A beginner's guide to the Qwen3-235b-A22b-Instruct-2507 model by Qwen on Replicate

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This is a simplified guide to an AI model called Qwen3-235b-A22b-Instruct-2507 maintained by Qwen. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model overview

qwen3-235b-a22b-instruct-2507 represents the latest iteration in the Qwen3 series from the qwen team, featuring a massive 235 billion parameter Mixture-of-Experts (MoE) architecture with 22 billion parameters activated during inference. This updated version builds upon the foundation established by previous Qwen models, delivering enhanced instruction following capabilities across multiple domains including mathematics, science, coding, and tool usage. The model demonstrates substantial improvements in long-tail knowledge coverage across 100+ languages and dialects, while maintaining superior alignment with human preferences for subjective and open-ended tasks. Unlike thinking models in the series, this instruct variant operates exclusively in non-thinking mode, providing efficient responses without generating reasoning blocks.

Model inputs and outputs

The model processes conversational inputs through a structured prompt interface, accepting various parameters to control generation behavior including temperature, token limits, and penalty settings. Users can input complex queries spanning multiple languages and domains, from technical coding problems to creative writing tasks.

Inputs

Prompt: Main text input for the conversation or query
Max tokens: Controls output length (1-16,384 tokens)
Temperature: Modulates randomness in generation (0-2)
Presence penalty: Reduces repetition (-2 to 2)
Frequency penalty: Controls word frequency (-2 to 2)
Top-p: Nucleus sampling parameter (0-1)

Outputs

Text generation: Conversational responses, explanations, and structured content
Multi-language support: Responses in 100+ languages and dialects
Code generation: Programming solutions across multiple languages
Tool integration: Structured outputs for external tool usage