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…
yamura4 · Kit
Checks Dutch, Flemish and English teen chat messages and returns block or allow, catching harmful terms plus shared addresses, IPs and links. For builders of c…
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…
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…
protectai · Kit
Flags English text that tries to hijack a language model, labeling each input as benign or prompt injection. For developers who screen user input in LLM apps.
pipecat-ai · Kit
Gives Pipecat voice agents two small CPU models, one that reads a caller's emotion and sarcasm and one that tags the agent's reply for expressive speech. It su…
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…
Hooshaai · Kit
Classifies English text, such as SST-2 sentiment, with a RoBERTa Base model whose attention is made sparse by AdaSplash, trading some accuracy for lower latenc…
Hooshaai · Kit
Classifies English text with a RoBERTa Base model shrunk to about 82M parameters by Fisher-weighted SVD at rank 32, trading some accuracy for lower latency and…
Hooshaai · Kit
A RoBERTa Base sentiment classifier whose attention is swapped for a sparse AdaSplash version, which zeroes out 40% of attention weights to cut time and memory…
Hooshaai · Kit
A DistilBERT text classifier fine-tuned on GLUE SST-2 that swaps in a compressed random-projection attention to halve the scoring work. An experiment for resea…
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…
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…
ProCreations · Kit
Decides whether a coding agent's proposed tool call should run, answering approve or deny from the call, the request and the history. The smallest Auto model,…
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…
mesmertech · Kit
Tells whether English text is human-written, AI-written or AI-edited and labels each sentence. For editors, teachers and researchers who want a signal, not pro…
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.
bespokelabs · Kit
Scores yes or no questions, multiple-choice picks and rubric levels against a piece of text, using a LoRA adapter on Qwen3.5-9B. For developers who need a clas…
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.…
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…
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…
KoljaB · Kit
Decides when a voice assistant should drop in a small listening sound such as mhm or oh no while the user is still talking, from the words so far. Text only, a…
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…
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…
BAAI · Kit
Scores how well a passage answers a query so you can reorder search results, across many languages. Takes a question and a document and returns one relevance s…
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…
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…
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…
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…
rayline-ai · Kit
Reads an agent's conversation and predicts which model will succeed, how many tokens it will use and how much reasoning to spend, so apps can route requests by…