Instructions to use sujitvasanth/OpenCUA7BQfp164bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sujitvasanth/OpenCUA7BQfp164bit with Transformers:

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

pipe = pipeline("image-text-to-text", model="sujitvasanth/OpenCUA7BQfp164bit", 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/OpenCUA7BQfp164bit", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use sujitvasanth/OpenCUA7BQfp164bit with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "sujitvasanth/OpenCUA7BQfp164bit"
# 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/OpenCUA7BQfp164bit",
		"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/OpenCUA7BQfp164bit

SGLang

How to use sujitvasanth/OpenCUA7BQfp164bit 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/OpenCUA7BQfp164bit" \
    --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/OpenCUA7BQfp164bit",
		"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/OpenCUA7BQfp164bit" \
        --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/OpenCUA7BQfp164bit",
		"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/OpenCUA7BQfp164bit with Docker Model Runner:
```
docker model run hf.co/sujitvasanth/OpenCUA7BQfp164bit
```

sujitvasanth commited on Oct 5, 2025

Commit

a7e4cd2

verified ·

1 Parent(s): 5d10e99

Upload modeling_opencua.py

Browse files

2 small changesa to work with newer transformers libraries (old value is commented out)

@property
def _supports_sdpa(self):
return True #self.language_model._supports_sdpa
----
if past_key_values is not None:
if isinstance(past_key_values, Cache):
cache_length = past_key_values.get_seq_length()
past_length = cache_length # past_key_values.seen_tokens
--------

Files changed (1) hide show

modeling_opencua.py +2 -2

modeling_opencua.py CHANGED Viewed

@@ -94,7 +94,7 @@ class OpenCUAPreTrainedModel(PreTrainedModel):
         Retrieve language_model's attribute to check whether the model supports
         SDPA or not.
         """
-        return self.language_model._supports_sdpa
 class OpenCUAForConditionalGeneration(OpenCUAPreTrainedModel):
@@ -397,7 +397,7 @@ class OpenCUAForConditionalGeneration(OpenCUAPreTrainedModel):
         if past_key_values is not None:
             if isinstance(past_key_values, Cache):
                 cache_length = past_key_values.get_seq_length()
-                past_length = past_key_values.seen_tokens
             else:
                 cache_length = past_length = past_key_values[0][0].shape[2]

         Retrieve language_model's attribute to check whether the model supports
         SDPA or not.
         """
+        return True #self.language_model._supports_sdpa
 class OpenCUAForConditionalGeneration(OpenCUAPreTrainedModel):
         if past_key_values is not None:
             if isinstance(past_key_values, Cache):
                 cache_length = past_key_values.get_seq_length()
+                past_length = cache_length # past_key_values.seen_tokens
             else:
                 cache_length = past_length = past_key_values[0][0].shape[2]