Instructions to use inference-optimization/Inkling-0.6B-A0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use inference-optimization/Inkling-0.6B-A0.6B with Transformers:

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

pipe = pipeline("image-text-to-text", model="inference-optimization/Inkling-0.6B-A0.6B")
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("inference-optimization/Inkling-0.6B-A0.6B")
model = AutoModelForMultimodalLM.from_pretrained("inference-optimization/Inkling-0.6B-A0.6B")
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 inference-optimization/Inkling-0.6B-A0.6B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "inference-optimization/Inkling-0.6B-A0.6B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "inference-optimization/Inkling-0.6B-A0.6B",
		"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/inference-optimization/Inkling-0.6B-A0.6B

SGLang

How to use inference-optimization/Inkling-0.6B-A0.6B 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 "inference-optimization/Inkling-0.6B-A0.6B" \
    --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": "inference-optimization/Inkling-0.6B-A0.6B",
		"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 "inference-optimization/Inkling-0.6B-A0.6B" \
        --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": "inference-optimization/Inkling-0.6B-A0.6B",
		"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 inference-optimization/Inkling-0.6B-A0.6B with Docker Model Runner:
```
docker model run hf.co/inference-optimization/Inkling-0.6B-A0.6B
```

Inkling-0.6B-A0.6B / tokenizer_config.json

kylesayrs

Upload folder using huggingface_hub

f8db856 verified about 23 hours ago

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	{
	"audio": "<\|audio\|>",
	"audio_end": "<\|audio_end\|>",
	"backend": "tokenizers",
	"begin_of_text": "<\|begin_of_text\|>",
	"clean_up_tokenization_spaces": false,
	"content_audio_input": "<\|content_audio_input\|>",
	"content_image": "<\|content_image\|>",
	"content_invoke_tool_json": "<\|content_invoke_tool_json\|>",
	"content_invoke_tool_text": "<\|content_invoke_tool_text\|>",
	"content_model_end_sampling": "<\|content_model_end_sampling\|>",
	"content_text": "<\|content_text\|>",
	"content_thinking": "<\|content_thinking\|>",
	"content_tool_error": "<\|content_tool_error\|>",
	"content_xml": "<\|content_xml\|>",
	"end_message": "<\|end_message\|>",
	"endoftext": "<\|endoftext\|>",
	"eos_token": "<\|endoftext\|>",
	"fix_mistral_regex": false,
	"is_local": true,
	"local_files_only": false,
	"message_model": "<\|message_model\|>",
	"message_system": "<\|message_system\|>",
	"message_tool": "<\|message_tool\|>",
	"message_user": "<\|message_user\|>",
	"model_max_length": 1000000000000000019884624838656,
	"model_specific_special_tokens": {
	"audio": "<\|audio\|>",
	"audio_end": "<\|audio_end\|>",
	"begin_of_text": "<\|begin_of_text\|>",
	"content_audio_input": "<\|content_audio_input\|>",
	"content_image": "<\|content_image\|>",
	"content_invoke_tool_json": "<\|content_invoke_tool_json\|>",
	"content_invoke_tool_text": "<\|content_invoke_tool_text\|>",
	"content_model_end_sampling": "<\|content_model_end_sampling\|>",
	"content_text": "<\|content_text\|>",
	"content_thinking": "<\|content_thinking\|>",
	"content_tool_error": "<\|content_tool_error\|>",
	"content_xml": "<\|content_xml\|>",
	"end_message": "<\|end_message\|>",
	"endoftext": "<\|endoftext\|>",
	"message_model": "<\|message_model\|>",
	"message_system": "<\|message_system\|>",
	"message_tool": "<\|message_tool\|>",
	"message_user": "<\|message_user\|>"
	},
	"pad_token": "<\|endoftext\|>",
	"processor_class": "InklingProcessor",
	"tokenizer_class": "TokenizersBackend"
	}

	{
	"audio": "<\|audio\|>",
	"audio_end": "<\|audio_end\|>",
	"backend": "tokenizers",
	"begin_of_text": "<\|begin_of_text\|>",
	"clean_up_tokenization_spaces": false,
	"content_audio_input": "<\|content_audio_input\|>",
	"content_image": "<\|content_image\|>",
	"content_invoke_tool_json": "<\|content_invoke_tool_json\|>",
	"content_invoke_tool_text": "<\|content_invoke_tool_text\|>",
	"content_model_end_sampling": "<\|content_model_end_sampling\|>",
	"content_text": "<\|content_text\|>",
	"content_thinking": "<\|content_thinking\|>",
	"content_tool_error": "<\|content_tool_error\|>",
	"content_xml": "<\|content_xml\|>",
	"end_message": "<\|end_message\|>",
	"endoftext": "<\|endoftext\|>",
	"eos_token": "<\|endoftext\|>",
	"fix_mistral_regex": false,
	"is_local": true,
	"local_files_only": false,
	"message_model": "<\|message_model\|>",
	"message_system": "<\|message_system\|>",
	"message_tool": "<\|message_tool\|>",
	"message_user": "<\|message_user\|>",
	"model_max_length": 1000000000000000019884624838656,
	"model_specific_special_tokens": {
	"audio": "<\|audio\|>",
	"audio_end": "<\|audio_end\|>",
	"begin_of_text": "<\|begin_of_text\|>",
	"content_audio_input": "<\|content_audio_input\|>",
	"content_image": "<\|content_image\|>",
	"content_invoke_tool_json": "<\|content_invoke_tool_json\|>",
	"content_invoke_tool_text": "<\|content_invoke_tool_text\|>",
	"content_model_end_sampling": "<\|content_model_end_sampling\|>",
	"content_text": "<\|content_text\|>",
	"content_thinking": "<\|content_thinking\|>",
	"content_tool_error": "<\|content_tool_error\|>",
	"content_xml": "<\|content_xml\|>",
	"end_message": "<\|end_message\|>",
	"endoftext": "<\|endoftext\|>",
	"message_model": "<\|message_model\|>",
	"message_system": "<\|message_system\|>",
	"message_tool": "<\|message_tool\|>",
	"message_user": "<\|message_user\|>"
	},
	"pad_token": "<\|endoftext\|>",
	"processor_class": "InklingProcessor",
	"tokenizer_class": "TokenizersBackend"
	}