Start tech review on Litespark-Inference Learning Path

Author: jasonrandrews

content/learning-paths/laptops-and-desktops/litespark-inference/_index.md

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 title: Accelerate LLM inference on Arm CPUs with Litespark-Inference
 
+draft: true
+cascade:
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 description: Learn how to run BitNet-2B ternary LLMs fast on Arm CPUs with Litespark-Inference - no GPU, no PyTorch - and benchmark it against PyTorch for memory, speed, and energy.
 
 minutes_to_complete: 25
 
-who_is_this_for: >
+who_is_this_for: 
     This is an introductory topic for developers who want to run a
     large language model on CPU - no GPU, no PyTorch, no cloud account.
     If you can `pip install` a package, you can run Litespark-Inference.