embedding22K Pulls 4 Tags Updated 9 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
embedding19.8K Pulls 4 Tags Updated 9 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
embedding13.5K Pulls 4 Tags Updated 9 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
embedding8,335 Pulls 4 Tags Updated 9 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
embedding2,029 Pulls 4 Tags Updated 9 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
embedding1,765 Pulls 4 Tags Updated 9 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
embedding1,440 Pulls 4 Tags Updated 9 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
embedding868 Pulls 4 Tags Updated 9 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
embedding862 Pulls 4 Tags Updated 9 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
embedding783 Pulls 4 Tags Updated 9 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
embedding535 Pulls 4 Tags Updated 9 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
embedding431 Pulls 4 Tags Updated 9 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
embedding215 Pulls 4 Tags Updated 9 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.
15 Pulls 3 Tags Updated 1 week ago
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gemma3-strip
Optimized for PowerToys AI Paste. Functions exactly like .strip() to remove leading/trailing whitespace and newlines without altering internal structure or executing code. Fast, private, and hallucination-free.
11 Pulls 1 Tag Updated 1 week ago