Instructions to use beaupi/granite-vision-4.1-4b-oQ8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use beaupi/granite-vision-4.1-4b-oQ8 with Transformers:

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

pipe = pipeline("image-text-to-text", model="beaupi/granite-vision-4.1-4b-oQ8", trust_remote_code=True)
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("beaupi/granite-vision-4.1-4b-oQ8", trust_remote_code=True)
model = AutoModelForMultimodalLM.from_pretrained("beaupi/granite-vision-4.1-4b-oQ8", trust_remote_code=True, 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 beaupi/granite-vision-4.1-4b-oQ8 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "beaupi/granite-vision-4.1-4b-oQ8"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "beaupi/granite-vision-4.1-4b-oQ8",
		"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/beaupi/granite-vision-4.1-4b-oQ8

SGLang

How to use beaupi/granite-vision-4.1-4b-oQ8 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 "beaupi/granite-vision-4.1-4b-oQ8" \
    --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": "beaupi/granite-vision-4.1-4b-oQ8",
		"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 "beaupi/granite-vision-4.1-4b-oQ8" \
        --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": "beaupi/granite-vision-4.1-4b-oQ8",
		"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 beaupi/granite-vision-4.1-4b-oQ8 with Docker Model Runner:
```
docker model run hf.co/beaupi/granite-vision-4.1-4b-oQ8
```

granite-vision-4.1-4b-oQ8 / config.json

beaupi

Upload granite-vision-4.1-4b-oQ8 via oMLX

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	{
	"architectures": [
	"Granite4VisionForConditionalGeneration"
	],
	"auto_map": {
	"AutoConfig": "configuration.Granite4VisionConfig",
	"AutoModel": "modeling.Granite4VisionForConditionalGeneration",
	"AutoModelForVision2Seq": "modeling.Granite4VisionForConditionalGeneration",
	"AutoModelForImageTextToText": "modeling.Granite4VisionForConditionalGeneration",
	"AutoProcessor": "processing.Granite4VisionProcessor"
	},
	"spatial_target_layers": [
	12,
	15,
	18,
	21
	],
	"spatial_stride": 2,
	"spatial_vision_layer": -1,
	"downsample_rate": "4/8",
	"dtype": "bfloat16",
	"image_grid_pinpoints": [
	[
	384,
	384
	],
	[
	384,
	768
	],
	[
	384,
	1152
	],
	[
	384,
	1536
	],
	[
	384,
	1920
	],
	[
	384,
	2304
	],
	[
	384,
	2688
	],
	[
	384,
	3072
	],
	[
	384,
	3456
	],
	[
	384,
	3840
	],
	[
	768,
	384
	],
	[
	768,
	768
	],
	[
	768,
	1152
	],
	[
	768,
	1536
	],
	[
	768,
	1920
	],
	[
	1152,
	384
	],
	[
	1152,
	768
	],
	[
	1152,
	1152
	],
	[
	1536,
	384
	],
	[
	1536,
	768
	],
	[
	1920,
	384
	],
	[
	1920,
	768
	],
	[
	2304,
	384
	],
	[
	2688,
	384
	],
	[
	3072,
	384
	],
	[
	3456,
	384
	],
	[
	3840,
	384
	]
	],
	"image_seq_length": 576,
	"image_token_index": 100352,
	"initializer_range": 0.02,
	"model_type": "granite4_vision",
	"projector_dropout": 0.1,
	"projector_hidden_act": "gelu",
	"text_config": {
	"architectures": [
	"GraniteForCausalLM"
	],
	"attention_bias": false,
	"attention_dropout": 0.0,
	"attention_multiplier": 0.015625,
	"bos_token_id": 100257,
	"embedding_multiplier": 12.0,
	"eos_token_id": 100257,
	"hidden_act": "silu",
	"hidden_size": 2560,
	"initializer_range": 0.1,
	"intermediate_size": 8192,
	"logits_scaling": 10.0,
	"max_position_embeddings": 131072,
	"mlp_bias": false,
	"model_type": "granite",
	"num_attention_heads": 40,
	"num_hidden_layers": 40,
	"num_key_value_heads": 8,
	"pad_token_id": 100256,
	"residual_multiplier": 0.22,
	"rms_norm_eps": 1e-05,
	"rope_scaling": null,
	"rope_theta": 10000000,
	"tie_word_embeddings": true,
	"torch_dtype": "bfloat16",
	"transformers_version": "4.53.3",
	"use_cache": true,
	"vocab_size": 100353
	},
	"tie_word_embeddings": true,
	"transformers_version": "4.57.3",
	"use_spatial_sampling": true,
	"use_image_newline_parameter": true,
	"vision_config": {
	"attention_dropout": 0.0,
	"hidden_act": "gelu_pytorch_tanh",
	"hidden_size": 1152,
	"image_size": 384,
	"intermediate_size": 4304,
	"layer_norm_eps": 1e-06,
	"model_type": "siglip_vision_model",
	"num_attention_heads": 16,
	"num_channels": 3,
	"num_hidden_layers": 27,
	"patch_size": 16
	},
	"vision_feature_select_strategy": "full",
	"deepstack_layer_map": [
	[
	-19,
	9
	],
	[
	-13,
	6
	],
	[
	-7,
	3
	],
	[
	-1,
	0
	]
	],
	"eos_token_id": 100257,
	"quantization": {
	"group_size": 64,
	"bits": 8,
	"mode": "affine"
	},
	"quantization_config": {
	"group_size": 64,
	"bits": 8,
	"mode": "affine"
	}
	}