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Forget ChatGPT: why researchers now run small AIs on their laptops

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Re: Forget ChatGPT: why researchers now run small AIs on their laptops

#271

For anyone who hasn't tried local models because they think it's too complicated or their computer can't handle it, download a single llamafile and try it out in just moments. https://future.mozilla.org/builders/news_insights/introducin... https://github.com/Mozilla-Ocho/llamafile They even have whisperfiles now, which is the same thing but for whisper.cpp, aka real-time voice transcription. You can also take this a…

Not only are they the only future worth living in, incentives are aligned with client-side AI. For governments and government contractors, plumbing confidential information through a network isn't an option, let alone spewing it across the internet. It's a non-starter, regardless of the productivity bumps stuff like Copilot can provide. The only solution is to put AI compute on a cleared individual's work computer.

> plumbing confidential information through a network isn't an option

So do you think government doesn't use networks?

Re: Forget ChatGPT: why researchers now run small AIs on their laptops

#272

For anyone who hasn't tried local models because they think it's too complicated or their computer can't handle it, download a single llamafile and try it out in just moments. https://future.mozilla.org/builders/news_insights/introducin... https://github.com/Mozilla-Ocho/llamafile They even have whisperfiles now, which is the same thing but for whisper.cpp, aka real-time voice transcription. You can also take this a…

How do we rate whether the smaller models are any good? How many questions do we need to ask it to know that it can be trusted and we didn't waste our time on it?

You should never completely trust any LLM. They all get things wrong, make things up, and have blind spots. They're any good if they help you for some of your particular uses (but may still fail badly for other uses).

Re: Forget ChatGPT: why researchers now run small AIs on their laptops

#273

Earlier quoted context omitted.

If you're gonna go with a VS code extension and you're aiming for privacy, then I would at least recommend using the open source fork VS Codium. https://vscodium.com/

It is true that VS Code has some non-optional telemetry, and if VS Codium works for people, that is great. However, the telemetry of VSCode is non-personal metrics, and some of the most popular extensions are only available with VSCode, not with Codium.

> However, the telemetry of VSCode is non-personal metrics,

We know from the body of work in deobfuscation that there's no such thing as "strictly anonymous metrics".

Re: Forget ChatGPT: why researchers now run small AIs on their laptops

#274

For anyone who hasn't tried local models because they think it's too complicated or their computer can't handle it, download a single llamafile and try it out in just moments. https://future.mozilla.org/builders/news_insights/introducin... https://github.com/Mozilla-Ocho/llamafile They even have whisperfiles now, which is the same thing but for whisper.cpp, aka real-time voice transcription. You can also take this a…

I just tried now. Super easy indeed but slow to the point it's not usable on my PC

You need an RTX 4090 if you want enough speed

Re: Forget ChatGPT: why researchers now run small AIs on their laptops

#275
post #194

For anyone who hasn't tried local models because they think it's too complicated or their computer can't handle it, download a single llamafile and try it out in just moments. https://future.mozilla.org/builders/news_insights/introducin... https://github.com/Mozilla-Ocho/llamafile They even have whisperfiles now, which is the same thing but for whisper.cpp, aka real-time voice transcription. You can also take this a…

Well this was my experience... User: Hey, how are you? Llama: [object Object] It's funny but I don't think I did anything wrong?

Often you'll find there's '-chat-' and '-instruct-' variants of an LLM available.

Trying to chat to an INSTRUCT model will be disappointing, much as you describe.

Re: Forget ChatGPT: why researchers now run small AIs on their laptops

#277
post #140

Earlier quoted context omitted.

Zed has also support for ollama, but all the local models I tried do not really work so well to things like "write docs for this method"... Also local editor autocomplete in the style of github copilot would be great, without needing to use proprietary Microsoft tooling...

There's a lot of plugins/IDEs for assistant style LLMs, but the only TAB style autocompletion ones I know of are either proprietary (Github Copilot), or you need to get an API key (Codestral). If anyone knows of a local autocomplete model I'd love to hear about it. The Continue extension (Jetbrains, VSCodium) lets you set up assistant and autocompletion independently with different API keys.

https://tabby.tabbyml.com/

https://sourcegraph.com/cody

Re: Forget ChatGPT: why researchers now run small AIs on their laptops

#278
post #3

Next year, devices equipped with AMD's Strix Halo APU will be available, capable of using ~96GB of VRAM across 4 relatively fast channels from a total of 128GB unified memory, along with a 50 TOPS NPU. This could partially serve as an alternative to the MacBook Pro models with M2/M3/M4 chips, featuring 128GB or 196GB unified memory. - https://videocardz.com/newz/amd-ryzen-ai-max-395-to-feature-...

It will have around 250GB/s of bandwidth which makes it nearly unusable for 70b models. So the high amount of RAM doesn’t help with large models.

Could work for MoEs though

Re: Forget ChatGPT: why researchers now run small AIs on their laptops

#279

I'm interested in running locally, but I haven't found consistent advice on hardware specs for optimal performance. I would like to build a server with the best GPU and tons of RAM to run and experiment with these models.

Either get a Mac with loads of mem or build a rig with a 3090 or three

Re: Forget ChatGPT: why researchers now run small AIs on their laptops

#280
post #186
post #7

I like self hosting random stuff on docker. Ollama has been a great addition. I know it's not, but it feels on par with ChatGPT. It works perfectly on my 4090, but I've also seen it work perfectly on my friend's M3 laptop. It feels like an excellent alternative for when you don't need the heavy weights, but want something bespoke and private. I've integrated it with my Obsidian notes for 1) note generation 2) fuzzy s…

Ollama is not a model, it is the sofware to run models.

Not even that - wrapper for the software that runs the model
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