# Cross-Language Retrieval
Nomic Embed Text V2 GGUF
Apache-2.0
Nomic Embed Text V2 GGUF is a multilingual text embedding model supporting over 70 languages, suitable for sentence similarity calculation and feature extraction tasks.
Text Embedding Supports Multiple Languages
N
ggml-org
317
3
Bge Multilingual Gemma2 GPTQ
Apache-2.0
This is the 4-bit GPTQ quantized version of the BAAI/bge-multilingual-gemma2 model, supporting multilingual text embedding tasks.
Text Embedding
Transformers

B
shuyuej
34
5
Multilingual E5 Large Instruct GGUF
MIT
Multilingual E5 large instruction model supporting text embedding and classification tasks in multiple languages
Large Language Model Supports Multiple Languages
M
Impulse2000
58
1
Multilingual E5 Large Instruct Q3 K S GGUF
MIT
Multilingual E5 large instruction model, supporting multiple languages and tasks including classification, retrieval, clustering, etc.
Large Language Model Supports Multiple Languages
M
yoeven
14
1
Multilingual E5 Large Instruct Q5 0 GGUF
MIT
Multilingual E5 large instruction model supporting text embedding and classification tasks in multiple languages
Large Language Model Supports Multiple Languages
M
yoeven
14
2
Gme Qwen2 VL 7B Instruct
Apache-2.0
Qwen2-VL-7B-Instruct is a multimodal vision-language model based on the Qwen2 architecture, supporting both Chinese and English, suitable for various natural language processing tasks.
Text-to-Image
Transformers Supports Multiple Languages

G
Alibaba-NLP
3,844
34
Jina Embeddings V3
Jina Embeddings V3 is a multilingual sentence embedding model supporting over 100 languages, specializing in sentence similarity calculation and feature extraction tasks.
Text Embedding
Transformers Supports Multiple Languages

J
arkohut
506
4
Multilingual E5 Large Pooled
MIT
Multilingual E5 Large is a multilingual sentence transformer model focused on sentence similarity and feature extraction tasks, supporting multiple languages.
Text Embedding Supports Multiple Languages
M
Hiveurban
3,803
2
Multilingual E5 Large Instruct GGUF
MIT
The multilingual e5 series is one of the best choices for multilingual embedding models, supporting multiple languages and tasks.
Text Embedding
M
Ralriki
13.17k
5
Gte Multilingual Reranker Base
Apache-2.0
The first multilingual reranking model in the GTE series, supporting 70+ languages with high performance and long text processing capabilities.
Text Embedding
Transformers Supports Multiple Languages

G
Alibaba-NLP
239.91k
122
Ko Reranker
MIT
A Reranker model fine-tuned on Korean data based on BAAI/bge-reranker-large, designed to enhance Korean Retrieval-Augmented Generation (RAG) performance
Text Embedding
Transformers Supports Multiple Languages

K
Dongjin-kr
34.08k
59
Sentence Swissbert
Sentence embedding model trained on Swiss multilingual news data, supporting Switzerland's four official languages
Text Embedding
Transformers Supports Multiple Languages

S
jgrosjean-mathesis
169
2
Eubert Cross Encoder V1
The EUBERT MLM model is fine-tuned as a cross-encoder using sentence transformer training sets, supporting 24 EU languages
Text Embedding
Transformers

E
scampion
37
0
Xlmr Ted
MIT
This is a sentence embedding model based on sentence-transformers, capable of converting Italian and English sentences into 768-dimensional vector representations, suitable for tasks such as sentence similarity calculation and semantic search.
Text Embedding
Transformers Supports Multiple Languages

X
nickprock
16
0
Multilingual E5 Small Optimized
MIT
This is the quantized version of multilingual-e5-small, optimized for inference performance through layer-wise quantization while retaining most of the original model's quality.
Text Embedding Supports Multiple Languages
M
elastic
201
15
E5 Base Multilingual 4096
E5-base-multilingual-4096 is a locally sparse global version based on intfloat/multilingual-e5-base, supporting multilingual text embedding models that can process up to 4096 tokens.
Text Embedding
Transformers Supports Multiple Languages

E
efederici
340
16
Mstsb Paraphrase Multilingual Mpnet Base V2
Fine-tuned version of the paraphrase-multilingual-mpnet-base-v2 model based on sentence-transformers, optimized for semantic text similarity tasks in 15 languages
Text Embedding
Transformers Other

M
AIDA-UPM
404
12
Featured Recommended AI Models