Ru-Jev
besktech · Kit
Scores a Russian-first decision from a context and a list of options, giving a probability for yes/no, choice or rating questions. Runs on a plain CPU, for tea…
besktech · Kit
Scores a Russian-first decision from a context and a list of options, giving a probability for yes/no, choice or rating questions. Runs on a plain CPU, for tea…
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…
vllm-sr · Kit
Answers choice, yes-or-no, score, box and tracking questions about text, images or video in one call, with a probability for each answer. For people building r…
vllm-sr · Kit
Answers choice, yes-or-no and score questions about text, images or video in one call, with a probability for each answer. A 2B decision model for routing and…
vllm-sr · Kit
Answers choice, yes-or-no and score questions about text, images or video in one call, returning a probability for each answer. A small decision model for rout…
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…
stephenlb · Kit
Answers yes/no, multiple-choice and score questions about a text with a probability for each answer, using a Gemma 4 12B base with a small decision head. For d…
perplexity-ai · Kit
Turns text, images and document pages into vectors for search, and can embed each chunk with its surrounding document in view. For developers who build retriev…
OpenMOSS-Team · Kit
Watches a live video stream and answers questions while frames keep arriving, staying silent when nothing new shows. For developers and researchers working on…
nvidia · Kit
Transcribes English speech into lowercase text. A 1.1B FastConformer Transducer model from the NVIDIA NeMo and Suno.ai teams, for developers who add speech rec…
nomic-ai · Kit
Turns sentences into vectors on your own machine through llama.cpp, using compact GGUF files, for search and RAG questions. For developers who want local text…
nace-ai · Kit
Scores yes or no, multiple choice and rating questions about a document in one pass, with a probability for every option. An 8B decision model from Nace.AI tha…
microsoft · Kit
Turns text in many languages into embedding vectors for search, clustering, similarity, classification and reranking. Made for developers who run semantic sear…
marcoyang · Kit
Turns 16 kHz speech and general audio into 1280-number frame-level features, as a pretrained Zipformer encoder with about 600M parameters. For researchers who…
Maincode · Kit
Completes and writes Python code from a function signature or a docstring. A 1B code model from Maincode that is small enough to run on consumer hardware, for…
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…
inclusionAI · Kit
A multilingual text-to-speech model from inclusionAI that clones a voice from a short clip, designs voices from a description, and controls emotion, speed and…
inclusionAI · Kit
Listens to audio with a text instruction and answers in text, with optional spoken replies. A compact audio-language model from inclusionAI for speech recognit…
ggml-org · Kit
Runs a GGUF copy of Google's embeddinggemma-2, a 271M feature extraction model, with the llama command or the Llama app. For developers who want a small text e…
FINAL-Bench · Kit
Reads a situation and a set of typed questions, then returns a probability for every option in one forward pass, with no text generated. For builders adding ca…
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…
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…
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…
ZhuYuhan · Kit
Finds when an event happens in a video and answers multiple-choice questions about it, by scoring candidates directly. Built on Qwen3.5-4B for video researcher…
Qwen · Kit
Checks text for safety token by token while a language model is still writing, rating each part safe, controversial or unsafe in 119 languages and dialects. Su…
Qwen · Kit
Turns text into number vectors for search, retrieval and clustering in more than 100 languages, as a 0.6B model in GGUF format. Suits developers building searc…
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…
openbmb · Kit
Scores OCR readings of text, formula and table regions with a quality value between 0 and 1, in GGUF files for llama.cpp. For people who check OCR results on t…
Octopus1 · Kit
Turns motion-sensor recordings (accelerometer and gyroscope) into feature vectors with a PyTorch encoder. It suits researchers who build models on inertial sen…
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…
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…
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…
ggml-org · Kit
Small 421M-parameter decision model in GGUF form that you serve locally and call through a systemone API. For developers who use llama.cpp tooling and want a c…
galilai-group · Kit
Encodes video clips and single images into feature vectors, trained by self-supervised learning on about 5,300 video hours. A video encoder for researchers, un…
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…
facebook · Kit
Turns videos and images into embeddings for video classification, retrieval, or as the video encoder of a vision-language model. Built by FAIR at Meta for deve…
BAAI · Kit
Turns Chinese text into dense vectors for search, classification, clustering and semantic matching. A 24M-parameter BGE embedding model from BAAI under the MIT…
ACE-Step · Kit
Generates music and other audio in just 8 steps with a 4B-parameter diffusion model, run locally through a Gradio interface. For creators and developers with a…
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…
sensenova · Kit
A unified multimodal model for creating and editing images, with legible Chinese and English text, native 4K output and control through boxes and reference ima…
mrm8488 · Kit
A 272M model, fine-tuned from EmbeddingGemma 2, that reads the state of a workflow and a schema of questions and returns a typed answer with a calibrated confi…
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…
m-a-p · Kit
A music encoder that turns whole songs of 30 to 360 seconds into numeric features at frame or recording level. It suits music AI researchers and developers wor…
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…
kyutai · Kit
A neural audio codec from Kyutai that squeezes speech into compact audio tokens and decodes them back. It suits researchers and developers building speech lang…
gevaertlab · Kit
Scores the answer options of medical questions from text or images in one pass, without writing text. A research model from Stanford's Gevaert Lab, not a medic…
sensenova · Kit
An image generation and editing model that stays steadier across many successive edits, built on SenseNova-U1.5-8B-MoT with the same loading steps. For designe…
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…
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,…
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…