d3-turbo
vllm-sr · Kit
Answers choice, yes-or-no, score, box and tracking questions about text, images or video in one call, with a probability for each answer. For people building r…
vllm-sr · Kit
Answers choice, yes-or-no, score, box and tracking questions about text, images or video in one call, with a probability for each answer. For people building r…
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…
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…
mlx-community · Kit
A 4-bit MLX copy of Cloudflare's clef-flash that turns a state and typed questions into a probability for every allowed answer on Apple Silicon Macs. Not a cha…
microsoft · Kit
Turns text in many languages into embedding vectors for search, clustering, similarity, classification and reranking. Made for developers who run semantic sear…
ibm-granite · Kit
Handles summaries, classification, extraction, question answering, RAG, code tasks and tool calling in 12 languages with a 340M-parameter instruct model from I…
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…
google-t5 · Kit
A 220 million parameter text-to-text model that handles translation between English, French, Romanian and German, and also summarization, question answering an…
google-bert · Kit
Fills in masked words and extracts text features in 104 languages. A case-sensitive BERT base model meant to be fine-tuned for classification, tagging and ques…
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…
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…
answerdotai · Kit
Predicts a hidden word in English text or code, and after fine-tuning serves as a larger long-context encoder for search, classification and retrieval. Made fo…
answerdotai · Kit
Predicts a hidden word in English text or code, and after fine-tuning serves as a long-context encoder for search, classification and retrieval. Made for devel…