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+ assets/coco_lvis.png filter=lfs diff=lfs merge=lfs -text
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+ assets/demo.mp4 filter=lfs diff=lfs merge=lfs -text
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+ assets/dense_object_detection.png filter=lfs diff=lfs merge=lfs -text
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+ assets/sspro.png filter=lfs diff=lfs merge=lfs -text
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+ assets/teaser.jpg filter=lfs diff=lfs merge=lfs -text
LICENSE ADDED
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README.md ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
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+ license: other
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+ license_name: nvidia-license
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+ license_link: https://huggingface.co/nvidia/LocateAnything-3B/blob/main/LICENSE
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+ language:
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+ - en
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+ base_model:
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+ - nvidia/LocateAnything-3B
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+ pipeline_tag: image-text-to-text
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+ library_name: mlx-vlm
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+ tags:
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+ - mlx
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+ - vision
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+ - object-detection
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+ - grounding
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+ - locateanything
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+ - nvidia
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+ - eagle
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+ ---
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+
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+ # mlx-community/LocateAnything-3B-bf16
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+
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+ MLX format, bfloat16 (unquantized) conversion of [`nvidia/LocateAnything-3B`](https://huggingface.co/nvidia/LocateAnything-3B),
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+ a vision-language model for fast, high-quality visual grounding (object detection,
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+ referring-expression grounding, pointing, GUI/text localization). Converted with
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+ [`mlx-vlm`](https://github.com/Blaizzy/mlx-vlm) for Apple Silicon.
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+
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+ Numerically matches the original bf16 checkpoint; identical grounding output.
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+
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+ ## Requirements
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+
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+ > **Note:** LocateAnything support in `mlx-vlm` currently lives in a pull request
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+ > and is **not yet in a released `mlx-vlm`**. Until it merges, install from the
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+ > branch that adds the `locateanything` model:
35
+ >
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+ > ```bash
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+ > pip install "git+https://github.com/beshkenadze/mlx-vlm@feat/locateanything-3b"
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+ > ```
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+
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+ ## Usage
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+
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+ ```bash
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+ python -m mlx_vlm.generate --model mlx-community/LocateAnything-3B-bf16 \
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+ --image http://images.cocodataset.org/val2017/000000039769.jpg \
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+ --prompt "Detect all objects in the image." --max-tokens 128 --temperature 0.0
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+ ```
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+
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+ Output is structured coordinate tokens, e.g.
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+ `<ref>remote</ref><box><64><152><273><244></box>` with coordinates quantized to
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+ `<0>`..`<1000>` (normalized). Decoding modes: autoregressive (`slow`, default) and
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+ **Parallel Box Decoding** (`fast`/`hybrid`, ~2x faster) via `generation_mode`.
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+
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+ ## Attribution & license
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+
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+ - Derived from **nvidia/LocateAnything-3B** — released under the
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+ [NVIDIA License](https://huggingface.co/nvidia/LocateAnything-3B/blob/main/LICENSE):
57
+ **non-commercial, research/academic use only** (commercial use not permitted
58
+ except by NVIDIA). Redistribution must retain this license and attribution.
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+ - Vision encoder: **MoonViT-SO-400M** (MIT). Language model: **Qwen2.5-3B-Instruct**
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+ (Qwen Research License). Part of the [Eagle VLM](https://github.com/NVlabs/EAGLE) family.
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+
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+ The `LICENSE` file from the source model is included in this repo.
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1029
+ "<null>",
1030
+ "<switch>",
1031
+ {
1032
+ "content": "</c>",
1033
+ "lstrip": false,
1034
+ "normalized": false,
1035
+ "rstrip": false,
1036
+ "single_word": false
1037
+ }
1038
+ ],
1039
+ "eos_token": {
1040
+ "content": "<|im_end|>",
1041
+ "lstrip": false,
1042
+ "normalized": false,
1043
+ "rstrip": false,
1044
+ "single_word": false
1045
+ },
1046
+ "pad_token": {
1047
+ "content": "<|endoftext|>",
1048
+ "lstrip": false,
1049
+ "normalized": false,
1050
+ "rstrip": false,
1051
+ "single_word": false
1052
+ }
1053
+ }
tokenizer_config.json ADDED
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vocab.json ADDED
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