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@@ -20,17 +20,17 @@ License
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  ANEMLL is licensed under the MIT License.
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  https://opensource.org/license/mit
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- The model is based on Meta’s LLaMA 3.2 and may require a separate license.
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- This test model is exclusively for the Meta's LLaMA 3.2 1B (1024 context) model converted for CoreML,
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  released before the official launch of the ANEMLL repository and minimal documentation.
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  It is intended for early adopters only who requested an early release.
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  Requirements
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- • macOS Sequoia with Apple Neural Engine and 16GB RAM
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  • CoreML Tools and HuggingFace Transformers libraries
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  • Python 3.9
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@@ -47,7 +47,7 @@ python chat.py
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  Ctr-D to exit, Ctr-C to interrupt inference.
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  alternative way to run:
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- python chat.py S123 -d /path/to/anemll-LLAMA32-1B-ctx1024 ctx=1024
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  The first time the model loads, macOS will take some time to place it on the device.
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  Subsequent loads will be instantaneous.
 
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  ANEMLL is licensed under the MIT License.
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  https://opensource.org/license/mit
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+ The model is based on Meta’s LLaMA 3.1 8B architecture and may require a separate license.
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+ This test model is exclusively for the DeepSeek R1 8B model converted for CoreML,
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  released before the official launch of the ANEMLL repository and minimal documentation.
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  It is intended for early adopters only who requested an early release.
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  Requirements
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+ • macOS Sequoia with Apple Neural Engine and 16GB RAM
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  • CoreML Tools and HuggingFace Transformers libraries
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  • Python 3.9
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  Ctr-D to exit, Ctr-C to interrupt inference.
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  alternative way to run:
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+ python chat.py Q123 -d /path/to/anemll-DeepSeek-8B-ctx1024 ctx=1024
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  The first time the model loads, macOS will take some time to place it on the device.
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  Subsequent loads will be instantaneous.