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I'm thinking there would probably be a way for this to be implemented as an array of bits. I would need to look into if this is possible and how as well as what the benefits/drawbacks would be to this…
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Would it possible to implement 1.58 bit quantization on candle ? It was proposed in the following paper,
https://arxiv.org/pdf/2402.17764.pdf
The main inspiration behind using 1.58 bit implement…
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### What happened?
Device is recognized as https://www.zigbee2mqtt.io/devices/BHT-002_BHT-006.html#moes-bht-002%252Fbht-006 but actually looks like it is not.
It works in general, but:
- in UI su…
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**Describe the bug**
The new disable-bit permissions are as follows:
```
// If one of the following bits is set in asset issuer permissions,
// it means the asset issuer (or owner for bitasset…
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This handy app is about to become completely obsolete unless it gets upgraded to 64-bit. macOS will stop supporting 32-bit apps in the next major OS release.
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as we all know from the standard (or references), the compiler is free to arrange the data as it likes[1].
it seems advisable to put a `pragma pack` around the structs and annotate the struct member…
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Thank you for your work on micro-ECC. I was reading in the past issues (#23) that you could possibly make a 16-bit version for the MSP430. Is this still a possibility?
Thanks!
Jason
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[This report](https://docs.amd.com/v/u/en-US/wp486-deep-learning-int8) describes DSP packing for int8. I would like to extend it for quantization with fewer bits, increasing the speedup and reducing t…
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Android is based on the Linux kernel, and its `libc` implementation has I/O notification APIs like [`epoll`](https://android.googlesource.com/platform/bionic/+/bbd39aa8e66dfe325732934d1aeb0da52b4750d5…
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@dhm2013724 hey,
I wanted to know about the 16 bit fixed point Implementation. Did you convert the weights and biases to 16-bit before the inference and just used stored 16-bit weights during inferen…