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
..
models	fix(server): llama v2 GPTQ (#648)	2023-07-20 15:02:54 +02:00
pb	feat(server): clear cache on error (#143)	2023-03-28 11:29:35 +02:00
utils	Add trust_remote_code to quantize script (#647)	2023-07-20 13:53:08 +02:00
__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	feat(server): Reworking the quantization script so it's still universal (not llama specific) (#587)	2023-07-18 12:19:05 +02:00
interceptor.py	feat(server): empty cache on errors	2023-07-12 17:06:19 +02:00
server.py	feat(server): auto max_batch_total_tokens for flash att models (#630)	2023-07-19 09:31:25 +02:00
tracing.py	feat(clients): Python client (#103)	2023-03-07 18:52:22 +01:00