Image-Text-to-Text
Transformers
Safetensors
English
opencua
feature-extraction
VLM
Computer-Use-Agent
OS-Agent
GUI
Grounding
conversational
custom_code
4-bit precision
bitsandbytes
Instructions to use sujitvasanth/OpenCUA7BSmartQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sujitvasanth/OpenCUA7BSmartQ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="sujitvasanth/OpenCUA7BSmartQ", 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 AutoModel model = AutoModel.from_pretrained("sujitvasanth/OpenCUA7BSmartQ", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use sujitvasanth/OpenCUA7BSmartQ with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "sujitvasanth/OpenCUA7BSmartQ" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "sujitvasanth/OpenCUA7BSmartQ", "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/sujitvasanth/OpenCUA7BSmartQ
- SGLang
How to use sujitvasanth/OpenCUA7BSmartQ 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 "sujitvasanth/OpenCUA7BSmartQ" \ --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": "sujitvasanth/OpenCUA7BSmartQ", "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 "sujitvasanth/OpenCUA7BSmartQ" \ --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": "sujitvasanth/OpenCUA7BSmartQ", "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 sujitvasanth/OpenCUA7BSmartQ with Docker Model Runner:
docker model run hf.co/sujitvasanth/OpenCUA7BSmartQ
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| "151661": { | |
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| "152063": { | |
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| } | |
| }, | |
| "additional_special_tokens": [ | |
| "<|im_end|>", | |
| "<|im_user|>", | |
| "<|im_assistant|>", | |
| "<|reserved_token_0|>", | |
| "<|start_header_id|>", | |
| "<|end_header_id|>", | |
| "<|reserved_token_1|>", | |
| "[EOT]", | |
| "<|im_system|>", | |
| "<|reserved_token_2|>", | |
| "<|reserved_token_3|>", | |
| "<|reserved_token_4|>", | |
| "<|reserved_token_5|>", | |
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| "<|reserved_token_7|>", | |
| "<|im_middle|>", | |
| "<|media_begin|>", | |
| "<|media_content|>", | |
| "<|media_end|>", | |
| "<|media_placeholder|>" | |
| ], | |
| "bos_token": "[BOS]", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "[EOS]", | |
| "extra_special_tokens": {}, | |
| "chat_template": "{%- for message in messages -%}{%- if loop.first and messages[0]['role'] != 'system' -%}{{'<|im_system|>system<|im_middle|>You are a helpful assistant<|im_end|>'}}{%- endif -%}{%- if message['role'] == 'system' -%}{{'<|im_system|>'}}{%- endif -%}{%- if message['role'] == 'user' -%}{{'<|im_user|>'}}{%- endif -%}{%- if message['role'] == 'assistant' -%}{{'<|im_assistant|>'}}{%- endif -%}{{- message['role'] -}}{{'<|im_middle|>'}}{%- if message['content'] is string -%}{{- message['content'] + '<|im_end|>' -}}{%- else -%}{%- for content in message['content'] -%}{%- if content['type'] == 'image' or 'image' in content or 'image_url' in content -%}{{'<|media_begin|>image<|media_content|><|media_placeholder|><|media_end|>'}}{%- else -%}{{content['text']}}{%- endif -%}{%- endfor -%}{{'<|im_end|>'}}{%- endif -%}{%- endfor -%}{%- if add_generation_prompt -%}{{'<|im_assistant|>assistant<|im_middle|>'}}{%- endif -%}", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "[PAD]", | |
| "tokenizer_class": "TikTokenV3", | |
| "unk_token": "[UNK]", | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenization_opencua.TikTokenV3", | |
| null | |
| ] | |
| } | |
| } |