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GGML – AI at the Edge

ggml.ai

151–160 of 246 posts

Re: GGML – AI at the Edge

#151
post #143

Earlier quoted context omitted.

Another important detail about the ejections that I think is particularly classy is that the people he ejected are broadly considered to have world-class technical skills. In other words, he was very explicitly prioritizing collaborative potential > technical skill. Maybe a future BDFL[1]! [1] https://en.wikipedia.org/wiki/Benevolent_dictator_for_life

Gerganov was prioritizing collaboration with 4chan who raided his GitHub to demand a change written by a transgender woman be reverted. There was so much hate speech and immaturity thrown around (words like tranny troon cucking muh model) that it's a real embarrassment (to those of us deeply want to see local models succeed) that one of the smartest guys working on the problem was taken in by all that. You can't run…

I didn't want to not reply but I also didn't want to be swept into a potentially fraught internet argument. So, I tried to edit my comment as a middle ground, but it looks like I can't, I guess there must be a timeout. If I could edit it, I'd add the following:

"I should point out that I wasn't personally involved, haven't looked into it in detail, and that there are many different perspectives that should be considered."

Re: GGML – AI at the Edge

#153

Just today, I finished a blog post (also my latest submission, felt like could be useful to some) about how to get something like this working in a bundle of something to run models, as well as a web UI for more easy interaction - in my case that was koboldcpp, which can run GGML, both on the CPU (with OpenBLAS) and on the GPU (with CLBlast). Thanks to Hugging Face, getting Metharme, WizardLM or other models is also…

What do you mean by commodity hardware? Single server single CPU socket x86/ARM boxes? Anything that does not have a GPU?

[deleted]

Re: GGML – AI at the Edge

#157

Earlier quoted context omitted.

Not disagreeing with your points, but saying "ClosedAI" is about as clever as writing M$ for Microsoft back in the day, which is to say not very.

M$ is a silly way to call Microsoft greedy. ClosedAI is somewhat better because OpenAI's very name is a bald-faced lie, and they should be called on it. Are there more elegant ways to do that? Sure, but every time I see Altman in the news crying crocodile tears about the "dangers" of open anything I think we need all the forms of opposition we can find.

It is a colloquial spelling and they earned it, a long time ago.

Re: GGML – AI at the Edge

#158
post #143

Earlier quoted context omitted.

Another important detail about the ejections that I think is particularly classy is that the people he ejected are broadly considered to have world-class technical skills. In other words, he was very explicitly prioritizing collaborative potential > technical skill. Maybe a future BDFL[1]! [1] https://en.wikipedia.org/wiki/Benevolent_dictator_for_life

Gerganov was prioritizing collaboration with 4chan who raided his GitHub to demand a change written by a transgender woman be reverted. There was so much hate speech and immaturity thrown around (words like tranny troon cucking muh model) that it's a real embarrassment (to those of us deeply want to see local models succeed) that one of the smartest guys working on the problem was taken in by all that. You can't run…

Really curious why you tried to rename the file format magic string to have your initials? Going from GGML (see Title of this post) to GGJT with JT being Justine Tunney? Seems quite unnecessary and bound to have rubbed a lot of people the wrong way.

Here is the official commit undoing the change:

https://github.com/ggerganov/llama.cpp/pull/711/files#diff-7...

Re: GGML – AI at the Edge

#159

Earlier quoted context omitted.

The model I have is q4_0 I think that's 4 bit quantized I'm running in Windows using koboldcpp, maybe it's faster in Linux?

I am running linux with cublast offload, and I am using the new 3 bit quant that was just pulled in a day or two ago.

Thanks! I'll have to try the 3bit to see if that helps

Re: GGML – AI at the Edge

#160

Earlier quoted context omitted.

>> run LLaMA 30B at almost 3 tokens/s Please tell me your config! I have an i9-10900 with 32GB of ram that only gets .7 tokens/s on a 30B model

I'n on a Ryzen 4900HS laptop with a RTX 2060. Like I said, very modest

Are you offloading layers to the RTX2060?
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