GLM-5.2 is live. #1 throughput on OpenRouter, pay-per-token on FriendliAI. Try it today ➜
InternRobotics
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Run this model inference with full control and performance in your environment.
Model Details
Model Provider
InternRobotics
Model Tree
Qwen/Qwen3-VL-30B-A3B-Instruct
Input Modalities
Output Modalities
Supported Functionality
Qwen/Qwen3-VL-30B-A3B-InstructQwen3VLMoeForConditionalGenerationqwen3_moe_vlchunk_all prompt and samples the input video at 2 Hzpython
from transformers import AutoModelForImageTextToText, AutoProcessormodel_id = "InternRobotics/VLAC2-Qwen3VL-30B-A3B-Progress"processor = AutoProcessor.from_pretrained(model_id)model = AutoModelForImageTextToText.from_pretrained(model_id,torch_dtype="auto",device_map="auto",)
Run one of the bundled examples from the model release root:
bash
python quick_start/run_example.py --example-id example_01python quick_start/run_example.py --example-id example_02python quick_start/run_example.py --example-id example_03
For local VLAC benchmark scripts, use:
bash
MODEL_PATH=/path/to/VLAC2-Qwen3VL-30B-A3B-ProgressMODEL_TYPE=qwen3_moe_vl
More details are provided in quick_start/README.md.