Modelle durchsuchen

Answers a written prompt using information from a picture.

A model for working with images and text together.

Generates text by continuing a written prompt.

Generates text by continuing a written prompt.

A 4B model dedicated to step-by-step reasoning, with native 256K-token context.

Scores how closely a passage matches a search question.

Scores how closely a passage matches a search question.

Turns text into number lists for search and meaning comparisons.

A 3.8B instruction model for reasoning and function calling, with 128K-token context.

A 3.8B instruction model for code and reasoning, with a 128K-token context window.

A 3.8B English instruction model that activates 1.1B parameters per token.

Compares a picture with written labels you supply.

Turns text into number lists for search and meaning comparisons.

A model for working with images and text together.

A 3B coding model for writing and fixing source code.

A 3B multilingual chat model for writing and structured JSON output.

A 3B chat model with optional reasoning and support for six languages.

An AWQ edition of a 7B model for writing and fixing code.

A 9B reasoning model in GGUF, with tool-calling and coding examples on its model card.

A 4-bit edition of a 7B multilingual chat model for writing and structured JSON output.

A 7.8B English and Korean chat model in AWQ, with a 32K-token context window.

An FP8 edition of Qwen3’s 4B direct-answer model, with native 256K-token context.

Finds objects in a picture and marks their locations.

Turns recorded speech into written text.