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North-Micro-Vision-CoreAI

Image-Text-to-Text
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coreai-aimodel
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apple-silicon
on-device
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siglip2
cohere
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North-Micro-Vision -> Core AI: fp16 Qwen3-VL-shaped tower + int8lin Cohere decoder; suite 9/9, iPhone 17 Pro 24/24

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  1. .gitattributes +7 -0
  2. README.md +111 -0
  3. config.json +158 -0
  4. gpu-pipelined/north_micro_vision_instruct_decode_int8lin/metadata.json +35 -0
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  6. gpu-pipelined/north_micro_vision_instruct_decode_int8lin/north_micro_vision_instruct_decode_int8lin.aimodel/main.mlirb +3 -0
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  10. gpu-pipelined/north_micro_vision_instruct_decode_int8lin/tokenizer/tokenizer.json +3 -0
  11. gpu-pipelined/north_micro_vision_instruct_decode_int8lin/tokenizer/tokenizer_config.json +340 -0
  12. gpu-pipelined/north_micro_vision_instruct_decode_int8lin_textcore/metadata.json +30 -0
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  15. gpu-pipelined/north_micro_vision_instruct_decode_int8lin_textcore/north_micro_vision_instruct_decode_int8lin_textcore.aimodel/metadata.json +5 -0
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  17. gpu-pipelined/north_micro_vision_instruct_decode_int8lin_textcore/tokenizer/special_tokens_map.json +37 -0
  18. gpu-pipelined/north_micro_vision_instruct_decode_int8lin_textcore/tokenizer/tokenizer.json +3 -0
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  33. ios-h18p/north_micro_vision_instruct_vision_fp16/north_micro_vision_instruct_vision_fp16.h18p.aimodelc/main-h18p-delegates/MPSGraph/mpsExecutable.mpsgraphpackage/specialized_model_0.mpsgraph +3 -0
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  37. ios-h18p/north_micro_vision_instruct_vision_fp16/north_micro_vision_instruct_vision_fp16.h18p.aimodelc/stats.json +1 -0
.gitattributes CHANGED
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: CohereLabs/North-Micro-Vision-Instruct
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+ tags:
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+ - coreai
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+ - aimodel
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+ - apple-silicon
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+ - on-device
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+ - vision-language
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+ - siglip2
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+ - cohere
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+ language:
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+ - en
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+ - de
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+ - fr
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+ - es
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+ - it
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+ - pt
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+ - hi
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+ - ja
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+ - ko
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+ - zh
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+ - ar
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+ pipeline_tag: image-text-to-text
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+ ---
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+
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+ # North-Micro-Vision-Instruct — Apple Core AI (`.aimodel`)
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+
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+ **Cohere's 2.4B multilingual VLM converted to Apple's Core AI** (the Core ML successor announced
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+ at WWDC26), running on iOS 27 and macOS 27. On an iPhone 17 Pro it answers about an image at
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+ **18.2 tok/s and 24/24 tokens identical to the fp32 reference** — not "close", identical.
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+
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+ Two bundles, run in sequence: a **400M vision tower** (custom-trained from SigLIP2-SO400M, and
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+ structurally a Qwen3-VL visual encoder — deepstack mergers included) emitting `image_embeds
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+ [256, 2048]` + `deepstack_embeds [768, 2048]`, and a **2B Cohere decoder** with the image tokens
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+ spliced in as extension ids. Eleven languages, including Japanese. Apache-2.0.
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+
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+ > Requires iOS 27 / macOS 27 (Core AI ships with the OS). Conversion code, gates and knowledge
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+ > base: **[coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo)**.
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+
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+ ## Bundles
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+
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+ | path | size | measured | numerics |
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+ |---|---:|---|---|
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+ | `gpu-pipelined/north_micro_vision_instruct_vision_fp16` | 1.0 GB | **83.4 ms**/image (M4 Max) | `image_embeds` cos **0.999996** vs fp32 |
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+ | `gpu-pipelined/north_micro_vision_instruct_decode_int8lin` | 2.4 GB | — | suite **9/9 cases, 338/338 tokens** |
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+ | `gpu-pipelined/…_decode_int8lin_textcore` | 2.4 GB | **145.3 prompt / 118.6 decode tok/s** (M4 Max) | the same weights with no image inputs |
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+ | `ios-h18p/…_decode_int8lin` + `ios-h18p/…_vision_fp16` | 2.5 GB | **21.5 prefill / 18.2 decode tok/s** (iPhone 17 Pro) | nat 16/16 + **image oracle 24/24** |
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+
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+ M4 Max, macOS 27.0 (26A5378n), Xcode 27.0 (27A5218g), `coreai-torch 0.4.1`,
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+ `llm-benchmark -p 128 -g 256 -n 3`, `COREAI_CHUNK_THRESHOLD=1`. The Mac tok/s row is the text
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+ core because `llm-runner` cannot bind an image buffer. The iPhone rows are PipelinedBench,
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+ including a mandatory 1024-token generation (the iOS compiler miscompiles KV specializations at
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+ seq ≥ 2048 and a 256-token run cannot see it) — clean.
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+
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+ **int8 costs this model nothing measurable.** **int4 is not published**: 0 of 9 cases, with a
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+ lost sentence boundary and instruction boilerplate leaking in (*"…a blanket.**Answer: Cats.I
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+ apologize, but I cannot provide a detailed description of the image**"*) plus flat repetition.
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+ int4 tolerance is a property of the individual model — a sibling port at 3B took int4 for free
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+ and a 450M one cratered — so read the generations rather than the parameter count.
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+
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+ ## Run it
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+
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+ ```bash
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+ git clone https://github.com/apple/coreai-models # + the zoo's engine patches, see below
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+ swift build -c release --product llm-runner
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+
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+ COREAI_CHUNK_THRESHOLD=1 .build/release/llm-runner \
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+ --model gpu-pipelined/north_micro_vision_instruct_decode_int8lin_textcore \
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+ --prompt "The alphabet begins A, B, C," \
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+ --max-tokens 64 --sampling-strategy greedy \
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+ --inference-engine-variant coreai-pipelined --warmup off
74
+ ```
75
+
76
+ The `coreai-pipelined-static-inputs` patch (which binds `image_embeds`, `deepstack_embeds` and
77
+ the two rope-shift scalars) is in the zoo under `apps/`.
78
+
79
+ For the image path the host resizes to a 512×512 canvas with an **antialiased BICUBIC** filter,
80
+ normalizes `(x/255 − 0.5)/0.5`, and patchifies into 16×16 patches in **Qwen-VL order** —
81
+ block-major over 2×2 merge groups, and `[C][T][py][px]` inside each patch with the still frame
82
+ duplicated (`patch_dim` 1536). Then it runs the tower, binds both outputs, and rewrites the
83
+ prompt's `<image>` ids (255031) to `V + slot`. Reference implementation:
84
+ [`_smoke/northmv_preprocess.py`](https://github.com/john-rocky/coreai-model-zoo/blob/main/_smoke/northmv_preprocess.py).
85
+
86
+ Note the export bakes a square grid while the upstream processor is **native-resolution** (it
87
+ keeps a 640×480 image's own 30×40 patch grid), so non-square images are stretched.
88
+
89
+ ## Converting this yourself
90
+
91
+ The oracle needs **transformers git main**: the 5.15.0 release does not know `cohere_compass`
92
+ and raises on `AutoConfig`.
93
+
94
+ The decoder is where the work is, and each of these runs fine when done wrong: a **parallel
95
+ block** (one LayerNorm, attention and MLP summed into the residual), **Cohere LayerNorm** (the
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+ mean is subtracted, no bias), `SSSF × 7` layer types where the 7 full-attention layers have **no
97
+ positional encoding at all** while the 21 sliding ones carry interleaved M-RoPE in a 4096
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+ window, `logit_scale 0.25`, and a 262 144-entry embedding tied to the head.
99
+
100
+ The tower needed no work: it loads into the zoo's existing Qwen3-VL encoder with zero missing
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+ keys and matches every seam at cos 1.000000.
102
+
103
+ Everything is in
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+ [`conversion/export_northmv_pipelined.py`](https://github.com/john-rocky/coreai-model-zoo/blob/main/conversion/export_northmv_pipelined.py)
105
+ and [`knowledge/north-micro-vision-port.md`](https://github.com/john-rocky/coreai-model-zoo/blob/main/knowledge/north-micro-vision-port.md).
106
+
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+ ## License
108
+
109
+ Apache-2.0, carried from
110
+ [`CohereLabs/North-Micro-Vision-Instruct`](https://huggingface.co/CohereLabs/North-Micro-Vision-Instruct)
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+ (revision `373bda96ac70bf89f99f7048f420cf00dc07c149`). Not affiliated with Apple or Cohere.
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