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Co-Authored-By: fria <[email protected]> Co-Authored-By: Triple T <[email protected]> Signed-off-by: redoomed1 <[email protected]>
privacyguides · Nov 17, 2024 · 496ffcf · 496ffcf
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@@ -23,7 +23,7 @@ Alternatively, you can run AI models locally so that your data never leaves your
 
 ## Hardware for Local AI Models
 
-Local models are also fairly accessible. It's possible to run smaller models at lower speeds on as little as 8GB of RAM. Using more powerful hardware such as a dedicated GPU with sufficient VRAM or a modern system with fast LPDDR5X memory will offer the best experience.
+Local models are also fairly accessible. It's possible to run smaller models at lower speeds on as little as 8GB of RAM. Using more powerful hardware such as a dedicated GPU with sufficient VRAM or a modern system with fast LPDDR5X memory offers the best experience.
 
 LLMs can usually be differentiated by the number of parameters, which can vary between 1.3B to 405B for open-source models available for end users. For example, models below 6.7B parameters are only good for basic tasks like text summaries, while models between 7B and 13B are a great compromise between quality and speed. Models with advanced reasoning capabilities are generally around 70B.