Update index.md (#689)

Signed-off-by: Andriy Mulyar <andriy.mulyar@gmail.com>
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Andriy Mulyar 2023-05-22 17:29:01 -07:00 committed by GitHub
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@ -24,8 +24,11 @@ Most people do not have such a powerful computer or access to GPU hardware. By r
GPT4All models can run on your laptop using only 4-8GB of RAM enabling their wide-spread utility.
The GPT4All software ecosystem is currently compatible with three variants of the Transformer neural network architecture:
- LLaMa
- GPT-J
- MPT
Any model trained with one of these architectures can be quantized and run locally with all GPT4All bindings and in the