Viewing profile — opcode84
opcode84
HN member- Joined
- Wed, Oct 18, 2023, 4:02 PM UTC
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- 14 items
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About opcode84
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Recent public activity
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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 …
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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 …
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Comment #44387908
Introducing NVFP4 for Efficient and Accurate Low-Precision Inference
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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…
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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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Comment #39752158
https://arxiv.org/pdf/2310.10537.pdf Discussed in a previous post https://news.ycombinator.com/item?id=37930663
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Comment #38281170
The Microsoft chip has MX data types: https://news.ycombinator.com/item?id=37930663 https://arxiv.org/abs/2310.10537
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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…
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