Image-Text-to-Text
Safetensors
MLX
English
mlx-vlm
locateanything
vision
object-detection
grounding
nvidia
eagle
conversational
Instructions to use mlx-community/LocateAnything-3B-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/LocateAnything-3B-bf16 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-bf16") config = load_config("mlx-community/LocateAnything-3B-bf16") # 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
- Atomic Chat
Upload folder using huggingface_hub
Browse files- .gitattributes +8 -0
- LICENSE +74 -0
- README.md +62 -0
- added_tokens.json +1040 -0
- assets/coco_lvis.png +3 -0
- assets/decoding_demo.mp4 +3 -0
- assets/demo.mp4 +3 -0
- assets/dense_object_detection.png +3 -0
- assets/layout_ocr.png +3 -0
- assets/pointing.png +0 -0
- assets/referring.png +3 -0
- assets/sspro.png +3 -0
- assets/teaser.jpg +3 -0
- chat_template.jinja +7 -0
- chat_template.json +4 -0
- config.json +78 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +776 -0
- preprocessor_config.json +24 -0
- processor_config.json +22 -0
- special_tokens_map.json +1053 -0
- tokenizer_config.json +0 -0
- vocab.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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assets/coco_lvis.png filter=lfs diff=lfs merge=lfs -text
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assets/decoding_demo.mp4 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
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LICENSE
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README.md
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---
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| 2 |
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license: other
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| 3 |
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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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| 5 |
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language:
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| 6 |
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- en
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| 7 |
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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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| 12 |
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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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# mlx-community/LocateAnything-3B-bf16
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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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Numerically matches the original bf16 checkpoint; identical grounding output.
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## Requirements
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| 31 |
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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:
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| 35 |
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>
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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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## Usage
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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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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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| 51 |
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**Parallel Box Decoding** (`fast`/`hybrid`, ~2x faster) via `generation_mode`.
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## Attribution & license
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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):
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| 57 |
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**non-commercial, research/academic use only** (commercial use not permitted
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except by NVIDIA). Redistribution must retain this license and attribution.
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| 59 |
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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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| 61 |
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The `LICENSE` file from the source model is included in this repo.
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added_tokens.json
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|
| 1 |
+
{
|
| 2 |
+
"</box>": 151669,
|
| 3 |
+
"</c>": 152680,
|
| 4 |
+
"</img>": 151667,
|
| 5 |
+
"</interval>": 151675,
|
| 6 |
+
"</quad>": 151671,
|
| 7 |
+
"</ref>": 151673,
|
| 8 |
+
"</tool_call>": 151658,
|
| 9 |
+
"<0>": 151677,
|
| 10 |
+
"<1000>": 152677,
|
| 11 |
+
"<100>": 151777,
|
| 12 |
+
"<101>": 151778,
|
| 13 |
+
"<102>": 151779,
|
| 14 |
+
"<103>": 151780,
|
| 15 |
+
"<104>": 151781,
|
| 16 |
+
"<105>": 151782,
|
| 17 |
+
"<106>": 151783,
|
| 18 |
+
"<107>": 151784,
|
| 19 |
+
"<108>": 151785,
|
| 20 |
+
"<109>": 151786,
|
| 21 |
+
"<10>": 151687,
|
| 22 |
+
"<110>": 151787,
|
| 23 |
+
"<111>": 151788,
|
| 24 |
+
"<112>": 151789,
|
| 25 |
+
"<113>": 151790,
|
| 26 |
+
"<114>": 151791,
|
| 27 |
+
"<115>": 151792,
|
| 28 |
+
"<116>": 151793,
|
| 29 |
+
"<117>": 151794,
|
| 30 |
+
"<118>": 151795,
|
| 31 |
+
"<119>": 151796,
|
| 32 |
+
"<11>": 151688,
|
| 33 |
+
"<120>": 151797,
|
| 34 |
+
"<121>": 151798,
|
| 35 |
+
"<122>": 151799,
|
| 36 |
+
"<123>": 151800,
|
| 37 |
+
"<124>": 151801,
|
| 38 |
+
"<125>": 151802,
|
| 39 |
+
"<126>": 151803,
|
| 40 |
+
"<127>": 151804,
|
| 41 |
+
"<128>": 151805,
|
| 42 |
+
"<129>": 151806,
|
| 43 |
+
"<12>": 151689,
|
| 44 |
+
"<130>": 151807,
|
| 45 |
+
"<131>": 151808,
|
| 46 |
+
"<132>": 151809,
|
| 47 |
+
"<133>": 151810,
|
| 48 |
+
"<134>": 151811,
|
| 49 |
+
"<135>": 151812,
|
| 50 |
+
"<136>": 151813,
|
| 51 |
+
"<137>": 151814,
|
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|
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| 1035 |
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|
| 1038 |
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|
| 1039 |
+
"<|vision_start|>": 151652
|
| 1040 |
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}
|
assets/coco_lvis.png
ADDED
|
Git LFS Details
|
assets/decoding_demo.mp4
ADDED
|
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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|
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size 24955186
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assets/demo.mp4
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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|
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size 101601160
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assets/dense_object_detection.png
ADDED
|
Git LFS Details
|
assets/layout_ocr.png
ADDED
|
Git LFS Details
|
assets/pointing.png
ADDED
|
assets/referring.png
ADDED
|
Git LFS Details
|
assets/sspro.png
ADDED
|
Git LFS Details
|
assets/teaser.jpg
ADDED
|
Git LFS Details
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
|
| 2 |
+
You are a helpful assistant.<|im_end|>
|
| 3 |
+
{% endif %}<|im_start|>{{ message['role'] }}
|
| 4 |
+
{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
|
| 5 |
+
{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}<image {{ image_count.value }}>{% endif %}<image-{{ image_count.value }}>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}<video {{ video_count.value }}>{% endif %}<video-{{ video_count.value }}>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
|
| 6 |
+
{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
|
| 7 |
+
{% endif %}
|
chat_template.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}<image {{ image_count.value }}>{% endif %}<image-{{ image_count.value }}>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}<video {{ video_count.value }}>{% endif %}<video-{{ video_count.value }}>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
|
| 3 |
+
}
|
| 4 |
+
|
config.json
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"_attn_implementation": "magi",
|
| 3 |
+
"_commit_hash": null,
|
| 4 |
+
"architectures": [
|
| 5 |
+
"LocateAnythingForConditionalGeneration"
|
| 6 |
+
],
|
| 7 |
+
"box_end_token_id": 151669,
|
| 8 |
+
"box_start_token_id": 151668,
|
| 9 |
+
"coord_end_token_id": 152677,
|
| 10 |
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"coord_start_token_id": 151677,
|
| 11 |
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"eos_token_id": 151645,
|
| 12 |
+
"image_token_index": 151665,
|
| 13 |
+
"mlp_checkpoint": false,
|
| 14 |
+
"mlp_connector_layers": 2,
|
| 15 |
+
"model_type": "locateanything",
|
| 16 |
+
"none_token_id": 4064,
|
| 17 |
+
"ref_end_token_id": 151673,
|
| 18 |
+
"ref_start_token_id": 151672,
|
| 19 |
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"template": null,
|
| 20 |
+
"text_config": {
|
| 21 |
+
"_attn_implementation_autoset": true,
|
| 22 |
+
"_name_or_path": "Qwen/Qwen2.5-3B-Instruct",
|
| 23 |
+
"architectures": [
|
| 24 |
+
"Qwen2ForCausalLM"
|
| 25 |
+
],
|
| 26 |
+
"attention_dropout": 0.0,
|
| 27 |
+
"block_size": 6,
|
| 28 |
+
"bos_token_id": 151643,
|
| 29 |
+
"causal_attn": false,
|
| 30 |
+
"eos_token_id": 151645,
|
| 31 |
+
"hidden_act": "silu",
|
| 32 |
+
"hidden_size": 2048,
|
| 33 |
+
"initializer_range": 0.02,
|
| 34 |
+
"intermediate_size": 11008,
|
| 35 |
+
"max_position_embeddings": 32768,
|
| 36 |
+
"max_window_layers": 70,
|
| 37 |
+
"model_type": "qwen2",
|
| 38 |
+
"null_token_id": 152678,
|
| 39 |
+
"num_attention_heads": 16,
|
| 40 |
+
"num_hidden_layers": 36,
|
| 41 |
+
"num_key_value_heads": 2,
|
| 42 |
+
"rms_norm_eps": 1e-06,
|
| 43 |
+
"rope_scaling": null,
|
| 44 |
+
"rope_theta": 1000000.0,
|
| 45 |
+
"sliding_window": 32768,
|
| 46 |
+
"switch_token_id": 152679,
|
| 47 |
+
"text_mask_token_id": 151676,
|
| 48 |
+
"tie_word_embeddings": true,
|
| 49 |
+
"torch_dtype": "bfloat16",
|
| 50 |
+
"use_cache": false,
|
| 51 |
+
"use_sliding_window": false,
|
| 52 |
+
"vocab_size": 152681
|
| 53 |
+
},
|
| 54 |
+
"transformers_version": null,
|
| 55 |
+
"use_backbone_lora": 0,
|
| 56 |
+
"use_llm_lora": 0,
|
| 57 |
+
"vision_config": {
|
| 58 |
+
"_attn_implementation_autoset": true,
|
| 59 |
+
"_name_or_path": "moonshotai/MoonViT-SO-400M",
|
| 60 |
+
"auto_map": {
|
| 61 |
+
"AutoConfig": "moonshotai/MoonViT-SO-400M--configuration_moonvit.MoonViTConfig",
|
| 62 |
+
"AutoModel": "moonshotai/MoonViT-SO-400M--modeling_moonvit.MoonVitPretrainedModel"
|
| 63 |
+
},
|
| 64 |
+
"hidden_size": 1152,
|
| 65 |
+
"init_pos_emb_height": 64,
|
| 66 |
+
"init_pos_emb_width": 64,
|
| 67 |
+
"intermediate_size": 4304,
|
| 68 |
+
"merge_kernel_size": [
|
| 69 |
+
2,
|
| 70 |
+
2
|
| 71 |
+
],
|
| 72 |
+
"model_type": "moonvit",
|
| 73 |
+
"num_attention_heads": 16,
|
| 74 |
+
"num_hidden_layers": 27,
|
| 75 |
+
"patch_size": 14,
|
| 76 |
+
"torch_dtype": "bfloat16"
|
| 77 |
+
}
|
| 78 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
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|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 151643,
|
| 4 |
+
"eos_token_id": 151645,
|
| 5 |
+
"transformers_version": "4.51.0"
|
| 6 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 5331918800
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model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 1704124922
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,776 @@
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| 761 |
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| 765 |
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|
| 766 |
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|
| 767 |
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|
| 769 |
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|
| 770 |
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|
| 771 |
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|
| 772 |
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|
| 773 |
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|
| 774 |
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|
| 775 |
+
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|
| 776 |
+
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,24 @@
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|
| 1 |
+
{
|
| 2 |
+
"auto_map": {
|
| 3 |
+
"AutoImageProcessor": "image_processing_locateanything.LocateAnythingImageProcessor",
|
| 4 |
+
"AutoProcessor": "processing_locateanything.LocateAnythingProcessor"
|
| 5 |
+
},
|
| 6 |
+
"image_mean": [
|
| 7 |
+
0.5,
|
| 8 |
+
0.5,
|
| 9 |
+
0.5
|
| 10 |
+
],
|
| 11 |
+
"image_processor_type": "LocateAnythingImageProcessor",
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.5,
|
| 14 |
+
0.5,
|
| 15 |
+
0.5
|
| 16 |
+
],
|
| 17 |
+
"in_token_limit": 25600,
|
| 18 |
+
"merge_kernel_size": [
|
| 19 |
+
2,
|
| 20 |
+
2
|
| 21 |
+
],
|
| 22 |
+
"patch_size": 14,
|
| 23 |
+
"processor_class": "LocateAnythingProcessor"
|
| 24 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,22 @@
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|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"image_mean": [
|
| 4 |
+
0.5,
|
| 5 |
+
0.5,
|
| 6 |
+
0.5
|
| 7 |
+
],
|
| 8 |
+
"image_processor_type": "LocateAnythingImageProcessor",
|
| 9 |
+
"image_std": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"in_token_limit": 25600,
|
| 15 |
+
"merge_kernel_size": [
|
| 16 |
+
2,
|
| 17 |
+
2
|
| 18 |
+
],
|
| 19 |
+
"patch_size": 14
|
| 20 |
+
},
|
| 21 |
+
"processor_class": "LocateAnythingProcessor"
|
| 22 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,1053 @@
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|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>",
|
| 16 |
+
"<IMG_CONTEXT>",
|
| 17 |
+
"<img>",
|
| 18 |
+
"</img>",
|
| 19 |
+
"<box>",
|
| 20 |
+
"</box>",
|
| 21 |
+
"<quad>",
|
| 22 |
+
"</quad>",
|
| 23 |
+
"<ref>",
|
| 24 |
+
"</ref>",
|
| 25 |
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|
| 26 |
+
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|
| 27 |
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| 28 |
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| 958 |
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"<930>",
|
| 959 |
+
"<931>",
|
| 960 |
+
"<932>",
|
| 961 |
+
"<933>",
|
| 962 |
+
"<934>",
|
| 963 |
+
"<935>",
|
| 964 |
+
"<936>",
|
| 965 |
+
"<937>",
|
| 966 |
+
"<938>",
|
| 967 |
+
"<939>",
|
| 968 |
+
"<940>",
|
| 969 |
+
"<941>",
|
| 970 |
+
"<942>",
|
| 971 |
+
"<943>",
|
| 972 |
+
"<944>",
|
| 973 |
+
"<945>",
|
| 974 |
+
"<946>",
|
| 975 |
+
"<947>",
|
| 976 |
+
"<948>",
|
| 977 |
+
"<949>",
|
| 978 |
+
"<950>",
|
| 979 |
+
"<951>",
|
| 980 |
+
"<952>",
|
| 981 |
+
"<953>",
|
| 982 |
+
"<954>",
|
| 983 |
+
"<955>",
|
| 984 |
+
"<956>",
|
| 985 |
+
"<957>",
|
| 986 |
+
"<958>",
|
| 987 |
+
"<959>",
|
| 988 |
+
"<960>",
|
| 989 |
+
"<961>",
|
| 990 |
+
"<962>",
|
| 991 |
+
"<963>",
|
| 992 |
+
"<964>",
|
| 993 |
+
"<965>",
|
| 994 |
+
"<966>",
|
| 995 |
+
"<967>",
|
| 996 |
+
"<968>",
|
| 997 |
+
"<969>",
|
| 998 |
+
"<970>",
|
| 999 |
+
"<971>",
|
| 1000 |
+
"<972>",
|
| 1001 |
+
"<973>",
|
| 1002 |
+
"<974>",
|
| 1003 |
+
"<975>",
|
| 1004 |
+
"<976>",
|
| 1005 |
+
"<977>",
|
| 1006 |
+
"<978>",
|
| 1007 |
+
"<979>",
|
| 1008 |
+
"<980>",
|
| 1009 |
+
"<981>",
|
| 1010 |
+
"<982>",
|
| 1011 |
+
"<983>",
|
| 1012 |
+
"<984>",
|
| 1013 |
+
"<985>",
|
| 1014 |
+
"<986>",
|
| 1015 |
+
"<987>",
|
| 1016 |
+
"<988>",
|
| 1017 |
+
"<989>",
|
| 1018 |
+
"<990>",
|
| 1019 |
+
"<991>",
|
| 1020 |
+
"<992>",
|
| 1021 |
+
"<993>",
|
| 1022 |
+
"<994>",
|
| 1023 |
+
"<995>",
|
| 1024 |
+
"<996>",
|
| 1025 |
+
"<997>",
|
| 1026 |
+
"<998>",
|
| 1027 |
+
"<999>",
|
| 1028 |
+
"<1000>",
|
| 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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|
|
|