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  1. Optimization Guidelines for the Appl...
    1
    Comprehensive Optimization Guidelines for the Apple Neural Engine (ANE)
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    Tensor Considerations:
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    Shapes: Utilize tensor shapes that are powers of 2 (e.g., 2, 4, 8, 16) to enhance memory allocation and access.
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    Sizes: Keep tensor sizes small, aiming for multiples of 16 (e.g., 16, 32, 48, 64) to optimize memory usage.
  2. swift-transformers-test Public

    Python 2

  3. swift-coreml-transformers Public

    Forked from huggingface/swift-coreml-transformers

    Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!

    Swift 1

  4. swift-transformers Public

    Forked from huggingface/swift-transformers

    Swift Package to implement a transformers-like API in Swift

    Swift

  5. OpenELM ANE Principles Implementatio...
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    Made from my [ANE Optimizer Custom GPT](https://chatgpt.com/g/g-FzuQl8N6m-ane-optimizer)
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    [Chat Link](https://chatgpt.com/share/9f52faf7-717f-41a6-aad2-86550a7ea078)
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    The code you provided appears to implement the `OpenELM` model, a transformer-based model architecture optimized for language modeling tasks. Below is an overview of its components and functionalities:
  6. ANE-Principles-In-recurrent-drafting.md
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    Made from my [ANE-Optimizer Custom GPT](https://chatgpt.com/g/g-FzuQl8N6m-ane-optimizer).
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    [Chat Link](https://chatgpt.com/share/79fa6ae8-f886-470c-9966-0141c48d1ac5)
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    The provided code implements several Apple Neural Engine (ANE) principles to optimize the performance of a language model, specifically the Llama model. Here's a detailed breakdown of the principles applied:

102 contributions in the last year

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March 2025

8 contributions in private repositories Mar 13
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