liodon-ai/LocateAnything-3B-imatrix-GGUF
LocateAnything-3B — iMatrix GGUF
iMatrix GGUF quantizations of [nvidia/LocateAnything-3B](https://huggingface.co/nvidia/LocateAnything-3B) — the first GGUF available for this model.
LocateAnything-3B is NVIDIA's 3B visual grounding model — it locates and identifies objects in images given natural language descriptions. Designed for on-device deployment and robotics applications.
These GGUFs use importance matrix (iMatrix) calibration on 2M tokens of wikitext-103: iMatrix runs calibration text through the model, measures which weights activate most, and protects them during quantization. Result: noticeably better coherence at Q2/Q3/Q4 — same file size, better output.
Quick Start
llama.cpp
llama-cli -hf liodon-ai/LocateAnything-3B-imatrix-GGUF:Q4_K_MLM Studio / Jan
Search liodon-ai/LocateAnything-3B-imatrix-GGUF and pick your quant.
Available Quants
What is iMatrix?
Standard quantization rounds all weights equally. iMatrix:
- Runs calibration text through the full-precision model
- Measures which weights activate most (the "importance matrix")
- Allocates more precision to important weights, less to unimportant ones
Same file size. Better output. Most noticeable at Q2/Q3/Q4.
Calibration
Importance matrix computed from 2M tokens of wikitext-103 — 128 calibration chunks.
Source Model
- Original: nvidia/LocateAnything-3B
- Architecture: 3B visual grounding model
- Strengths: Object localization, visual grounding, on-device robotics
- License: NVIDIA Open Model License
