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Qwen3-Embedding-0.6B-CoreML-ANE
neuradex/Qwen3-Embedding-0.6B-CoreML-ANE
Qwen3-Embedding-0.6B-CoreML-ANE is a machine learning model from neuradex. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
CoreML model optimized for Apple Neural Engine. Fixed-shape profiles for maximum ANE throughput. Converted using tooktang/qwen3-ane-embed converter.
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Apr 14, 2026
- Updated
- Apr 14, 2026
- SHA
- 97d62317
Base models
Model card
From the Hugging Face model README
Qwen3-Embedding-0.6B CoreML (ANE-optimized)
CoreML model optimized for Apple Neural Engine. Fixed-shape profiles for maximum ANE throughput. Converted using tooktang/qwen3-ane-embed converter.
Performance (M1 Pro)
| Profile | Speed | Throughput | CPU/GPU usage |
|---|---|---|---|
| b1_s128 | 25ms | 40 items/sec | zero |
| b1_s512 | 140ms | 7 items/sec | zero |
Runs entirely on Apple Neural Engine — no CPU or GPU load.
Profiles
| Profile | Batch | Seq len | Use case |
|---|---|---|---|
| b1_s128 | 1 | 128 | Tags, short text |
| b1_s512 | 1 | 512 | Documents, episodes |
Files
compiled/b1_s128.mlmodelc— Pre-compiled, load directly with MLModelcompiled/b1_s512.mlmodelc— Pre-compiledpackages/b1_s128.mlpackage— Source package (for re-compilation)packages/b1_s512.mlpackage— Source packagetokenizer/— Qwen3 tokenizer files
Input/Output
- Inputs:
input_ids(int32),attention_mask(int32) — left-padded to profile seq_len - Output:
embedding(float32, 1024-dim, L2-normalized) - Pad token: 151643 (Qwen3 eos_token)
Usage
Left-pad input tokens to the profile seq_len. Pick the smallest profile that fits your input. The model handles last-token pooling and L2 normalization internally.
Attribution
ANE-optimized conversion based on tooktang/Qwen3-Embedding-0.6B-CoreML.
- License
- apache-2.0
- Created
- Apr 14, 2026
- Updated
- Apr 14, 2026