# Multilingual text embedding

Qwen3 Embedding 4B GGUF
Apache-2.0
Qwen3-Embedding-4B is a text embedding model built on the Qwen3 series, designed specifically for text embedding and ranking tasks, and performs excellently in multilingual text processing and code retrieval.
Text Embedding
Q
Mungert
723
1
Qwen3 Embedding 8B Auto
Apache-2.0
The Qwen3 Embedding model series is the latest self-developed model of the Tongyi family, designed specifically for text embedding and ranking tasks, supporting more than 100 languages, and ranking first on the MTEB multilingual leaderboard.
Text Embedding
Q
michaelfeil
135
1
Armenian Text Embeddings 1
Armenian text embedding model optimized based on multilingual-e5-base, supporting semantic search and cross-lingual understanding
Text Embedding Transformers Supports Multiple Languages
A
Metric-AI
578
18
Jina Embeddings V3 Separation Distilled
A distilled version based on jinaai/jina-embeddings-v3, designed for scenarios with limited computing resources or high real-time performance requirements, supporting multilingual text embedding computation.
Text Embedding Safetensors
J
CISCai
3,294
2
Sentence Transformers Multilingual E5 Small
MIT
multilingual - e5 - small is a model that performs excellently in multilingual text processing tasks, supporting various tasks such as classification, retrieval, clustering, re - ranking, and semantic text similarity.
Text Embedding Supports Multiple Languages
S
beademiguelperez
3,922
1
Distiluse Base Multilingual Cased V2 Finetuned Stsb Multi Mt Es
This is a sentence-transformers model fine-tuned on Spanish semantic similarity datasets, capable of mapping text to a 768-dimensional vector space, suitable for semantic search and clustering tasks.
Text Embedding Transformers Spanish
D
mrm8488
292
3
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