Image-Text-to-Text
Transformers
Safetensors
English
Turkish
qwen3_5
loopl
on-device
agent
tool-calling
qwen3.5
sft
vision
conversational
Instructions to use cagataydev/loopl-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cagataydev/loopl-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="cagataydev/loopl-4b") 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)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("cagataydev/loopl-4b") model = AutoModelForMultimodalLM.from_pretrained("cagataydev/loopl-4b", device_map="auto") 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=256) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use cagataydev/loopl-4b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cagataydev/loopl-4b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cagataydev/loopl-4b", "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/cagataydev/loopl-4b
- SGLang
How to use cagataydev/loopl-4b 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 "cagataydev/loopl-4b" \ --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": "cagataydev/loopl-4b", "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 "cagataydev/loopl-4b" \ --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": "cagataydev/loopl-4b", "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 cagataydev/loopl-4b with Docker Model Runner:
docker model run hf.co/cagataydev/loopl-4b
card: loopl 4B v1.1 (bf16) — train/cards.py
Browse files
README.md
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<a href="https://loopl.dev"><img src="https://huggingface.co/cagataydev/loopl-4b/resolve/main/assets/banner.png" alt="loopl — Agents that run on your phone." width="100%"></a>
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<div align="center" style="display:flex;flex-wrap:wrap;gap:6px;justify-content:center"><a href="https://huggingface.co/cagataydev/loopl-4b/blob/main/README.md#license"><img alt="license: Apache 2.0" src="https://img.shields.io/badge/license-Apache%202.0-5d5d63?style=flat-square&labelColor=0b0b0c"></a> <img alt="bf16: transformers · 9.08 GB" src="https://img.shields.io/badge/bf16-transformers%20%C2%B7%209.08%20GB-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="vision: ✓ 297 tensors kept" src="https://img.shields.io/badge/vision-%E2%9C%93%20297%20tensors%20kept-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="tool calling: native + loopl JSON" src="https://img.shields.io/badge/tool%20calling-native%20%2B%20loopl%20JSON-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="params: 4B" src="https://img.shields.io/badge/params-4B-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="version: v1.1" src="https://img.shields.io/badge/version-v1.1-5d5d63?style=flat-square&labelColor=0b0b0c"> <a href="https://testflight.apple.com/join/uUNjfzW9"><img alt="Get it on: TestFlight" src="https://img.shields.io/badge/Get%20it%20on-TestFlight-ff5a1f?style=flat-square&labelColor=0b0b0c&logo=apple&logoColor=white"></a> <a href="https://loopl.dev"><img alt="site: loopl.dev" src="https://img.shields.io/badge/site-loopl.dev-c2410c?style=flat-square&labelColor=0b0b0c"></a> <a href="https://huggingface.co/collections/cagataydev/loopl-on-device-agents-swift-6ac51395b13a9c41d4932eaf"><img alt="collection:
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# loopl 4B · v1.1
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<a href="https://loopl.dev"><img src="https://huggingface.co/cagataydev/loopl-4b/resolve/main/assets/banner.png" alt="loopl — Agents that run on your phone." width="100%"></a>
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<div align="center" style="display:flex;flex-wrap:wrap;gap:6px;justify-content:center"><a href="https://huggingface.co/cagataydev/loopl-4b/blob/main/README.md#license"><img alt="license: Apache 2.0" src="https://img.shields.io/badge/license-Apache%202.0-5d5d63?style=flat-square&labelColor=0b0b0c"></a> <img alt="bf16: transformers · 9.08 GB" src="https://img.shields.io/badge/bf16-transformers%20%C2%B7%209.08%20GB-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="vision: ✓ 297 tensors kept" src="https://img.shields.io/badge/vision-%E2%9C%93%20297%20tensors%20kept-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="tool calling: native + loopl JSON" src="https://img.shields.io/badge/tool%20calling-native%20%2B%20loopl%20JSON-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="params: 4B" src="https://img.shields.io/badge/params-4B-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="version: v1.1" src="https://img.shields.io/badge/version-v1.1-5d5d63?style=flat-square&labelColor=0b0b0c"> <a href="https://testflight.apple.com/join/uUNjfzW9"><img alt="Get it on: TestFlight" src="https://img.shields.io/badge/Get%20it%20on-TestFlight-ff5a1f?style=flat-square&labelColor=0b0b0c&logo=apple&logoColor=white"></a> <a href="https://loopl.dev"><img alt="site: loopl.dev" src="https://img.shields.io/badge/site-loopl.dev-c2410c?style=flat-square&labelColor=0b0b0c"></a> <a href="https://huggingface.co/collections/cagataydev/loopl-on-device-agents-swift-6ac51395b13a9c41d4932eaf"><img alt="collection: 10 models" src="https://img.shields.io/badge/collection-10%20models-c2410c?style=flat-square&labelColor=0b0b0c"></a></div>
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# loopl 4B · v1.1
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