Instructions to use prefeitura-rio/Rio-3.5-Open-397B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use prefeitura-rio/Rio-3.5-Open-397B with Transformers:

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

pipe = pipeline("image-text-to-text", model="prefeitura-rio/Rio-3.5-Open-397B")
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, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("prefeitura-rio/Rio-3.5-Open-397B")
model = AutoModelForMultimodalLM.from_pretrained("prefeitura-rio/Rio-3.5-Open-397B", 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=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use prefeitura-rio/Rio-3.5-Open-397B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "prefeitura-rio/Rio-3.5-Open-397B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prefeitura-rio/Rio-3.5-Open-397B",
		"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/prefeitura-rio/Rio-3.5-Open-397B

SGLang

How to use prefeitura-rio/Rio-3.5-Open-397B 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 "prefeitura-rio/Rio-3.5-Open-397B" \
    --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": "prefeitura-rio/Rio-3.5-Open-397B",
		"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 "prefeitura-rio/Rio-3.5-Open-397B" \
        --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": "prefeitura-rio/Rio-3.5-Open-397B",
		"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 prefeitura-rio/Rio-3.5-Open-397B with Docker Model Runner:
```
docker model run hf.co/prefeitura-rio/Rio-3.5-Open-397B
```

If you do not upload the post-training model you mentioned within 2 to 3 days, then it is effectively a lie.

#19

by cocorang - opened Jun 15

Discussion

cocorang

Jun 15

Surely you're not thinking of buying time by using a post-training model that hasn't even been built yet as an excuse, right? lol Even considering internet speeds, 2 to 3 days is still a very long time. lol 😂

Enigrand

Jun 15

•

edited Jun 15

To authors of this model, we're waiting for you to provide evidences to your claim, 'We detected an incorrect upload and are working to reupload the correct model as soon as possible.'.

AlexandreKawaiDesune

Jun 15

I think 15 hours for fixing an upload issue is more than enough...

Maybe their internet is REALLY slow /s

martignago

Jun 15

True. That's the end of our dream.

amarosnithe

Jun 16

The devs right now:

spanspek

Jun 16

"We tried to recover the final model, but it was not possible."

https://x.com/IplanRio_rj/status/2066693494769348946

VaLtEc-BoY

Jun 16

amarosnithe

Jun 16

"We tried to recover the final model, but it was not possible."

https://x.com/IplanRio_rj/status/2066693494769348946

HAHAHAHAHAHAHAHA BRUH. HOW CAN A DEV "LOSE" THEIR FINAL WEIGHTS?? HOW CAN YOU MAKE AND RELEASE A ENTIRE PAGE DEDICATED TO SAID MODEL AND WITH X PROMISES BUT WITHOUT THE FUCKING MODEL?? 😭😭😭(MY BROTHER YOU APPARENTLY MADE THE CHECKPOINTS, USE THEM, RETRAIN THE FINAL ONE, IDK DO SOMETHING)

This whole situation screams: "There was never any finished model, we only used the publicity to attract investors and do the marketing we needed.. hihi levei vantagi faz o L mlk!!!"

Only in BOSTIL, TIL TIL TIL... Where the lamppost pees on the dog, or where the cop gets sent to prison.

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