Instructions to use JetBrains/Qwen3.8-3.6-27B-blend with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use JetBrains/Qwen3.8-3.6-27B-blend with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="JetBrains/Qwen3.8-3.6-27B-blend")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("JetBrains/Qwen3.8-3.6-27B-blend")
model = AutoModelForMultimodalLM.from_pretrained("JetBrains/Qwen3.8-3.6-27B-blend", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use JetBrains/Qwen3.8-3.6-27B-blend with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "JetBrains/Qwen3.8-3.6-27B-blend"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "JetBrains/Qwen3.8-3.6-27B-blend",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/JetBrains/Qwen3.8-3.6-27B-blend

SGLang

How to use JetBrains/Qwen3.8-3.6-27B-blend with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "JetBrains/Qwen3.8-3.6-27B-blend" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "JetBrains/Qwen3.8-3.6-27B-blend",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "JetBrains/Qwen3.8-3.6-27B-blend" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "JetBrains/Qwen3.8-3.6-27B-blend",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use JetBrains/Qwen3.8-3.6-27B-blend with Docker Model Runner:
```
docker model run hf.co/JetBrains/Qwen3.8-3.6-27B-blend
```

vvsotnikov commited on 27 days ago

Commit

286e374

verified ·

1 Parent(s): 20bfda9

Correct JetBrains copyright holder and add copyright symbol

Browse files

Files changed (3) hide show

CHANGES.md +1 -1
NOTICE +1 -1
README.md +1 -1

CHANGES.md CHANGED Viewed

@@ -46,4 +46,4 @@ Model cards and repository references were adapted for the JetBrains distributio
 The original Qwen LICENSE and Alibaba Cloud copyright notice are retained unchanged. Neither pinned upstream source contains a NOTICE file; this distribution's NOTICE was added by JetBrains.
-Copyright 2026 JetBrains N.V. applies only to original material contributed by JetBrains. Upstream Qwen material remains subject to its original copyright and attribution notices. See [LICENSE](LICENSE) and [NOTICE](NOTICE).


46
47	The original Qwen LICENSE and Alibaba Cloud copyright notice are retained unchanged. Neither pinned upstream source contains a NOTICE file; this distribution's NOTICE was added by JetBrains.
48
49	+ Copyright © 2026 JetBrains s.r.o. applies only to original material contributed by JetBrains. Upstream Qwen material remains subject to its original copyright and attribution notices. See [LICENSE](LICENSE) and [NOTICE](NOTICE).

NOTICE CHANGED Viewed

@@ -6,7 +6,7 @@ Qwen3.8-27B, developed by Alibaba Cloud.
 Copyright 2026 Alibaba Cloud
 Original material contributed by JetBrains:
-Copyright 2026 JetBrains N.V.
 The JetBrains copyright notice applies only to original material
 contributed by JetBrains. It does not apply to upstream Qwen

 Copyright 2026 Alibaba Cloud
 Original material contributed by JetBrains:
+Copyright © 2026 JetBrains s.r.o.
 The JetBrains copyright notice applies only to original material
 contributed by JetBrains. It does not apply to upstream Qwen

README.md CHANGED Viewed

@@ -31,6 +31,6 @@ The interpolation uses float32 accumulation.
 Distributed under the Apache License, Version 2.0. The original Qwen [LICENSE](LICENSE), including `Copyright 2026 Alibaba Cloud`, is retained unchanged.
-Copyright 2026 JetBrains N.V. This notice applies only to original material contributed by JetBrains. Upstream Qwen material remains subject to its original copyright and attribution notices.
 See [NOTICE](NOTICE) for attribution and [CHANGES.md](CHANGES.md) for a description of the modifications and the affected files.

 Distributed under the Apache License, Version 2.0. The original Qwen [LICENSE](LICENSE), including `Copyright 2026 Alibaba Cloud`, is retained unchanged.
+Copyright © 2026 JetBrains s.r.o. This notice applies only to original material contributed by JetBrains. Upstream Qwen material remains subject to its original copyright and attribution notices.
 See [NOTICE](NOTICE) for attribution and [CHANGES.md](CHANGES.md) for a description of the modifications and the affected files.