LocalLLaMA
Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
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As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.
Rules:
Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.
Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.
Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.
Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.
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Still fine tuning this. I'm finding that Grug has a particular affinity for larger -b and -ub sizes. I'm now able to hit 90-110 tok/s prefil (upto 155 tok/s fresh). Specific details below
All this on a Quadro P1000 4GB card.
In-sane.
PS: Interestingly, dropping cache precision away from FP16 reduced tok/s generation by 18%. I don't know why. I'm just fine tuning MTP now to see if I can eke out a few more tok/s, as MTP enabled grug-v2 just dropped
https://huggingface.co/ProCreations/grug-35b-mtp-gguf
PPS: Sadly also discovered my Tesla card has intermittent electrical fault. Took some troubleshooting to figure it out, but the long and short of it is you probably shouldn't buy second-hand server cards off Ebay. Oh well, $100. On the upside, tweaking throttlestop, re-pasting and re-seating greatly improved thermals.