Daniël de Kok ee56266044 Use symmetric quantization in the quantize subcommand (#2120) ... 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`.		2024-09-25 05:27:40 +00:00
..
adapters	Enable multiple LoRa adapters (#2010)	2024-09-24 03:55:04 +00:00
layers	Use symmetric quantization in the quantize subcommand (#2120)	2024-09-25 05:27:40 +00:00
models	Move quantized weight handling out of the Weights class (#2194)	2024-09-25 05:27:40 +00:00
pb	chore: add pre-commit (#1569)	2024-04-24 15:32:02 +03:00
utils	Use symmetric quantization in the quantize subcommand (#2120)	2024-09-25 05:27:40 +00:00
__init__.py	feat(clients): Python client (#103)	2023-03-07 18:52:22 +01:00
cache.py	fix(server): decrease memory fragmentation (#557)	2023-07-06 14:28:33 +02:00
cli.py	Use symmetric quantization in the quantize subcommand (#2120)	2024-09-25 05:27:40 +00:00
interceptor.py	Aligin the source code with main branch 2.0.4	2024-09-24 03:06:55 +00:00
server.py	Enable multiple LoRa adapters (#2010)	2024-09-24 03:55:04 +00:00
tracing.py	Add OTLP Service Name Environment Variable (#2076)	2024-09-24 03:51:26 +00:00