text-generation-inference/server/text_generation_server
Daniël de Kok e0d168ba20 Use GPTQ-Marlin for supported GPTQ configurations (#2111)
GPTQ-Marlin is currently the best-performing kernel for GPTQ models. So
let's use it by default if the kernels are installed, the GPU supports
it, and the kernels support the configuration.

For models generated by `text-generation-server quantize`, use
`sym=False`. This subcommand symmetric quantization since the beginning
and incorrectly reporting the model to be symmetric will use
GPTQ-Marlin (which does not support asymmetric quantization).
2024-09-24 03:57:32 +00:00
..
adapters Enable multiple LoRa adapters (#2010) 2024-09-24 03:55:04 +00:00
layers Use GPTQ-Marlin for supported GPTQ configurations (#2111) 2024-09-24 03:57:32 +00:00
models fix: use weights from base_layer (#2141) 2024-09-24 03:57:32 +00:00
pb chore: add pre-commit (#1569) 2024-04-24 15:32:02 +03:00
utils Use GPTQ-Marlin for supported GPTQ configurations (#2111) 2024-09-24 03:57:32 +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 Enable multiple LoRa adapters (#2010) 2024-09-24 03:55:04 +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