Instructions to use Float16-cloud/typhoon-ocr1.5-2b-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Float16-cloud/typhoon-ocr1.5-2b-int8 with Transformers:

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

pipe = pipeline("image-text-to-text", model="Float16-cloud/typhoon-ocr1.5-2b-int8")
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("Float16-cloud/typhoon-ocr1.5-2b-int8")
model = AutoModelForMultimodalLM.from_pretrained("Float16-cloud/typhoon-ocr1.5-2b-int8")
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 Float16-cloud/typhoon-ocr1.5-2b-int8 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Float16-cloud/typhoon-ocr1.5-2b-int8"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Float16-cloud/typhoon-ocr1.5-2b-int8",
		"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/Float16-cloud/typhoon-ocr1.5-2b-int8

SGLang

How to use Float16-cloud/typhoon-ocr1.5-2b-int8 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 "Float16-cloud/typhoon-ocr1.5-2b-int8" \
    --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": "Float16-cloud/typhoon-ocr1.5-2b-int8",
		"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 "Float16-cloud/typhoon-ocr1.5-2b-int8" \
        --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": "Float16-cloud/typhoon-ocr1.5-2b-int8",
		"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 Float16-cloud/typhoon-ocr1.5-2b-int8 with Docker Model Runner:
```
docker model run hf.co/Float16-cloud/typhoon-ocr1.5-2b-int8
```

typhoon-ocr1.5-2b-int8

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  "architectures": [
    "Qwen3VLForConditionalGeneration"
  ],
  "dtype": "bfloat16",
  "image_token_id": 151655,
  "model_type": "qwen3_vl",
  "quantization_config": {
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    "modules_to_not_convert": null,
    "quant_method": "torchao",
    "quant_type": {
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              "_type": "PerRow",
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              "_data": {},
              "_type": "PerRow",
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            }
          ],
          "kernel_preference": {
            "_data": "FBGEMM",
            "_type": "KernelPreference"
          },
          "mm_config": {
            "_data": {
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              "pad_inner_dim": false,
              "use_fast_accum": true
            },
            "_type": "Float8MMConfig",
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          },
          "set_inductor_config": true,
          "weight_dtype": {
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            "_type": "torch.dtype"
          }
        },
        "_type": "Float8DynamicActivationFloat8WeightConfig",
        "_version": 2
      }
    },
    "quant_type_kwargs": {},
    "untie_embedding_weights": false
  },
  "text_config": {
    "attention_bias": false,
    "attention_dropout": 0.0,
    "bos_token_id": 151643,
    "dtype": "bfloat16",
    "eos_token_id": 151645,
    "head_dim": 128,
    "hidden_act": "silu",
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    "initializer_range": 0.02,
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    "max_position_embeddings": 262144,
    "model_type": "qwen3_vl_text",
    "num_attention_heads": 16,
    "num_hidden_layers": 28,
    "num_key_value_heads": 8,
    "rms_norm_eps": 1e-06,
    "rope_scaling": {
      "mrope_interleaved": true,
      "mrope_section": [
        24,
        20,
        20
      ],
      "rope_type": "default"
    },
    "rope_theta": 5000000,
    "tie_word_embeddings": true,
    "use_cache": true,
    "vocab_size": 151936
  },
  "tie_word_embeddings": true,
  "transformers_version": "4.57.1",
  "video_token_id": 151656,
  "vision_config": {
    "deepstack_visual_indexes": [
      5,
      11,
      17
    ],
    "depth": 24,
    "dtype": "bfloat16",
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1024,
    "in_channels": 3,
    "initializer_range": 0.02,
    "intermediate_size": 4096,
    "model_type": "qwen3_vl",
    "num_heads": 16,
    "num_position_embeddings": 2304,
    "out_hidden_size": 2048,
    "patch_size": 16,
    "spatial_merge_size": 2,
    "temporal_patch_size": 2
  },
  "vision_end_token_id": 151653,
  "vision_start_token_id": 151652
}