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AlekseiSavin
Joined 7 years ago
Karma
7
Submissions
5
Member since
Mar 18
View on Hacker News
Recent submissions
Comment · 1 year ago
yeah, tokens per second
Comment · 1 year ago
it looks like llama.cpp has some performance issues with bf16
Comment · 1 year ago
right now, we support AWQ but are currently working on various quantization methods in
https://github.com/trymirai/lalamo
Comment · 1 year ago
You're right, modern edge devices are powerful enough to run small models, so the real bottleneck for a forward pass is usually memory bandwidth, which defines the upper theoretical limit for inference speed. Right now, we've figured out how to run computations in a granular way on specific processing units, but we expect the real benefits to come later when we add support for VLMs and advanced speculative decoding, where you process more than one token at a time
Comment · 1 year ago
already)
https://github.com/trymirai/uzu-swift