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?
> The model I have is q4_0 I think that's 4 bit quantized That's correct, yeah. Q4_0 should be the smallest and fastest quantized model. > I'm running in Windows using koboldcpp, maybe it's faster in Linux? Possibly. You could try using WSL to test—I think both WSL1 and WSL2 are faster than Windows (but WSL1 should be faster than WSL2).
GGML – AI at the Edge
161–170 of 246 posts
Re: GGML – AI at the Edge
#162Re: GGML – AI at the Edge
#163Earlier quoted context omitted.
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
#164Earlier quoted context omitted.
Maybe I'm wrong, but I don't think you want it fine-tuned on your data. Pretty sure you might be looking for this: https://github.com/SamurAIGPT/privateGPT Fine-tuning is good for treating it how to act, but not great for reciting/recalling data.
How does this work?
Core pieces: GPT4All (LLM interface/bindings), Chroma (vector store), HuggingFaceEmbeddings (for embeddings), and Langchain to tie everything together.
https://github.com/SamurAIGPT/privateGPT/blob/main/server/pr...
Re: GGML – AI at the Edge
#165ggml and llama.cpp are such a good platform for local LLMs, having some financial backing to support development is brilliant. We should be concentrating as much as possible to do local inference (and training) based on privet data. I want a local ChatGPT fine tuned on my personal data running on my own device, not in the cloud. Ideally open source too, llama.cpp is looking like the best bet to achieve that!
Maybe I'm wrong, but I don't think you want it fine-tuned on your data. Pretty sure you might be looking for this: https://github.com/SamurAIGPT/privateGPT Fine-tuning is good for treating it how to act, but not great for reciting/recalling data.
Re: GGML – AI at the Edge
#166Re: GGML – AI at the Edge
#167Earlier 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…
Re: GGML – AI at the Edge
#168Earlier quoted context omitted.
According to the paper it fine tunes at the speed of inference (!!) This would make fine tuning a qantized 13B model achievable in ~0.3 seconds per training example on a CPU.
It's the same memory footprint as inference. It's not that fast, and the paper mentions some optimizations that could still be done.
I completely misread that!
Re: GGML – AI at the Edge
#169Re: GGML – AI at the Edge
#170Earlier quoted context omitted.
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...
Really looks like some axe-grinding here, if I'm being honest. Especially because it takes very little effort to find out what the present header is by someone who can write software.