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Qwen3-4B-Instruct-2507

State‑of‑the‑art large language model with instruct‑only training, useful on a variety of language understanding and generation tasks.

The Qwen3‑4B‑Instruct‑2507 is a state‑of‑the‑art multilingual instruct language model with 4 billion parameters, excelling in language understanding, generation, coding, and mathematics. Unlike the base Qwen3‑4B, this variant has only instruct training without thinking mode support.

Not supported

This model is currently not supported on any Compute chipset.

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Quick Start

1

Install Windows CLI App

2

Run the Model

Paste into CLI and run the following code.

For application and server integration, see Docs.

Technical Details

Supported languages:100+ languages and dialects.
TTFT:Time To First Token is the time it takes to generate the first response token. This is expressed as a range because it varies based on the length of the prompt. The lower bound is for a short prompt (up to 128 tokens, i.e., one iteration of the prompt processor) and the upper bound is for a prompt using the full context length (4096 tokens).
Response Rate:Rate of response generation after the first response token. Measured on a short prompt with a long response; may slow down when using longer context lengths.

Applicable Scenarios

  • Dialogue
  • Content Generation
  • Customer Support

License

Tags

  • llm
  • generative-ai

Supported Compute Devices

  • Snapdragon X Elite CRD
  • Snapdragon X2 Elite CRD

Supported Compute Chipsets

  • Snapdragon® X Elite
  • Snapdragon® X2 Elite

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