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A totally offline use of Whisper ASR and LLaMA-2 GPT Mannequin
These days, no person will likely be stunned by operating a deep studying mannequin within the cloud. However the state of affairs will be far more difficult within the edge or shopper machine world. There are a number of causes for that. First, using cloud APIs requires gadgets to at all times be on-line. This isn’t an issue for an online service however is usually a dealbreaker for the machine that must be practical with out Web entry. Second, cloud APIs value cash, and clients probably won’t be glad to pay yet one more subscription charge. Final however not least, after a number of years, the undertaking could also be completed, API endpoints will likely be shut down, and the costly {hardware} will flip right into a brick. Which is of course not pleasant for patrons, the ecosystem, and the surroundings. That’s why I’m satisfied that the end-user {hardware} ought to be absolutely practical offline, with out further prices or utilizing the web APIs (properly, it may be elective however not necessary).
On this article, I’ll present find out how to run a LLaMA GPT mannequin and automated speech recognition (ASR) on a Raspberry Pi. That can enable us to ask Raspberry Pi questions and get solutions. And as promised, all this can work absolutely offline.
Let’s get into it!
The code introduced on this article is meant to work on the Raspberry Pi. However a lot of the strategies (besides the “show” half) will even work on a Home windows, OSX, or Linux laptop computer. So, these readers who don’t have a Raspberry Pi can simply check the code with none issues.
{Hardware}
For this undertaking, I will likely be utilizing a Raspberry Pi 4. It’s a single-board laptop operating Linux; it’s small and requires solely 5V DC energy with out followers and lively cooling:
A more moderen 2023 mannequin, the Raspberry Pi 5, ought to be even higher; based on benchmarks, it’s virtually 2x quicker. However additionally it is virtually 50% costlier, and for our check, the mannequin 4 is sweet sufficient.
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