chatgpt-web VS llamafile

Wow, this is almost as good as chatgpt-web [0], and it works offline and is free. Amazing.

In case anyone here hasn't used chatgpt-web, I recommend trying it out. With the new GPT-4 models you can chat for way cheaper than paying for ChatGPT Plus, and you can also switch back to the older (non-nerfed) GPT-4 models that can still actually code.

[0]: https://github.com/Niek/chatgpt-web

Came across this: https://github.com/Niek/chatgpt-web

I tried asking AutoGPT to do it, but it spins its wheels. It can't even seem to access the folder, and I'm not running it in a docker. So I've given up on trying to code it myself. https://niek.github.io/chatgpt-web/ is basically what I need, but with GPT4, since 3.5 is already free.

And if you wanna just try it out they have it up on https://niek.github.io/chatgpt-web/

Basically, with API, you pay per message. You can just enable it and try it out on a front-end like https://niek.github.io/chatgpt-web/ .

Looks great! I have something very similar:

https://github.com/Niek/chatgpt-web

I think the llamafile[0] system works the best. Binary works on the command line or launches a mini webserver. Llamafile offers builds of Mixtral-8x7B-Instruct, so presumably they may package this one up as well (potentially a quantized format).

You would have to confirm with someone deeper in the ecosystem, but I think you should be able to run this new model as is against a llamafile?

[0] https://github.com/Mozilla-Ocho/llamafile

Thermostats: https://www.sinopetech.com/en/products/thermostat/

I haven't tried running a local text-to-speech engine backed by an LLM to control Home Assistant. Maybe someone is working on this already?

TTS: https://github.com/SYSTRAN/faster-whisper

LLM: https://github.com/Mozilla-Ocho/llamafile/releases

LLM: https://huggingface.co/TheBloke/Nous-Hermes-2-Mixtral-8x7B-D...

It would take some tweaking to get the voice commands working correctly.

While I did not succeed in making the matmul code from https://github.com/Mozilla-Ocho/llamafile/blob/main/llamafil... work in isolation, I compared eigen, openblas, and mkl: https://gist.github.com/Dobiasd/e664c681c4a7933ef5d2df7caa87...

In this (very primitive!) benchmark, MKL was a bit better than eigen (~10%) on my machine (i5-6600).

Since the article https://justine.lol/matmul/ compared the new kernels with MLK, we can (by transitivity) compare the new kernels with Eigen this way, at least very roughly for this one use-case.

Yes, they're just ZIP files that also happen to be actually portable executables.

https://github.com/Mozilla-Ocho/llamafile?tab=readme-ov-file...

have you seen llamafile[0]?

[0] https://github.com/Mozilla-Ocho/llamafile

llama.cpp has integrated gemma support. So you can use llamafile for this. It is a standalone executable that is portable across most popular OSes.

https://github.com/Mozilla-Ocho/llamafile/releases

So, download the executable from the releases page under assets. You want either just main or just server. Don't get the huge ones with the model inlined in the file. The executable is about 30MB in size,

https://github.com/Mozilla-Ocho/llamafile/releases/download/...

The improvements in ease of use for locally hosting LLMs over the last few months have been amazing. I was ranting about how easy https://github.com/Mozilla-Ocho/llamafile is just a few hours ago [1]. Now I'm torn as to which one to use :)

1: Quite literally hours ago: https://euri.ca/blog/2024-llm-self-hosting-is-easy-now/