AI projects from Hugging Face

Yalda Embedding

Yaldat · Kit

Turns Persian text into 1,024-number embeddings for semantic search and retrieval. Built for developers who need to match Persian questions to the right passag…

bge-small-en-v1.5-GGUF

unsloth · Kit

Turns English text into embeddings for search and retrieval, in a small GGUF file of 33.2M parameters. For developers who build search or retrieval apps on mod…

harrier-oss-v1-27b

microsoft · Kit

Turns text in many languages into embedding vectors for search, clustering, similarity, classification and reranking. Made for developers who run semantic sear…

mSlideOn

lightonai · Kit

Turns queries and documents into sparse vectors you can search with an inverted index, across several languages and long text. A 339M multilingual retrieval mo…

hs-rerank-1

hindsight-ai · Kit

Scores how well each document answers a query, in eight languages and for inputs up to 8,192 tokens, so a search or memory system can put the best matches firs…

UIBK-Embedding-v1

DataScience-UIBK · Kit

Finds the passages that best match a query, using one model that combines token level and whole text matching. An English retrieval model from the University o…

bge-small-en-v1.5

BAAI · Kit

A small English text embedding model from BAAI that turns sentences into vectors for search and retrieval. About 33M parameters, and part of the FlagEmbedding…

bge-base-en-v1.5

BAAI · Kit

Turns English text into number vectors for search and retrieval. A 109M-parameter embedding model from BAAI, for developers who build semantic search or retrie…

pplx-embed-v2-late-0.6b

perplexity-ai · Kit

Scores queries against text, images and document pages with a ColBERT-style model that keeps one small vector per token. For developers who build search over m…

SPARSEUP

Linkup-Platform · Kit

A 188M-parameter English sparse retrieval model from Linkup that turns queries and documents into weighted word lists for search. It scores 56.4 on BEIR, the b…

multilingual-e5-large

intfloat · Kit

Turns text in about 100 languages into 1024-number vectors for search, matching and retrieval. A 560M-parameter embedding model from intfloat, built on xlm-rob…

hs-embed-1

hindsight-ai · Kit

Turns text into compact vectors for search and matching in eight languages, with inputs up to 8,192 tokens. A small 112M embedding model built for Hindsight, r…

bekko-static-v1-slim-100k

flowercomputers · Kit

Turns text into 1024-dimension vectors with a static embedding model, trimmed to 25 languages. Fast sentence similarity and retrieval, without a transformer, i…

paraphrase-multilingual-MiniLM-L12-v2

sentence-transformers · Kit

Turns sentences and paragraphs into 384-number vectors for semantic search, clustering and sentence similarity, with a multilingual model from the sentence-tra…

voyage-4-nano

MongoDB · Kit

Multilingual text embedding model of 346M parameters from the Voyage 4 series, for semantic search and retrieval, with flexible vector sizes. For developers bu…

SlideOn

lightonai · Kit

An English sparse retrieval model from LightOn that turns queries and documents into sparse vectors for inverted-index search. It suits search engineers and de…

nomic-embed-text-v1.5

nomic-ai · Kit

Turns English text into embedding vectors for search, clustering and classification, and the vectors can be cut to a smaller size. It suits developers building…

Qwen3-Embedding-4B

Qwen · Kit

Turns text and code in over 100 languages into vectors for search, retrieval, classification and clustering, with adjustable vector size and task instructions,…

harrier-oss-v1-0.6b

microsoft · Kit

Turns text in many languages into number vectors for search, clustering and similarity matching, a 0.6B embedding model from Microsoft for developers building…

AsteroRank-Lepton

Asteromorph · Kit

Scores how relevant each document is to a search query, with optional context, to reorder search results. A 4B open-weights reranker for science and general se…

Qwen3-Reranker-0.6B

Qwen · Kit

Scores how well each passage answers a query, to put the best passages first in search and retrieval systems. A 0.6B text reranking model covering over 100 lan…

bge-reranker-v2-m3

BAAI · Kit

Scores how well a passage answers a query so you can reorder search results, across many languages. Takes a question and a document and returns one relevance s…

Qwen3-Embedding-8B

Qwen · Kit

Turns text into vectors for search, code retrieval, classification and clustering, in over 100 languages. The 8B model in Qwen's embedding family, with adjusta…

KURE-Sparse-nano

nlpai-lab · Kit

A compact Korean and English sparse retrieval model that turns queries and documents into sparse vectors for search over an inverted index, for teams building…

Qwen3-Embedding-0.6B

Qwen · Kit

Turns text into number vectors for search, retrieval, classification and clustering, in over 100 languages including code. The smallest, 0.6B-parameter text em…

bge-m3

BAAI · Kit

Turns text in more than 100 languages into vectors for search, from short sentences to documents of 8192 tokens. It supports dense, multi-vector and sparse ret…

all-MiniLM-L6-v2

sentence-transformers · Kit

Turns sentences and short paragraphs into 384-dimensional vectors for semantic search, clustering and sentence similarity. For developers building English sear…

embeddinggemma-2

google · Kit

Google DeepMind's open embedding model that places text, code, images, video and audio in one 768 number vector space, built to run on laptops and phones. Suit…

MTEB-BR Leaderboard

MTEB-BR · Kit

Ranks text embedding models on native Brazilian Portuguese tasks, with 93 models scored on 22 tasks. A static leaderboard page for researchers and engineers ch…