hf_text-generation-inference/server/text_generation_server/layers
Daniël de Kok 36dd16017c Add support for exl2 quantization
Mostly straightforward, changes to existing code:

* Wrap quantizer parameters in a small wrapper to avoid passing
  around untyped tuples and needing to repack them as a dict.
* Move scratch space computation to warmup, because we need the
  maximum input sequence length to avoid allocating huge
  scratch buffers that OOM.
2024-05-30 11:28:05 +02:00
..
awq Refactor layers. (#1866) 2024-05-13 12:44:30 +02:00
gptq Add support for exl2 quantization 2024-05-30 11:28:05 +02:00
__init__.py MLPSpeculator. (#1865) 2024-05-14 12:33:18 +02:00
bnb.py [Bug Fix] Update torch import reference in bnb quantization (#1902) 2024-05-15 21:08:32 +02:00
conv.py Refactor layers. (#1866) 2024-05-13 12:44:30 +02:00
eetq.py Refactor layers. (#1866) 2024-05-13 12:44:30 +02:00
exl2.py Add support for exl2 quantization 2024-05-30 11:28:05 +02:00
fp8.py Refactor layers. (#1866) 2024-05-13 12:44:30 +02:00
layernorm.py MI300 compatibility (#1764) 2024-05-17 15:30:47 +02:00
linear.py Add support for exl2 quantization 2024-05-30 11:28:05 +02:00
medusa.py fix: use path inside of speculator config (#1935) 2024-05-22 20:46:29 +02:00
mlp.py MLPSpeculator. (#1865) 2024-05-14 12:33:18 +02:00
rotary.py reenable xpu for tgi (#1939) 2024-05-23 14:11:08 +02:00
speculative.py MLPSpeculator. (#1865) 2024-05-14 12:33:18 +02:00
tensor_parallel.py Add support for exl2 quantization 2024-05-30 11:28:05 +02:00