[OpenVINO] Support Qwen3.5, Qwen3.5-MoE and Qwen3.6

[rkazants]

What does this PR do?

Re-created PR #1634

Fixes 181271, 181280, 182003

Installation instructions:

pip install git+https://github.com/rkazants/optimum-intel.git@support_qwen3_5
pip install --pre -U openvino openvino-tokenizers nncf --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly
pip install transformers==5.2.0
pip install requests torchvision opencv-python

Exporting cmd-line:

optimum-cli export openvino -m Qwen/Qwen3.5-0.8B Qwen3.5-0.8B

Inference script:

from transformers import AutoProcessor
from transformers.video_utils import load_video
from huggingface_hub import hf_hub_download
from optimum.intel.openvino import OVModelForVisualCausalLM

model_dir = "Qwen/Qwen3.5-0.8B"

processor = AutoProcessor.from_pretrained(model_dir)
model = OVModelForVisualCausalLM.from_pretrained(model_dir)

# Prepare video input
video_path = hf_hub_download(
                repo_id="raushan-testing-hf/videos-test",
                filename="sample_demo_1.mp4",
                repo_type="dataset",
            )
input_video, _ = load_video(video_path, num_frames=10, backend="opencv")

messages = [
    {"role": "user", "content": [
        {"type": "video"},
        {"type": "text", "text": "Why is this video funny?"},
    ]}
]
text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = processor(text=[text], videos=[input_video], return_tensors="pt")

# Run inference
output_ids = model.generate(**inputs, max_new_tokens=100)
output_text = processor.decode(output_ids[0], skip_special_tokens=True)

print(output_text)

Before submitting

• [N/A] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Did you make sure to update the documentation with your changes?
• [] Did you write any new necessary tests?

[HuggingFaceDocBuilderDev]

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[savvadesogle]

Qwen3.6
Hooray!🎉