Instructions to use prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF with Transformers:

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

pipe = pipeline("image-text-to-text", model="prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF")
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("prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF:BF16
# Run inference directly in the terminal:
llama cli -hf prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF:BF16
# Run inference directly in the terminal:
llama cli -hf prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF:BF16

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF:BF16
# Run inference directly in the terminal:
./llama-cli -hf prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF:BF16

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF:BF16

Use Docker

docker model run hf.co/prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF:BF16

LM Studio
Jan

vLLM

How to use prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF",
		"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/prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF:BF16

SGLang

How to use prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF 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 "prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF" \
    --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": "prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF",
		"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 "prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF" \
        --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": "prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF",
		"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"
						}
					}
				]
			}
		]
	}'

Ollama
How to use prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF with Ollama:
```
ollama run hf.co/prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF:BF16
```

Unsloth Studio

How to use prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF to start chatting

Docker Model Runner
How to use prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF with Docker Model Runner:
```
docker model run hf.co/prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF:BF16
```

Lemonade

How to use prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull prithivMLmods/Gliese-CUA-Tool-Call-8B-Localization-GGUF:BF16

Run and chat with the model

lemonade run user.Gliese-CUA-Tool-Call-8B-Localization-GGUF-BF16

List all available models

lemonade list

Atomic Chat

Gliese-CUA-Tool-Call-8B-Localization-GGUF

Gliese-CUA-Tool-Call-8B is a Computer Use Agent (CUA) multimodal model based on Qwen2.5-VL-7B-Instruct, designed for GUI understanding, UI localization, and action execution across web, desktop, and mobile environments. It focuses on visual grounding, intent driven actioning, and UI based question answering (VQA), enabling reliable interaction with real world software interfaces. The model is optimized for agentic tool calling, producing structured actions that can be directly executed by downstream systems.

Localization-8B/**

Gliese-CUA-Tool-Call-8B-Localization [GGUF]

File Name	Quant Type	File Size	File Link
Gliese-CUA-Tool-Call-8B-Localization.BF16.gguf	BF16	15.2 GB	Download
Gliese-CUA-Tool-Call-8B-Localization.F16.gguf	F16	15.2 GB	Download
Gliese-CUA-Tool-Call-8B-Localization.Q8_0.gguf	Q8_0	8.1 GB	Download
Gliese-CUA-Tool-Call-8B-Localization.mmproj-bf16.gguf	mmproj-bf16	1.36 GB	Download
Gliese-CUA-Tool-Call-8B-Localization.mmproj-f16.gguf	mmproj-f16	1.35 GB	Download
Gliese-CUA-Tool-Call-8B-Localization.mmproj-q8_0.gguf	mmproj-q8_0	856 MB	Download