Multimodal

Qwen3.5 4B

Alibaba's efficient Qwen3.5 4B vision-language model tuned for practical multimodal deployment

Parameters 4B
Inputs
Text Image Video
Outputs
Text
Context Length 256K
License Apache 2.0
Precision
NVFP4 W4A16

Serve the model

Pick your Jetson, then copy the command and paste it into a terminal on the Jetson. New to Jetson? Setup guide

Run on your Jetson
Engine
Speculative decoding
Weights
First, one-time setup

Model Details

Qwen3.5 4B offers a balanced point in the Qwen3.5 family for local multimodal instruction following, visual understanding, and agent-style workloads on Jetson.

Inputs and Outputs

Input: Text and images

Output: Text

Intended Use Cases

  • Visual question answering: Multimodal prompting with image inputs
  • Image understanding: Captioning, scene analysis, and grounded responses
  • Tool calling: Structured tool use with vLLM
  • Multilingual tasks: Translation and multilingual prompting

Additional Resources

Performance on Jetson

2K input · 128 output tokens
Concurrent requests
vLLMllama.cpp
  • 56.1 vLLM on AGX Thor: 56.1 tok/s
    AGX Thor128 GB
  • 27.9 vLLM on AGX Orin: 27.9 tok/s
    AGX Orin64 GB
  • 10.2 llama.cpp on Orin Nano: 10.2 tok/s
    Orin Nano8 GB

Output tokens/s