mudler/locate-anything.cpp-gguf

object-detection model by mudler

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GGUF builds of nvidia/LocateAnything-3B for locate-anything.cpp - a C++/ggml inference engine for open-vocabulary detection / visual grounding, no Python at inference time. Brought to you by the LocalAI team. The detections are the same as the official PyTorch implementation (the engine is parity-gated against it), and it runs faster - on CPU and GPU. The full-precision f32 GGUF (15 GB) is reproducible from the HF weights with scripts/convertlocateanythingtogguf.py in the repo. Same detections as the official model, faster. Full methodology, the warm/median setup, parity checks, and more images are in the repo's benchmarks/BENCHMARK.md. Slow-mode inference on the 448 fixture; vs official divides the official PyTorch f32 time (23.65 s) by each. Only the Qwen2 LM matmuls are quantized, so box parity is preserved through q6k: Run against the official model exactly as its model card documents (bf16), greedily, on one GB10 GPU. Precision-matched (our f16 vs its bf16) ours is…

mudler/locate-anything.cpp-gguf on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. locate-anything.cpp - GGUF
  2. Files
  3. Performance
  4. Quantization (CPU, Ryzen 9 9950X3D)
  5. GPU (NVIDIA GB10, vs the official bf16 model)
  6. Quantization policy
  7. Usage
  8. License

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Model overview

mudler/locate-anything.cpp-gguf is a object-detection model repository published by mudler on Hugging Face. The source reports the gguf library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
object-detection
Library
gguf
Recent downloads (30 days)
3,917,880
Cumulative likes
73
Hugging Face trending score
4
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-06-11T13:55:12.000Z
Last modified
2026-06-11T22:46:02.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: nvidia/LocateAnything-3B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:34.007Z. Daily imports are snapshots, not real-time monitoring.

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