hf_text-generation-inference/server/text_generation_server/utils
Ilyas Moutawwakil a4e5801684
ROCm AWQ support (#1514)
# What does this PR do?

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This PR adds the possibility to run AWQ models with Exllama/GPTQ
kernels, specifically for ROCm devices that support Exllama kernels but
not AWQ's GEMM.

This is done by :
- un-packing, reordering and re-packing AWQ weights when `--quantize
gptq` but the model's `quant_method=awq`.
- avoiding overflows when adding 1 to zeros in exllama and triton.

Ref: https://github.com/casper-hansen/AutoAWQ/pull/313

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---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-02-09 10:45:16 +01:00
..
awq ROCm AWQ support (#1514) 2024-02-09 10:45:16 +01:00
gptq ROCm AWQ support (#1514) 2024-02-09 10:45:16 +01:00
__init__.py feat(server): Add native support for PEFT Lora models (#762) 2023-08-03 17:22:45 +02:00
convert.py fit for baichuan models (#981) 2023-09-08 16:51:34 +02:00
dist.py feat: add cuda memory fraction (#659) 2023-07-24 11:43:58 +02:00
flash_attn.py Fix missing make target platform for local install: 'install-flash-attention-v2' (#1414) 2024-01-09 16:19:31 +01:00
hub.py Fix local load for peft (#1373) 2023-12-21 17:29:23 +01:00
import_utils.py Add RoCm support (#1243) 2023-11-27 14:08:12 +01:00
layers.py ROCm AWQ support (#1514) 2024-02-09 10:45:16 +01:00
log.py v1.3.4 2023-12-22 15:46:04 +01:00
logits_process.py feat(server): add frequency penalty (#1541) 2024-02-08 18:41:25 +01:00
medusa.py chore: formatting 2023-12-11 14:49:52 +01:00
paged_attention.py chore: formatting 2023-12-11 14:49:52 +01:00
peft.py fix: fix local loading for .bin models (#1419) 2024-01-09 15:21:00 +01:00
speculate.py chore: formatting 2023-12-11 14:49:52 +01:00
tokens.py feat(server): add frequency penalty (#1541) 2024-02-08 18:41:25 +01:00
watermark.py Fixing watermark. (#851) 2023-08-16 07:17:26 +02:00
weights.py ROCm AWQ support (#1514) 2024-02-09 10:45:16 +01:00