Instructions to use FINAL-Bench/Darwin-35B-A3B-Opus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FINAL-Bench/Darwin-35B-A3B-Opus with Transformers:

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

pipe = pipeline("image-text-to-text", model="FINAL-Bench/Darwin-35B-A3B-Opus")
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)

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("FINAL-Bench/Darwin-35B-A3B-Opus")
model = AutoModelForImageTextToText.from_pretrained("FINAL-Bench/Darwin-35B-A3B-Opus")
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=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FINAL-Bench/Darwin-35B-A3B-Opus with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FINAL-Bench/Darwin-35B-A3B-Opus"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FINAL-Bench/Darwin-35B-A3B-Opus",
		"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/FINAL-Bench/Darwin-35B-A3B-Opus

SGLang

How to use FINAL-Bench/Darwin-35B-A3B-Opus 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 "FINAL-Bench/Darwin-35B-A3B-Opus" \
    --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": "FINAL-Bench/Darwin-35B-A3B-Opus",
		"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 "FINAL-Bench/Darwin-35B-A3B-Opus" \
        --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": "FINAL-Bench/Darwin-35B-A3B-Opus",
		"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 FINAL-Bench/Darwin-35B-A3B-Opus with Docker Model Runner:
```
docker model run hf.co/FINAL-Bench/Darwin-35B-A3B-Opus
```

You did a great job

by Mithnick - opened Apr 3

Discussion

Mithnick

Apr 3

I've been using Qwen 3.5 35B A3B since it came out and still use it for 10-12 hours a day. All my automations run on it on the RTX 5090.
I also work with Claude Opus 4.6 Max (subscribe), and I have to say – I was shocked. I've been testing your build for two days now. Darwin is amazing! Now it's exactly what I dreamed of. Opus like model on 35b!!! Thank you so much, keep up the good work! We look forward to your new works!!!

SeaWolf-AI

FINAL_Bench org Apr 3

I've been using Qwen 3.5 35B A3B since it came out and still use it for 10-12 hours a day. All my automations run on it on the RTX 5090.
I also work with Claude Opus 4.6 Max (subscribe), and I have to say – I was shocked. I've been testing your build for two days now. Darwin is amazing! Now it's exactly what I dreamed of. Opus like model on 35b!!! Thank you so much, keep up the good work! We look forward to your new works!!!

Thank you so much for your support and kind words.

Today, I was selected by the Korean government as a researcher to receive support for 128 Blackwell GPUs. This is a major turning point for me, and I am deeply grateful.

As the first step, I plan to build a 166B-scale model and release it on Hugging Face. For the second step, I aim to challenge a 1000B model.

Your encouragement means a great deal to me. Thank you sincerely, and I will keep showing the results through my work.

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