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Hello Team,
It seems the MacOS version took 1.4G memory whenever open it. I imagine what happened, even with no tree loaded it constantly consumes 1.4G memory, even larger than famous software such…
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Hi, this is great news after 14 years!
i've tried the executable on an Epyc 7282 server 2019 with 128 GB RAM and on djvu files larger than ~ 25MB it gives for example:
Processing page 81 of 81
…
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An interesting and counterintuitive observation we should make is that trying to achieve the highest possible levels of compression for call_genotype is actually pointless. From @benjeffery's experime…
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### Summary
The current description for the lint is:
> A Result is at least as large as the Err-variant. While we expect that variant to be seldomly used, the compiler needs to reserve and move th…
dridi updated
1 month ago
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For fairly "large" servers such as chat.zulip.org memory usage can be larger than one might expect, partially since we retain all the original data sent by the server and don't currently trim entries …
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The install of the AUR packet using an AUR-helper (I have tried both yay and paru) fail. I have tried both howdy, howdy-beta-git and howdy-git. all throw the same errors.
It throws the following erro…
L-28 updated
4 months ago
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All of the examples I've seen either:
1. Show TPOT using Dask for training on a dataset that fits in memory ([shown here](https://examples.dask.org/machine-learning/tpot.html))
2. Show how to use …
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> One should never rely on the number of bytes actually allocated corresponding to the number requested.
The number of bytes allocated is guaranteed to be the same (or more? I guess it's rounded up…
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The FA3 paper says:
> Accuracy: block quantization and incoherent processing. With FP8 (e4m3) format, one only uses 3 bits to store the mantissa and 4 bits for the exponent. This results in higher …
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### What is the issue?
**Description:**
I encountered an issue where the **LLaMA 3.2 Vision 11b** model loads entirely in CPU RAM, without utilizing the GPU memory as expected. The issue occurs on m…