Viewing profile — paul_mk1
paul_mk1
HN member- Joined
- Sun, Aug 06, 2023, 3:46 AM UTC
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About paul_mk1
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Recent public activity
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Comment #39867046
Sub 1-bit has been done at least as far back as 2016 for VGG style networks (my work). I was able to get 0.68 "effective" bits. The idea is that in each forward pass you add noise …
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Comment #39655176
Goes back before then. This got popularized by BinaryConnect in 2015, and groups were training binary networks as early as 2011. You are probably referring to XNOR net, and the nov…
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Comment #39653226
It's clear that QLoRA has opened up finetuning to a wider audience with limited compute, which is a good thing. One thing I've wondered about: what are the drawbacks to using QLoRA…
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Comment #39546444
I don't think there is anything conceptually new in this work, other than it is applied to LLMs. But in fairness, getting these techniques to work at scale is no small feat. In my …
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Comment #39546409
Nice to know there is a trail to relevant citations. I missed the BitNet paper and need to catch up. Btw TrueNorth project evolved into "NorthPole" chip by the same group, and was …
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Comment #39544500
Fun to see ternary weights making a comeback. This was hot back in 2016 with BinaryConnect and TrueNorth chip from IBM research (disclosure, I was one of the lead chip architects t…
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Comment #38908757
Comparisons between different chip architectures are imperfect. In our opinion the most fair thing to do is 1) match the TFLOPs (since these workloads are compute bound), and 2) fi…
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Comment #38908724
You can try it yourself on SageMaker using NVIDIA. There's a free trial. https://aws.amazon.com/marketplace/seller-profile?id=seller-... For AMD, you'll have to wait until these ca…
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Comment #38908356
This is a good observation, the cards do have different memory bandwidth with the MI210 having more than double the bandwidth via HBM2e. Note that the comparisons between the two c…
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Comment #37026079
>The "-ngl 32" means that only 32 out of 35 layers are being run on the GPU, and this results in a huge slow down as the GPU syncs with the CPU, and then computes the last 3 layers…
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Comment #37019899
Appreciate your response. We compared MKML mk600 (5.2GB) against llama.cpp Q5_1 (4.7GB) and Q6_k (5.1GB) on a 4090 for llama-7B. The test is the same in all cases: we generate 128 …
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Comment #37018989
Hi, one of the founders here. Attempting to address some of the comments in a single message. To help understand why we decided not to compare to existing methods: I think it would…