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bge-m3
quantize https://huggingface.co/BAAI/bge-m3 to f16 / q8_0 (latest) / q4_k_m
embedding650.9K 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
embedding275.5K 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
embedding22.4K 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
embedding14.1K 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
embedding10.5K 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
embedding5,976 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
embedding3,369 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
embedding2,454 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
embedding2,348 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
embedding2,231 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
embedding1,433 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
embedding1,312 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
embedding941 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
embedding242 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.
57 Pulls 1 Tag Updated 7 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.
24 Pulls 3 Tags Updated 7 months ago