AI projects from Hugging Face

Copernicus (31B)

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…

gpt-oss-safeguard-120b

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.

OneJev1.6-0.8B

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…

JEV-CPU

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…

Seb-9B-v2

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…

Laya-GGUF

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…

Kev-4B by ggml-org

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.

CLM-v0.1-8B

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…

Nimble-v4-max

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…

MNN-Pocket-0.3B-Dec

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…

Mica-v0.5-4B

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…

EmbeddingGemma 2 Typed Decisions

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…

basal-omni-1.0-ultra

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…

Jev-Omni

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…

Augmenting CNNs with attention-based aggregation

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…

Kev-4B

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…

GLiNER2.5-Decide

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…

d3-flash

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…

d3

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…

strands-decider-2B-qwen3.5-v1-2610

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…