Image-Text-to-Text
Safetensors
MLX
English
mlx-vlm
locateanything
vision
object-detection
grounding
nvidia
eagle
conversational
4-bit precision
Instructions to use mlx-community/LocateAnything-3B-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/LocateAnything-3B-4bit with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("mlx-community/LocateAnything-3B-4bit") config = load_config("mlx-community/LocateAnything-3B-4bit") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| license: other | |
| license_name: nvidia-license | |
| license_link: https://huggingface.co/nvidia/LocateAnything-3B/blob/main/LICENSE | |
| language: | |
| - en | |
| base_model: | |
| - nvidia/LocateAnything-3B | |
| pipeline_tag: image-text-to-text | |
| library_name: mlx-vlm | |
| tags: | |
| - mlx | |
| - vision | |
| - object-detection | |
| - grounding | |
| - locateanything | |
| - nvidia | |
| - eagle | |
| # mlx-community/LocateAnything-3B-4bit | |
| MLX mixed 4/8-bit (`mixed_4_8`, ~6.7 bits/weight) conversion of [`nvidia/LocateAnything-3B`](https://huggingface.co/nvidia/LocateAnything-3B), | |
| a vision-language model for fast, high-quality visual grounding (object detection, | |
| referring-expression grounding, pointing, GUI/text localization). Converted with | |
| [`mlx-vlm`](https://github.com/Blaizzy/mlx-vlm) for Apple Silicon. | |
| Box coordinates stay accurate (within ~1-2 quant levels of bf16); semantic labels may generalize (e.g. `object` instead of `remote`). Pure 4-bit was not released because quantizing the tied `embed_tokens`/`lm_head` destroys coordinate-token precision. | |
| ## Requirements | |
| > **Note:** LocateAnything support in `mlx-vlm` currently lives in a pull request | |
| > and is **not yet in a released `mlx-vlm`**. Until it merges, install from the | |
| > branch that adds the `locateanything` model: | |
| > | |
| > ```bash | |
| > pip install "git+https://github.com/beshkenadze/mlx-vlm@feat/locateanything-3b" | |
| > ``` | |
| ## Usage | |
| ```bash | |
| python -m mlx_vlm.generate --model mlx-community/LocateAnything-3B-4bit \ | |
| --image http://images.cocodataset.org/val2017/000000039769.jpg \ | |
| --prompt "Detect all objects in the image." --max-tokens 128 --temperature 0.0 | |
| ``` | |
| Output is structured coordinate tokens, e.g. | |
| `<ref>remote</ref><box><64><152><273><244></box>` with coordinates quantized to | |
| `<0>`..`<1000>` (normalized). Decoding modes: autoregressive (`slow`, default) and | |
| **Parallel Box Decoding** (`fast`/`hybrid`, ~2x faster) via `generation_mode`. | |
| ## Attribution & license | |
| - Derived from **nvidia/LocateAnything-3B** — released under the | |
| [NVIDIA License](https://huggingface.co/nvidia/LocateAnything-3B/blob/main/LICENSE): | |
| **non-commercial, research/academic use only** (commercial use not permitted | |
| except by NVIDIA). Redistribution must retain this license and attribution. | |
| - Vision encoder: **MoonViT-SO-400M** (MIT). Language model: **Qwen2.5-3B-Instruct** | |
| (Qwen Research License). Part of the [Eagle VLM](https://github.com/NVlabs/EAGLE) family. | |
| The `LICENSE` file from the source model is included in this repo. | |