This is a five-year-old laptop with integrated graphics and no VRAM. I had no problem installing and running MLC LLM on my ThinkPad X1 Carbon (Gen 6) laptop, which runs Windows 11 on a Core i7-8550U CPU and an Intel UHD 620 GPU. But when he asked what was PLUGHITZ Live, a tech podcast company, he got a very odd answer saying that it's an electronic music concert series run by "DJ Plug." When he asked it about Tom's Hardware, it got a reasonable answer about what we do. When he asked it to choose the best processor for gaming, it gave a very vague, non-committal answer where it didn't mention any specific models and just said to go for more cores and higher clock speeds.
He asked the MLC LLM a few questions and the responses were mixed. He then tested with an iPhone 12 Pro Max, which also has 6GB of RAM, and found that it also worked. However, he said that the app dominated the phone, using all of its resources and slowing other apps down. He had to try a couple of times to get the install to work, but once installed, the app itself worked without crashing. Later I asked my friend, Scott Ertz of PLUGHITZ Live, to try installing MLC LLM on his iPhone 14 Pro Max, which is more powerful than the iPhone 11 and has 6GB of RAM instead of 4GB. However, on launch, the app crashed after showing the message “ Initialize…” every time he ran it. Freedman installed the MLC LLM test app on his iPhone 11 Pro Max, a 3GB download. It's supposed to work on any iPhone, iPad or iPod Touch that runs iOS 13 or higher, but in our experience, it requires one of the more powerful Apple devices with plenty of RAM. You can also compile it yourself from the source code. While anyone can install the PC versions, the iOS version requires you to use TestFlight, Apple’s developer system, on your device and there’s a limit of 9,000 iOS users who can install the test app at one time. Installing and Running MLC LLM on an iPhone Your data stays local so your privacy is intact, you don’t need Internet access to use it and you might have more control over the output. There are many reasons why having a local chatbot would be preferable to using a cloud-hosted solution such as ChatGPT.
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