Image-Text-to-Text
MLX
Core ML
Safetensors
mobile-o
multimodal
unified-model
ios
on-device
mobile
edge-ai
Instructions to use Amshaker/Mobile-O-0.5B-iOS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Amshaker/Mobile-O-0.5B-iOS 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("Amshaker/Mobile-O-0.5B-iOS") config = load_config("Amshaker/Mobile-O-0.5B-iOS") # 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
Deploy everything on ANE instead of GPU, leading to significantly faster generation speed
Browse files- connector.mlpackage/Data/com.apple.CoreML/model.mlmodel +2 -2
- connector.mlpackage/Data/com.apple.CoreML/weights/weight.bin +1 -1
- connector.mlpackage/Manifest.json +3 -3
- llm/config.json +1 -1
- llm/model.safetensors +1 -1
- llm/preprocessor_config.json +28 -0
- scheduler_config.json +36 -0
- transformer_ane_p1_0.5.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- transformer_ane_p1_0.5.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- transformer_ane_p1_0.5.mlpackage/Manifest.json +18 -0
- transformer_ane_p1_0.5_s300.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- transformer_ane_p1_0.5_s300.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- transformer_ane_p1_0.5_s300.mlpackage/Manifest.json +18 -0
- transformer_ane_p2_0.5.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- transformer_ane_p2_0.5.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- transformer_ane_p2_0.5.mlpackage/Manifest.json +18 -0
- transformer_ane_p2_0.5_s300.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- transformer_ane_p2_0.5_s300.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- transformer_ane_p2_0.5_s300.mlpackage/Manifest.json +18 -0
- vae_ane_p1_0.5.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- vae_ane_p1_0.5.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- vae_ane_p1_0.5.mlpackage/Manifest.json +18 -0
- vae_ane_p2_0.5.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- vae_ane_p2_0.5.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- vae_ane_p2_0.5.mlpackage/Manifest.json +18 -0
- vision_encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel +2 -2
- vision_encoder.mlpackage/Manifest.json +8 -8
connector.mlpackage/Data/com.apple.CoreML/model.mlmodel
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connector.mlpackage/Manifest.json
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"description": "CoreML Model Weights",
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"name": "weights",
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"path": "com.apple.CoreML/weights"
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},
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"
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"author": "com.apple.CoreML",
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"description": "CoreML Model Specification",
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"path": "com.apple.CoreML/model.mlmodel"
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"author": "com.apple.CoreML",
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"description": "CoreML Model Specification",
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"name": "model.mlmodel",
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"path": "com.apple.CoreML/model.mlmodel"
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"rootModelIdentifier": "9C13F2DC-95DC-4BEA-8042-997F3663BEC3"
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llm/config.json
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"rms_norm_eps": 1e-06,
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"vocab_size": 151649,
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"max_position_embeddings": 32768,
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"rope_theta": 1000000
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"tie_word_embeddings": false,
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"mm_hidden_size": 3072,
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"mm_vision_tower": "mobileclip_l_1024",
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"rms_norm_eps": 1e-06,
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"vocab_size": 151649,
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"max_position_embeddings": 32768,
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"rope_theta": 1000000,
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"tie_word_embeddings": false,
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"mm_hidden_size": 3072,
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"mm_vision_tower": "mobileclip_l_1024",
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llm/model.safetensors
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llm/preprocessor_config.json
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{
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"crop_size": {
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"height": 1024,
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"width": 1024
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},
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"do_center_crop": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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scheduler_config.json
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{
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"_class_name": "CustomScheduler",
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"_diffusers_version": "0.32.0.dev0",
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"algorithm_type": "custom_v1",
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"beta_end": 0.02,
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"beta_schedule": "linear",
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"beta_start": 0.0001,
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"dynamic_thresholding_ratio": 0.995,
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| 9 |
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"euler_at_final": false,
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| 10 |
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"final_sigmas_type": "zero",
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| 11 |
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"flow_shift": 3.0,
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| 12 |
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"lambda_min_clipped": -1000000.0,
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| 13 |
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"lower_order_final": true,
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| 14 |
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"num_train_timesteps": 1000,
|
| 15 |
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"prediction_type": "flow_prediction",
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| 16 |
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"rescale_betas_zero_snr": false,
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| 17 |
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"sample_max_value": 1.0,
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"solver_order": 3,
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"solver_type": "multistep",
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"steps_offset": 0,
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"thresholding": false,
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"timestep_spacing": "uniform_tau",
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| 23 |
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"trained_betas": null,
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| 24 |
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"use_beta_sigmas": false,
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| 25 |
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"use_exponential_sigmas": false,
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| 26 |
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"use_flow_sigmas": true,
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| 27 |
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"use_karras_sigmas": false,
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| 28 |
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"use_lu_lambdas": false,
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"apply_flow_shift": false,
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"update_clamp_factor": 2.5,
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"sigma_max": 1.0,
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"sigma_min": 0.002,
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"karras_rho": 7.0,
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"use_heun_final_steps": 3
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|
transformer_ane_p1_0.5.mlpackage/Data/com.apple.CoreML/model.mlmodel
ADDED
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transformer_ane_p1_0.5.mlpackage/Manifest.json
ADDED
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| 6 |
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"description": "CoreML Model Specification",
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| 7 |
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"name": "model.mlmodel",
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| 8 |
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"path": "com.apple.CoreML/model.mlmodel"
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| 9 |
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},
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| 10 |
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"author": "com.apple.CoreML",
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"description": "CoreML Model Weights",
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| 13 |
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| 14 |
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transformer_ane_p1_0.5_s300.mlpackage/Data/com.apple.CoreML/model.mlmodel
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transformer_ane_p1_0.5_s300.mlpackage/Manifest.json
ADDED
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"name": "model.mlmodel",
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"author": "com.apple.CoreML",
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| 12 |
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"description": "CoreML Model Weights",
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| 13 |
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"name": "weights",
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| 14 |
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transformer_ane_p2_0.5.mlpackage/Data/com.apple.CoreML/model.mlmodel
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transformer_ane_p2_0.5_s300.mlpackage/Data/com.apple.CoreML/model.mlmodel
ADDED
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