Qwen3.5-4B
Answers a written prompt using information from a picture.
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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.
A 4B chat model with optional reasoning and support for 100+ languages.
A 4B chat model for direct answers, with a native 256K-token context window.
Generates text by continuing a written prompt.
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 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 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.
An AWQ edition of a 7B multilingual chat model for writing and structured JSON output.
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.
Compares a picture with written labels you supply.
Compares a picture with written labels you supply.
A model for working with images and text together.
A 1.7B chat model with optional reasoning and a native 32K-token context window.
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