fxmarty 362883f259 fix(server): llama v2 GPTQ (#648) ... As per title & reported https://github.com/huggingface/text-generation-inference/issues/601#issuecomment-1641435956 https://huggingface.co/TheBloke/Llama-2-70B-chat-GPTQ/discussions/5 Test it: ``` GPTQ_BITS=4 GPTQ_GROUPSIZE=1 text-generation-launcher --model-id TheBloke/Llama-2-70B-chat-GPTQ --port 8080 --num-shard 4 --quantize gptq ``` & ``` curl 127.0.0.1:8080/generate \ -X POST \ -d '{"inputs":"hey llama","parameters":{"max_new_tokens":256}}' \ -H 'Content-Type: application/json' ```		2023-07-20 15:02:54 +02:00
..
__init__.py	feat(server): flash santacoder (#153)	2023-04-03 19:06:42 +02:00
bloom_modeling.py	feat: better errors for warmup and TP (#575)	2023-07-10 14:47:15 +02:00
flash_llama_modeling.py	fix(server): llama v2 GPTQ (#648)	2023-07-20 15:02:54 +02:00
flash_neox_modeling.py	feat(server): flash attention v2 (#624)	2023-07-18 16:21:18 +02:00
flash_rw_modeling.py	feat(server): flash attention v2 (#624)	2023-07-18 16:21:18 +02:00
flash_santacoder_modeling.py	feat(server): flash attention v2 (#624)	2023-07-18 16:21:18 +02:00
mpt_modeling.py	feat: better errors for warmup and TP (#575)	2023-07-10 14:47:15 +02:00
neox_modeling.py	feat: better errors for warmup and TP (#575)	2023-07-10 14:47:15 +02:00
opt_modeling.py	feat: better errors for warmup and TP (#575)	2023-07-10 14:47:15 +02:00
t5_modeling.py	fix(server): Adding logger import to t5_modeling.py (#585)	2023-07-12 10:40:32 +02:00