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…
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…
trevest · Kit
Adds Cloudflare Clef's decision head to a Qwen3.8-27B chat model, so one llama.cpp server on a 24 GB GPU both answers typed questions and chats. It is a LoRA a…
torchcast-ai · Kit
A 4B decision model built on Qwen3.5-4B that returns yes/no probabilities, choice distributions and score distributions in one pass without generating text. Fo…
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…
sky7350 · Kit
Gives a probability for each allowed answer to a question about a given state, as yes/no, a choice or a score, without writing text. For developers who add qui…
perplexity-ai · Kit
Picks the best option for a decision from text and images, such as which team should handle a request, with a probability for each choice, for developers who b…
perplexity-ai · Kit
Sorts a request into the choices you set, from text and images, using a Q8_0 GGUF copy of a small decision model. For developers who can run a protocol v3 runt…
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…
mukaddamzaid · Kit
Answers typed questions about a case, given as text, JSON or a photo, in one pass with a probability for each allowed answer. A 27B decision model that writes…
JoyIndustrial · Kit
Answers multiple-choice style questions about images and text with option probabilities, using a Qwen3.8-27B decision system with built-in OCR. For developers…
harshatheg · Kit
Extracts structured fields, routes decisions and classifies text on Apple Silicon with MLX, scoring every schema field at once. Cuts latency 5.6x to 7.0x on an…
h2oai · Kit
Answers typed decision questions about a document, ticket, policy or conversation, and about its images, giving each option a probability. For teams that want…
ggml-org · Kit
GGUF files of Cloudflare's Clef decision model, which takes image and text input. Served with llama.cpp tools and called through a decision API path. For devel…
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…
erenextlabs · Kit
An open Turkish decision engine that answers typed questions about a message, such as routing, urgency, human handoff or prompt injection, with a probability f…
bartowski · Kit
Static GGUF quantizations of Cloudflare's clef decision model, which scores every answer option to typed questions about a state in one pass instead of writing…
ai-forever · Kit
Makes structured decisions over Russian text in one pass: pick an option, rate on a scale, answer yes or no, or rank candidates. Made for developers who classi…
abacusai · Kit
Answers a typed question about audio, an image or text with a probability for each option, in one pass and with no generated text. A 4B decision model fine-tun…
Poindexter-Labs · Kit
Returns structured decisions from plain-language context: pick one option, judge a yes or no claim, or score an item against a rubric. For developers building…
openai · Kit
Sorts text against a safety policy that you write, and shows its reasoning for each decision. It suits trust and safety teams that filter or label content.
OmniJev · Kit
Answers typed questions about a screenshot, photo, video or text with a probability for each option. It suits developers who need fast decisions in an agent lo…
Meanblock · Kit
Reads a decision from a small model's option probabilities on an ordinary laptop CPU, with no GPU and a browser interface. For developers who want quick routin…
ironbcc · Kit
A 9B decision model based on Qwen3.5-9B. You give it a situation, a question and options, and it returns how likely each option is, in one pass with no text ge…
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…
ggml-org · Kit
Makes decisions through the /v1/systemone API of a llama server, from a GGUF copy of a 4.2B model. For developers who want a small local decision model.
Contrastive-LM · Kit
Scores candidate answers, actions or tool names for a given state with a probability each, instead of writing text. A fast decision model on a frozen Qwen3-8B…
bespokelabs · Kit
Gives a probability for every answer option when you pass a context and typed questions such as choices, yes or no, or ordered scores. A fine-tune of Qwen3.8-2…
taobao-mnn · Kit
Reads a text state plus your questions and picks one of your options for each, with a probability per candidate, in a single pass. A decision model for develop…
sky7350 · Kit
A 4B classifier built on Qwen3.5-4B that reads an input and returns a probability for each allowed answer, for guardrails, routing, triage and agent gates. For…
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…
Remek · Kit
Answers typed questions about a message, document or agent trace with a calibrated probability for each allowed answer, in one pass without generating text. An…
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…
keras-io · Kit
Shows the attention map behind an image classifier's decision, using a CNN with attention-based aggregation trained on ImageNette, in a Gradio page. For machin…
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…
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…
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…
pavanmantha · Kit
Checks a medical claim against a piece of evidence and answers supported, unsupported or contradicted. A fine-tuned Laya model for English research on clinical…
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…
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…