Jev-Omni
akhilaaa3 · Kit
Answers a question about text, an image, audio or video by giving a probability for each option you list, instead of writing an explanation. A 12B classifier b…
akhilaaa3 · Kit
Answers a question about text, an image, audio or video by giving a probability for each option you list, instead of writing an explanation. A 12B classifier b…
jaredpalmer · Kit
Reads a document and typed questions, then returns a calibrated probability for each answer option in one pass, without writing text. A Qwen3.5-4B based decisi…
fastino · Kit
Classifies English text against any label set you pass in, such as intent, routing, sentiment or urgency, in one pass with no prompt template. A small speciali…
baselabs · Kit
Returns calibrated probabilities for yes-or-no, multiple-choice and scored questions about a text or an image, from one 2B model. For teams that route, triage…
vllm-sr · Kit
A 9B model that answers several choice, yes or no and score questions about text, images or video in one call, returning a probability for every answer instead…
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 instead of text. A 27B decision…
StrandsAgents · Kit
Makes fast decisions for agent workflows by picking among options and rating things on a scale, with a calibrated confidence for every answer. For developers w…
vllm-sr · Kit
Answers many questions about one text, image or video input at once, with a probability for each answer and no generated text. A 27B multimodal decision model…
vllm-sr · Kit
Answers choice, yes or no, and score questions about text, images and video in one call, returning a probability for each answer instead of generated text. For…
JoyIndustrial · Kit
Answers structured questions about text and images with choices and probabilities, as a decision system from JD Industrials built on Qwen3.8-27B with built-in…
openjev · Kit
Answers typed decisions about text, web pages and screenshots, picking a choice, a yes-or-no probability or a score from your own labels in one forward pass. F…
hindsight-ai · Kit
Answers typed questions about a text state with a probability for every option in one pass, with no generated text, in eight languages. A 0.8B decision model f…
feder-cr · Kit
A local decision model that answers yes-or-no, multiple-choice and score questions about a text on a laptop CPU in about 28 to 130 ms, returning a probability…
perplexity-ai · Kit
Reads a situation and several questions in one pass, then answers each with a choice, a yes or no, or a score. Built for teams that route, flag or rate incomin…
decisionmodels · Kit
Returns probabilities for the options of a decision request by running two models side by side on one GPU and averaging them. For teams that want an open decis…
baselabs · Kit
Answers a set of questions about a situation in one pass and returns a calibrated probability for each option. A 9B decision model from Base Labs at Baseten, t…
perplexity-ai · Kit
A small Perplexity decision model built on Qwen3.5-4B that reads text and images and answers choice, yes-or-no and score questions with probabilities, for fast…
Cloudflare · Kit
Turns a state and a set of typed questions into decisions, returning a probability for every option of every question in one pass, with no free text. A 9B mult…
Cloudflare · Kit
Cloudflare's 27B multimodal model that scores the allowed answers to typed questions about a text, JSON, image or video input, instead of writing free text.
sarvamai · Kit
Scores every answer option for questions about a text, with a probability for each, in one forward pass. For teams that need fixed-choice decisions, such as ti…