dbb23fbfa8
Packing of asymmetric quantization is broken, all (q)zeros values of `0` get reset to `1`, resulting in a loss of accuracy. So instead use symmetric quantization. To be able to distinguish models with symmetric and asymmetric quantization, a new config tensor `gptq_sym` is added. If this tensor is not present, we assume `sym=False`. |
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.. | ||
adapters | ||
layers | ||
models | ||
pb | ||
utils | ||
__init__.py | ||
cache.py | ||
cli.py | ||
interceptor.py | ||
server.py | ||
tracing.py |