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PP-OCRv6-ExecuTorch

software-mansion

This repository hosts the **pp-ocrv6** models exported for the React Native ExecuTorch library as ExecuTorch `.pte` programs, ready to run on device. These files are published for the **ExecuTorch v1.4.1** runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them. To use them in React Native ExecuTorch, pass the model constant shipped in the library's model registry to the corresponding task pipeline. See the documentation.

Image captioning
Input Image→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
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Qwen2.5-ExecuTorch

software-mansion

This repository hosts the **qwen-2.5** models exported for the React Native ExecuTorch library as ExecuTorch `.pte` programs, ready to run on device. These files are published for the **ExecuTorch v1.4.1** runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them. To use them in React Native ExecuTorch, pass the model constant shipped in the library's model registry to the corresponding task pipeline. See the documentation.

Text generation
Input Text→ Output Text
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Qwen3-ExecuTorch

software-mansion

This repository hosts the **qwen-3** models exported for the React Native ExecuTorch library as ExecuTorch `.pte` programs, ready to run on device. These files are published for the **ExecuTorch v1.4.1** runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them. To use them in React Native ExecuTorch, pass the model constant shipped in the library's model registry to the corresponding task pipeline. See the documentation.

Text generation
Input Text→ Output Text
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This repository hosts the **kokoro** models exported for the React Native ExecuTorch library as ExecuTorch `.pte` programs, ready to run on device. These files are published for the **ExecuTorch v1.4.1** runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them. To use them in React Native ExecuTorch, pass the model constant shipped in the library's model registry to the corresponding task pipeline. See the documentation.

Speech synthesis
Input Text→ Output Audio
Price not verifiedCheck multimodal and channel pricing separately
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Source / docs ↗

This repository hosts the **whisper-tiny** models exported for the React Native ExecuTorch library as ExecuTorch `.pte` programs, ready to run on device. `xnnpack/whisper_tiny_xnnpack_int8.pte` is 8da8w (int8 dynamic activations, int8 per-channel weights). Greedy WER (CER for zh) against the fp32 file, LibriSpeech test-clean (150 clips) and FLEURS (80 per language): These files are published for the **ExecuTorch v1.4.1** runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them.

Speech recognition
Input Audio→ Output Text
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This repository hosts the **whisper-tiny.en** models exported for the React Native ExecuTorch library as ExecuTorch `.pte` programs, ready to run on device. `xnnpack/whisper_tiny_en_xnnpack_int8.pte` is 8da8w (int8 dynamic activations, int8 per-channel weights). Greedy WER on LibriSpeech test-clean (150 clips): fp32 4.64, int8 4.67. These files are published for the **ExecuTorch v1.4.1** runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them.

Speech recognition
Input Audio→ Output Text
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supertonic-ExecuTorch

software-mansion

This repository hosts the **supertonic** models exported for the React Native ExecuTorch library as ExecuTorch `.pte` programs, ready to run on device. `xnnpack/vector_estimator_xnnpack_int8.pte` and `xnnpack/vocoder_xnnpack_int8.pte` are 8da8w (int8 dynamic activations, int8 per-channel weights) on the Linear layers, with the ConvNeXt pointwise convs moved onto Linears. The int8 set reuses the fp32 duration predictor and text encoder. LibriSpeech test-clean texts, voice F1, 8 steps, WER of a whisper base.en round trip: A backend directory carrying a `NOTES.md` and no `.pte` was exported and not published. Its note records what went wrong.

Speech synthesis
Input Text→ Output Audio
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YOLO26-pose-ExecuTorch

software-mansion

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Category pending
Input Not verified→ Output Not verified
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Source / docs ↗
COST EXPLORER

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Cost analysis

Adjust monthly token usage to compare estimated API costs.

1 M = 1 million tokens · USD
Compares base text-token rates within the same channel

Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.

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Selection guide & FAQ
How should API prices be compared?+

Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

Do open weights mean free commercial use?+

Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.

Is the top-ranked model the best for me?+

Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.

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