Model Details
Full Model IDmudler/locate-anything.cpp-gguf
Pipeline / Taskobject-detection
Librarygguf
Downloads (all-time)8.9M
Likes66
Last Modified6/11/2026
Author / Orgmudler
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("object-detection", model="mudler/locate-anything.cpp-gguf")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
gguflocate-anything.cppggmlobject-detectionopen-vocabulary-detectionvisual-groundinglocalaibase_model:nvidia/LocateAnything-3Bbase_model:quantized:nvidia/LocateAnything-3Blicense:otherregion:us
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🔍 Task: Object Detection
This model is designed for the Object Detection task. Explore more models for this use case.
All Object Detection Models →📊 Popularity
⬇ Downloads8.9M
❤️ Community Likes66
🛠️ Requirements
- →Install: pip install gguf
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.