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README.md

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+---
+license: apache-2.0
+base_model: qvac/VisionPsy-Nano-460M
+tags:
+- mlx
+- vlm
+- vision-language-model
+- apple-silicon
+- siglip2
+- smollm2
+language:
+- en
+- zh
+library_name: mlx
+pipeline_tag: image-text-to-text
+---
+
+# VisionPsy-Nano-460M-MLX
+
+MLX port of [**qvac/VisionPsy-Nano-460M**](https://huggingface.co/qvac/VisionPsy-Nano-460M), a compact 460M-parameter vision-language model from Tether AI Research, converted to run natively on Apple Silicon.
+
+- **Architecture:** SigLIP2-base-patch16-512 vision encoder + pixel-shuffle modality projector + SmolLM2-360M-Instruct decoder
+- **Parameters:** ~460M
+- **Precision:** bfloat16 (~1.0 GB on disk, down from 2.0 GB fp32)
+- **Runtime:** MLX on Apple Silicon (M-series)
+- **License:** Apache-2.0
+
+## Benchmarks (MLX bf16, M-series)
+
+Measured across 7 images x 5 prompts, 64 max new tokens, greedy decode:
+
+| Metric | Standard | Flash |
+|---|---|---|
+| Avg decode tok/s | 99 | 152 |
+| Median decode tok/s | 90 | 157 |
+| Avg peak GPU memory | 2.64 GB | 2.64 GB |
+| Load time | ~0.4 s | ~0.7 s |
+
+Per-prompt-type medians (Standard):
+
+| Prompt type | Median tok/s | Example |
+|---|---|---|
+| Describe (EN, 1 sentence) | 158.7 | "A smiling man in a white lab coat gestures with his right hand..." |
+| What text appears? | 90.3 | "OICOMELVANG" |
+| Count objects/people | 40.0 | "There are 3 people in the image." |
+| Main subject | 59.2 | "The main subject is a man wearing a white lab coat." |
+| Describe (ZH) | 130.4 | "他說：\"OICOMELVANG, 25158\"" |
+
+Full 70-run matrix (Standard + Flash) is at [github.com/KaedeTai/mlx-video/tree/visionpsy-mlx-port](https://github.com/KaedeTai/mlx-video/tree/visionpsy-mlx-port).
+
+## Usage
+
+This repo uses the mlx-vlm-style layout (`text_config` + `vision_config` top-level, `language_model.*` / `vision_tower.*` / `multi_modal_projector.*` tensor prefixes) so it slots cleanly into `mlx-vlm` once a `visionpsy_nano` handler lands there. Until then, load it via the MLX port bundled in **mlx-video** (branch `visionpsy-mlx-port`):
+
+```bash
+pip install mlx safetensors transformers pillow
+git clone -b visionpsy-mlx-port https://github.com/KaedeTai/mlx-video.git
+cd mlx-video
+```
+
+```python
+from huggingface_hub import snapshot_download
+from mlx_video.models.visionpsy_nano import load_visionpsy_nano
+from mlx_video.models.visionpsy_nano.processor import load_processor
+from PIL import Image
+
+# Snapshot from HF (or point at your local folder)
+path = snapshot_download("KaedeTai/VisionPsy-Nano-460M-MLX")
+
+model, cfg = load_visionpsy_nano(path)
+proc = load_processor(path, cfg=cfg)
+
+img = Image.open("photo.jpg").convert("RGB")
+batch = proc("Describe this image in one sentence.", image=img)
+
+tokens = list(model.generate(
+    batch["input_ids"],
+    pixel_values=batch["pixel_values"],
+    image_token_id=batch["image_token_id"],
+    max_new_tokens=64,
+    eos_token_id=proc.tokenizer.eos_token_id,
+))
+print(proc.decode(tokens, skip_special_tokens=True))
+```
+
+*Note:* the port's `load_visionpsy_nano` reads the repacked config via a compat shim; the original `_original_config` block is retained inside `config.json` for round-tripping.
+
+## What changed vs the original
+
+- **fp32 -> bf16.** Weights cast to bfloat16. Outputs verified byte-identical on greedy decode for both variants.
+- **Prefix rename.** Tensor names moved from `decoder.*` / `vision_encoder.*` / `MP.*` to `language_model.*` / `vision_tower.*` / `multi_modal_projector.*` to match mlx-vlm conventions.
+- **Config reshape.** Flat `lm_*` / `vit_*` keys refactored into nested `text_config` / `vision_config` blocks with standard field names (`hidden_size`, `num_hidden_layers`, etc.).
+- **Stale buffers dropped.** `decoder.rotary_embd.*` buffers removed — MLX's `nn.RoPE` computes frequencies on the fly.
+
+## Attribution
+
+- **Original model:** Tether AI Research / QVAC — [qvac/VisionPsy-Nano-460M](https://huggingface.co/qvac/VisionPsy-Nano-460M) (Apache-2.0)
+- **MLX port + weight repack:** [KaedeTai](https://huggingface.co/KaedeTai)
+- **Base components:** SigLIP2 (Google), SmolLM2 (Hugging Face)
+
+If you use these weights, please also cite the original QVAC release and the base model authors.
+
+## See also
+
+- Flash variant: [KaedeTai/VisionPsy-Nano-460M-Flash-MLX](https://huggingface.co/KaedeTai/VisionPsy-Nano-460M-Flash-MLX)
+- Original release blog + benchmarks: [qvac/VisionPsy-Nano-460M](https://huggingface.co/qvac/VisionPsy-Nano-460M)
+- MLX port source: [github.com/KaedeTai/mlx-video @ visionpsy-mlx-port](https://github.com/KaedeTai/mlx-video/tree/visionpsy-mlx-port)

chat_template.jinja

@@ -0,0 +1,4 @@
+{% for message in messages %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

config.json

@@ -0,0 +1,237 @@
+{
+  "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>",
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+      "r7c7": "<row_7_col_7>",
+      "r7c8": "<row_7_col_8>",
+      "r8c1": "<row_8_col_1>",
+      "r8c2": "<row_8_col_2>",
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+      "r8c7": "<row_8_col_7>",
+      "r8c8": "<row_8_col_8>"
+    },
+    "vlm_load_backbone_weights": false,
+    "torch_dtype": "float32"
+  }
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0cc93c1027a58aec26c4350115b5eca02a836aba06277fe700de854ff078572f
+size 1014772920

preprocessor_config.json

@@ -0,0 +1,84 @@
+{
+  "processor_class": "VisionPsyNanoProcessor",
+  "auto_map": {
+    "AutoProcessor": "processing_visionpsynano.VisionPsyNanoProcessor"
+  },
+  "is_flash": false,
+  "vit_img_size": 512,
+  "max_img_size": 2048,
+  "inference_max_img_size": null,
+  "resize_to_max_side_len": true,
+  "resize_min_side_len": null,
+  "mp_image_token_length": 64,
+  "lm_max_position_embeddings": 8192,
+  "lm_tokenizer": "HuggingFaceTB/SmolLM2-360M-Instruct",
+  "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 %}",
+  "vlm_extra_tokens": {
+    "image_token": "<|image|>",
+    "global_image_token": "<|global_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>",
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+    "r5c2": "<row_5_col_2>",
+    "r5c3": "<row_5_col_3>",
+    "r5c4": "<row_5_col_4>",
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+    "r5c6": "<row_5_col_6>",
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+    "r5c8": "<row_5_col_8>",
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+    "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>"
+  }
+}

processor_config.json

@@ -0,0 +1,6 @@
+{
+  "processor_class": "VisionPsyNanoProcessor",
+  "auto_map": {
+    "AutoProcessor": "processing_visionpsynano.VisionPsyNanoProcessor"
+  }
+}

tokenizer_config.json

@@ -0,0 +1,150 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<|im_start|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "global_image_token": "<|global_image|>",
+  "image_token": "<|image|>",
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 8192,
+  "model_specific_special_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>",
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+    "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>"
+  },
+  "pad_token": "<|im_end|>",
+  "processor_class": "VisionPsyNanoProcessor",
+  "r1c1": "<row_1_col_1>",
+  "r1c2": "<row_1_col_2>",
+  "r1c3": "<row_1_col_3>",
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+  "r8c7": "<row_8_col_7>",
+  "r8c8": "<row_8_col_8>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>",
+  "vocab_size": 49152
+}