ANEMLL
TEST ONLY, this model requires iPad Pro > 8GB of meomry (16GB)
ANEMLL (pronounced like "animal") is an open-source project focused on accelerating the porting of Large Language Models (LLMs) to tensor processors, starting with the Apple Neural Engine (ANE).
The goal is to provide a fully open-source pipeline from model conversion to inference for common LLM architectures running on ANE.
This enables seamless integration and on-device inference for low-power applications on edge devices, ensuring maximum privacy and security.
This is critical for autonomous applications, where models run directly on the device without requiring an internet connection.
License
ANEMLL is licensed under the MIT License.
The model is based on Meta's LLaMA 3.2 and may require a separate license.
This test model is exclusively for the Meta's LLaMA 3.2 1B (1024 context) model converted for CoreML, released before the official launch of the ANEMLL repository and minimal documentation. It is intended for early adopters only who requested an early release.
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