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opcode84

HN member
Joined
Wed, Oct 18, 2023, 4:02 PM UTC
HN karma
66
Public activity
14 items

About opcode84

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Recent public activity

  1. comment
    Comment #45029192

    For narrow-precision formats to be practical in large-scale pretraining, they must ensure both model accuracy and stable convergence. To assess the viability of 4-bit precision in …

  2. story
  3. comment
    Comment #45015936

    A version of the 12B Hybrid Mamba-Transformer model was initially trained with 8-bit precision—FP8, which has been shown in previous studies to closely match 16-bit precision, and …

  4. story
  5. comment
    Comment #44387908

    Introducing NVFP4 for Efficient and Accurate Low-Precision Inference

  6. story
  7. comment
    Comment #43006286

    The formats supported in the tutorial are the OCP microscaling formats, including mxfp4 and mxfp8, as well as NVIDIA’s nvfp4 format. These matrix multiplications are accelerated by…

  8. story
  9. comment
    Comment #42958984

    From the article: "NVIDIA Blackwell introduces revolutionary block-scaled floating point formats, including the Open Computing Project’s microscaling formats, which Triton now unlo…

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  11. comment
    Comment #39752158

    https://arxiv.org/pdf/2310.10537.pdf Discussed in a previous post https://news.ycombinator.com/item?id=37930663

  12. comment
    Comment #38281170

    The Microsoft chip has MX data types: https://news.ycombinator.com/item?id=37930663 https://arxiv.org/abs/2310.10537

  13. comment
    Comment #37930664

    Earlier this year, AMD, Arm, Intel, Meta, Microsoft, NVIDIA, and Qualcomm Technologies, Inc. formed the Microscaling Formats (MX) Alliance with the goal of creating and standardizi…

  14. story