Image-Text-to-Text
MLX
Safetensors
English
Chinese
visionpsy_nano
vlm
vision-language-model
apple-silicon
siglip2
smollm2
conversational
Instructions to use KaedeTai/VisionPsy-Nano-460M-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use KaedeTai/VisionPsy-Nano-460M-MLX 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("KaedeTai/VisionPsy-Nano-460M-MLX") config = load_config("KaedeTai/VisionPsy-Nano-460M-MLX") # 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
| { | |
| "model_type": "visionpsy_nano", | |
| "architectures": [ | |
| "VisionPsyNanoForConditionalGeneration" | |
| ], | |
| "image_token_id": null, | |
| "image_token_index": null, | |
| "pad_token_id": null, | |
| "eos_token_id": null, | |
| "torch_dtype": "bfloat16", | |
| "original_hf_repo": "qvac/VisionPsy-Nano-460M", | |
| "is_flash": false, | |
| "mp_image_token_length": 64, | |
| "mp_pixel_shuffle_factor": 4, | |
| "vlm_extra_tokens": { | |
| "global_image_token": "<|global_image|>", | |
| "image_token": "<|image|>", | |
| "r1c1": "<row_1_col_1>", | |
| "r1c2": "<row_1_col_2>", | |
| "r1c3": "<row_1_col_3>", | |
| "r1c4": "<row_1_col_4>", | |
| "r1c5": "<row_1_col_5>", | |
| "r1c6": "<row_1_col_6>", | |
| "r1c7": "<row_1_col_7>", | |
| "r1c8": "<row_1_col_8>", | |
| "r2c1": "<row_2_col_1>", | |
| "r2c2": "<row_2_col_2>", | |
| "r2c3": "<row_2_col_3>", | |
| "r2c4": "<row_2_col_4>", | |
| "r2c5": "<row_2_col_5>", | |
| "r2c6": "<row_2_col_6>", | |
| "r2c7": "<row_2_col_7>", | |
| "r2c8": "<row_2_col_8>", | |
| "r3c1": "<row_3_col_1>", | |
| "r3c2": "<row_3_col_2>", | |
| "r3c3": "<row_3_col_3>", | |
| "r3c4": "<row_3_col_4>", | |
| "r3c5": "<row_3_col_5>", | |
| "r3c6": "<row_3_col_6>", | |
| "r3c7": "<row_3_col_7>", | |
| "r3c8": "<row_3_col_8>", | |
| "r4c1": "<row_4_col_1>", | |
| "r4c2": "<row_4_col_2>", | |
| "r4c3": "<row_4_col_3>", | |
| "r4c4": "<row_4_col_4>", | |
| "r4c5": "<row_4_col_5>", | |
| "r4c6": "<row_4_col_6>", | |
| "r4c7": "<row_4_col_7>", | |
| "r4c8": "<row_4_col_8>", | |
| "r5c1": "<row_5_col_1>", | |
| "r5c2": "<row_5_col_2>", | |
| "r5c3": "<row_5_col_3>", | |
| "r5c4": "<row_5_col_4>", | |
| "r5c5": "<row_5_col_5>", | |
| "r5c6": "<row_5_col_6>", | |
| "r5c7": "<row_5_col_7>", | |
| "r5c8": "<row_5_col_8>", | |
| "r6c1": "<row_6_col_1>", | |
| "r6c2": "<row_6_col_2>", | |
| "r6c3": "<row_6_col_3>", | |
| "r6c4": "<row_6_col_4>", | |
| "r6c5": "<row_6_col_5>", | |
| "r6c6": "<row_6_col_6>", | |
| "r6c7": "<row_6_col_7>", | |
| "r6c8": "<row_6_col_8>", | |
| "r7c1": "<row_7_col_1>", | |
| "r7c2": "<row_7_col_2>", | |
| "r7c3": "<row_7_col_3>", | |
| "r7c4": "<row_7_col_4>", | |
| "r7c5": "<row_7_col_5>", | |
| "r7c6": "<row_7_col_6>", | |
| "r7c7": "<row_7_col_7>", | |
| "r7c8": "<row_7_col_8>", | |
| "r8c1": "<row_8_col_1>", | |
| "r8c2": "<row_8_col_2>", | |
| "r8c3": "<row_8_col_3>", | |
| "r8c4": "<row_8_col_4>", | |
| "r8c5": "<row_8_col_5>", | |
| "r8c6": "<row_8_col_6>", | |
| "r8c7": "<row_8_col_7>", | |
| "r8c8": "<row_8_col_8>" | |
| }, | |
| "text_config": { | |
| "model_type": "smollm2", | |
| "hidden_size": 960, | |
| "intermediate_size": 2560, | |
| "num_hidden_layers": 32, | |
| "num_attention_heads": 15, | |
| "num_key_value_heads": 5, | |
| "max_position_embeddings": 8192, | |
| "rope_theta": 100000, | |
| "rms_norm_eps": 1e-05, | |
| "tie_word_embeddings": true, | |
| "vocab_size": 49218, | |
| "base_vocab_size": 49152, | |
| "attention_scaling": 1.0, | |
| "hf_backbone": "HuggingFaceTB/SmolLM2-360M-Instruct" | |
| }, | |
| "vision_config": { | |
| "model_type": "siglip2_vision_model", | |
| "hidden_size": 768, | |
| "intermediate_size": 3072, | |
| "num_hidden_layers": 12, | |
| "num_attention_heads": 12, | |
| "image_size": 512, | |
| "patch_size": 16, | |
| "layer_norm_eps": 1e-06, | |
| "cls_flag": false, | |
| "max_img_size": 2048, | |
| "hf_backbone": "google/siglip2-base-patch16-512" | |
| }, | |
| "_original_config": { | |
| "architectures": [ | |
| "VisionPsyNanoForConditionalGeneration" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_visionpsynano.VisionPsyNanoConfig", | |
| "AutoModel": "modeling_visionpsynano.VisionPsyNanoForConditionalGeneration", | |
| "AutoModelForImageTextToText": "modeling_visionpsynano.VisionPsyNanoForConditionalGeneration", | |
| "AutoProcessor": "processing_visionpsynano.VisionPsyNanoProcessor" | |
| }, | |
| "compile_inference": true, | |
| "compile_inference_mode": "default", | |
| "cuda_graphs_cache_quantum": 128, | |
| "eos_check_interval": 16, | |
| "extra_token_amount": 66, | |
| "hf_repo_name": "qvac/VisionPsy-Nano-460M", | |
| "inference_max_img_size": null, | |
| "is_flash": false, | |
| "lm_attn_scaling": 1.0, | |
| "lm_base_vocab_size": 49152, | |
| "lm_chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", | |
| "lm_dropout": 0.0, | |
| "lm_hidden_dim": 960, | |
| "lm_inter_dim": 2560, | |
| "lm_max_length": 8192, | |
| "lm_max_position_embeddings": 8192, | |
| "lm_model_type": "HuggingFaceTB/SmolLM2-360M-Instruct", | |
| "lm_n_blocks": 32, | |
| "lm_n_heads": 15, | |
| "lm_n_kv_heads": 5, | |
| "lm_re_base": 100000, | |
| "lm_rms_eps": 1e-05, | |
| "lm_tie_weights": true, | |
| "lm_tokenizer": "HuggingFaceTB/SmolLM2-360M-Instruct", | |
| "lm_use_tokens": false, | |
| "lm_vocab_size": 49218, | |
| "max_img_size": 2048, | |
| "model_type": "visionpsynano", | |
| "mp_image_token_length": 64, | |
| "mp_pixel_shuffle_factor": 4, | |
| "resize_min_side_len": null, | |
| "resize_to_max_side_len": true, | |
| "transformers_version": "5.14.1", | |
| "vit_cls_flag": false, | |
| "vit_dropout": 0.0, | |
| "vit_hidden_dim": 768, | |
| "vit_img_size": 512, | |
| "vit_inter_dim": 3072, | |
| "vit_ln_eps": 1e-06, | |
| "vit_model_type": "google/siglip2-base-patch16-512", | |
| "vit_n_blocks": 12, | |
| "vit_n_heads": 12, | |
| "vit_patch_size": 16, | |
| "vlm_checkpoint_path": null, | |
| "vlm_extra_tokens": { | |
| "global_image_token": "<|global_image|>", | |
| "image_token": "<|image|>", | |
| "r1c1": "<row_1_col_1>", | |
| "r1c2": "<row_1_col_2>", | |
| "r1c3": "<row_1_col_3>", | |
| "r1c4": "<row_1_col_4>", | |
| "r1c5": "<row_1_col_5>", | |
| "r1c6": "<row_1_col_6>", | |
| "r1c7": "<row_1_col_7>", | |
| "r1c8": "<row_1_col_8>", | |
| "r2c1": "<row_2_col_1>", | |
| "r2c2": "<row_2_col_2>", | |
| "r2c3": "<row_2_col_3>", | |
| "r2c4": "<row_2_col_4>", | |
| "r2c5": "<row_2_col_5>", | |
| "r2c6": "<row_2_col_6>", | |
| "r2c7": "<row_2_col_7>", | |
| "r2c8": "<row_2_col_8>", | |
| "r3c1": "<row_3_col_1>", | |
| "r3c2": "<row_3_col_2>", | |
| "r3c3": "<row_3_col_3>", | |
| "r3c4": "<row_3_col_4>", | |
| "r3c5": "<row_3_col_5>", | |
| "r3c6": "<row_3_col_6>", | |
| "r3c7": "<row_3_col_7>", | |
| "r3c8": "<row_3_col_8>", | |
| "r4c1": "<row_4_col_1>", | |
| "r4c2": "<row_4_col_2>", | |
| "r4c3": "<row_4_col_3>", | |
| "r4c4": "<row_4_col_4>", | |
| "r4c5": "<row_4_col_5>", | |
| "r4c6": "<row_4_col_6>", | |
| "r4c7": "<row_4_col_7>", | |
| "r4c8": "<row_4_col_8>", | |
| "r5c1": "<row_5_col_1>", | |
| "r5c2": "<row_5_col_2>", | |
| "r5c3": "<row_5_col_3>", | |
| "r5c4": "<row_5_col_4>", | |
| "r5c5": "<row_5_col_5>", | |
| "r5c6": "<row_5_col_6>", | |
| "r5c7": "<row_5_col_7>", | |
| "r5c8": "<row_5_col_8>", | |
| "r6c1": "<row_6_col_1>", | |
| "r6c2": "<row_6_col_2>", | |
| "r6c3": "<row_6_col_3>", | |
| "r6c4": "<row_6_col_4>", | |
| "r6c5": "<row_6_col_5>", | |
| "r6c6": "<row_6_col_6>", | |
| "r6c7": "<row_6_col_7>", | |
| "r6c8": "<row_6_col_8>", | |
| "r7c1": "<row_7_col_1>", | |
| "r7c2": "<row_7_col_2>", | |
| "r7c3": "<row_7_col_3>", | |
| "r7c4": "<row_7_col_4>", | |
| "r7c5": "<row_7_col_5>", | |
| "r7c6": "<row_7_col_6>", | |
| "r7c7": "<row_7_col_7>", | |
| "r7c8": "<row_7_col_8>", | |
| "r8c1": "<row_8_col_1>", | |
| "r8c2": "<row_8_col_2>", | |
| "r8c3": "<row_8_col_3>", | |
| "r8c4": "<row_8_col_4>", | |
| "r8c5": "<row_8_col_5>", | |
| "r8c6": "<row_8_col_6>", | |
| "r8c7": "<row_8_col_7>", | |
| "r8c8": "<row_8_col_8>" | |
| }, | |
| "vlm_load_backbone_weights": false, | |
| "torch_dtype": "float32" | |
| } | |
| } |