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AI Models Marketplace

Explore the latest and most popular AI models — LLM, vision, audio and more — to pick and integrate the right one.

Qwen3 Embedding 0.6B

apache-2.0
Qwen3 Embedding 0.6B is a compact, high-efficiency feature extraction model designed for developers building RAG pipelin...
Qwen feature-extraction
3.5M 133

bge small zh v1.5

mit
The bge-small-zh-v1.5 is a lightweight embedding model optimized for Chinese language tasks. Designed for efficiency, it...
BAAI feature-extraction
2.8M 47

bge small en v1.5

mit
The bge-small-en-v1.5 is a lightweight embedding model optimized for efficiency and retrieval performance. Designed for ...
michaelfeil feature-extraction
2.3M 0

SapBERT from PubMedBERT fulltext

apache-2.0
SapBERT is a specialized encoder model designed for biomedical entity normalization. Unlike general-purpose BERT models,...
cambridgeltl feature-extraction
1.6M 0

Qwen3 Embedding 8B

apache-2.0
Qwen3 Embedding 8B is a high-capacity feature extraction model designed for developers building sophisticated RAG pipeli...
Qwen feature-extraction
1.5M 278

Qwen3 Embedding 4B

apache-2.0
Qwen3 Embedding 4B is a high-capacity feature extraction model designed to convert unstructured text into dense vector r...
Qwen feature-extraction
991.4K 65

bge reranker large

mit
The bge-reranker-large is a cross-encoder model designed to refine the results of initial vector searches in RAG pipelin...
BAAI feature-extraction
371.6K 68

w2v bert 2.0

mit
w2v bert 2.0 is a specialized feature-extraction model designed to bridge the gap between static word embeddings and con...
facebook feature-extraction
167.3K 0

bge large en v1.5

mit
The bge-large-en-v1.5 is a high-performance embedding model designed for transforming text into dense vectors for retrie...
BAAI feature-extraction
19.0K 7

bge small en v1.5

mit
The bge-small-en-v1.5 is a lightweight embedding model designed for high-efficiency vectorization of English text. Unlik...
BAAI feature-extraction
18.7K 5

bge base en v1.5

mit
The bge-base-en-v1.5 is a high-performance embedding model designed for transforming text into dense vectors for semanti...
BAAI feature-extraction
13.3K 5

multilingual e5 large

mit
Multilingual E5 Large is a high-performance text embedding model designed for cross-lingual semantic search and retrieva...
intfloat feature-extraction
4.8K 1

multilingual e5 large instruct

mit
The multilingual-e5-large-instruct is a high-performance text embedding model designed for cross-lingual semantic search...
intfloat feature-extraction
3.1K 7

all MiniLM L6 v2

apache-2.0
all-MiniLM-L6-v2 is a lightweight, efficient sentence-transformer model designed for mapping text to a 384-dimensional d...
Xenova feature-extraction
2.8K 0

mxbai embed large v1

apache-2.0
mxbai-embed-large-v1 is a high-performance embedding model designed for developers building RAG pipelines and semantic s...
mixedbread-ai feature-extraction
2.1K 0

bge base en v1.5

mit
BGE-base-en-v1.5 is a high-performance embedding model designed for dense vector retrieval and semantic search. Unlike g...
Xenova feature-extraction
1.4K 0

granite embedding small english r2

apache-2.0
The granite-embedding-small-english-r2 is a lightweight, English-centric feature extraction model designed for high-effi...
ibm-granite feature-extraction
138 0
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