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bge-m3
quantize https://huggingface.co/BAAI/bge-m3 to f16 / q8_0 (latest) / q4_k_m
embedding640.7K Pulls 4 Tags Updated 1 year 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
embedding224.7K Pulls 4 Tags Updated 1 year 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
embedding21.9K Pulls 4 Tags Updated 1 year 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
embedding14K Pulls 4 Tags Updated 1 year ago
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bge-reranker-large
quantize https://huggingface.co/BAAI/bge-reranker-large to f16 / q8_0 (latest) / q4_k_m
embedding10K Pulls 4 Tags Updated 1 year 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
embedding4,955 Pulls 4 Tags Updated 1 year 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
embedding3,269 Pulls 4 Tags Updated 1 year 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
embedding2,321 Pulls 4 Tags Updated 1 year ago
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multilingual-e5-base
quantize https://huggingface.co/intfloat/multilingual-e5-base to f16 / q8_0 (latest) / q4_k_m
embedding1,973 Pulls 4 Tags Updated 1 year 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
embedding1,907 Pulls 4 Tags Updated 1 year ago
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multilingual-e5-large
quantize https://huggingface.co/intfloat/multilingual-e5-large to f16 / q8_0 (latest) / q4_k_m
embedding1,194 Pulls 4 Tags Updated 1 year ago
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multilingual-e5-small
quantize https://huggingface.co/intfloat/multilingual-e5-small to f16 / q8_0 (latest) / q4_k_m
embedding1,162 Pulls 4 Tags Updated 1 year 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
embedding932 Pulls 4 Tags Updated 1 year ago
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acge_text_embedding
quantize https://huggingface.co/aspire/acge_text_embedding to f16 / q8_0 (latest) / q4_k_m
embedding235 Pulls 4 Tags Updated 1 year 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.
56 Pulls 1 Tag Updated 5 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.
21 Pulls 3 Tags Updated 5 months ago