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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

  1. comment
    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 …

  2. comment
    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…

  3. comment
    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…

  4. comment
    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 …

  5. comment
    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 …

  6. comment
    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…

  7. story
  8. comment
    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…

  9. comment
    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…

  10. comment
    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…

  11. comment
    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…

  12. comment
    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 …

  13. comment
    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…