AFM Learning Paths
AFM Learning Paths provide step-by-step instructions on how to deploy AFM models on various platforms. These learning paths provide insight on the model, serving libraries, and the hardware they're run on.
Select any of the paths below to start your journey of running AI efficiently, securely, and cost effectively:
Deploy Arcee AFM-4.5B on Arm-based Google Cloud Axion with Llama.cpp
This Learning Path is for developers and ML engineers who want to deploy Arcee's AFM-4.5B small language model on Google Cloud Axion instances using Llama.cpp.
Deploy Arcee AFM-4.5B on Arm-based AWS Graviton4 with Llama.cpp
This Learning Path is for developers and ML engineers who want to deploy Arcee's AFM-4.5B small language model on AWS Graviton4 instances using Llama.cpp.
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