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1. Optimization Guidelines for the Appl... Optimization Guidelines for the Apple Neural Engine (ANE)

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   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 swift-transformers-test Public

   Python 2

3. swift-coreml-transformers 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 swift-transformers Public

   Forked from huggingface/swift-transformers

   Swift Package to implement a transformers-like API in Swift

   Swift

5. OpenELM ANE Principles Implementatio... OpenELM ANE Principles Implementations.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/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 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: