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A question about the parameter “–group-size” in qserve_benchmark.py
#48
opened Dec 16, 2024 by
oasis-Linmi
LLama-3-8B model dumped by LMQuant in 4w8a set raises errors when running e2e benchmark in QServe.
#29
opened Aug 12, 2024 by
Patrick-Lew
The outpout of given model(mit-han-lab/Llama-3-8B-QServe-g128) is mistaken
#21
opened Jul 2, 2024 by
haichuan1221
lmquant for QoQ quantization and fake-quantized model dumping
#7
opened May 15, 2024 by
SimpleTheoryOfTypes
Would this work on consumer hardware and integrated in frameworks like llama.cpp or others?
#5
opened May 11, 2024 by
Mayorc1978
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