Amos 1 large
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…
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…
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…
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…
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…
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.
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…
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…
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…
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…
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…
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…
inclusionAI · Kit
Makes typed decisions from a text state and named questions, returning probabilities for choices, yes or no answers and ordinal scores, with no generated text.…
junma · Kit
Reads an abdominal CT volume and returns the probability of each of 146 findings across 18 structures, using the RADAR model. A research and teaching demo, not…
jmc0 · Kit
Lets you talk to three game characters in a small town, played by a 4B model that downloads once and runs in your browser, with the model's decisions shown und…
HAL-X-AI · Kit
Gives a probability for every option of a question you ask about a described situation, using the THX-02 decision model, with an optional thinking mode. A Grad…