THX-01
doofz · Kit
Answers typed questions about a ticket, email or document in one fast pass, with calibrated probabilities, extracted numbers, excerpts and citations. A 322M mu…
doofz · Kit
Answers typed questions about a ticket, email or document in one fast pass, with calibrated probabilities, extracted numbers, excerpts and citations. A 322M mu…
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…
SupersonicLabs · Kit
Takes a text, a question and a list of possible answers, and picks the best one for classification, routing, ordered scores and yes-or-no calls. A 144M model f…
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…
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…
OmniJev · Kit
Reads a screenshot, photo, video or text with a few typed questions and returns a probability for each answer option in one pass. Built for developers of scree…
OmniJev · Kit
Reads a screenshot, photo, video or text plus your typed questions and returns a probability for each answer option, such as what an agent should do next or wh…
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…
MaziyarPanahi · Kit
Small decider that returns a calibrated probability for what an agent should do next and which tool it should call. For developers building agents and support…
MaziyarPanahi · Kit
Small judge model that returns a calibrated probability on whether a reply is backed by its source, whether text is unsafe, and which task or domain it belongs…
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.
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…
Srimon12 · Kit
A 154M-parameter zero-shot text classifier that scores every label you pass in one pass, for single-label, multi-label and intent tasks, including long inputs.…
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…
jmc0 · Kit
Drives game characters that hold a conversation, take in-game actions such as selling an item or calling guards, and stay in character under pressure. For game…
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…
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…