From b8b3d4139c0c7001356c1b1706f47dd401c30ff4 Mon Sep 17 00:00:00 2001 From: oobabooga <112222186+oobabooga@users.noreply.github.com> Date: Wed, 22 Feb 2023 00:43:21 -0300 Subject: [PATCH] Add --compress-weight parameter --- server.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/server.py b/server.py index 83241993..ecc9679b 100644 --- a/server.py +++ b/server.py @@ -46,7 +46,8 @@ parser.add_argument('--disk-cache-dir', type=str, default="cache", help='Directo parser.add_argument('--gpu-memory', type=int, help='Maximum GPU memory in GiB to allocate. This is useful if you get out of memory errors while trying to generate text. Must be an integer number.') parser.add_argument('--cpu-memory', type=int, help='Maximum CPU memory in GiB to allocate for offloaded weights. Must be an integer number. Defaults to 99.') parser.add_argument('--flexgen', action='store_true', help='Enable the use of FlexGen offloading.') -parser.add_argument('--percent', nargs="+", type=int, default=[0, 100, 100, 0, 100, 0], help='FlexGen: allocation percentages. Must be 6 numbers separated by spaces.') +parser.add_argument('--percent', nargs="+", type=int, default=[0, 100, 100, 0, 100, 0], help='FlexGen: allocation percentages. Must be 6 numbers separated by spaces (default: %(default)s).') +parser.add_argument("--compress-weight", action="store_true", help="FlexGen: Whether to compress weight (default: %(default)s).") parser.add_argument('--deepspeed', action='store_true', help='Enable the use of DeepSpeed ZeRO-3 for inference via the Transformers integration.') parser.add_argument('--nvme-offload-dir', type=str, help='DeepSpeed: Directory to use for ZeRO-3 NVME offloading.') parser.add_argument('--local_rank', type=int, default=0, help='DeepSpeed: Optional argument for distributed setups.') @@ -132,7 +133,7 @@ def load_model(model_name): args.percent[4], args.percent[5], overlap=True, sep_layer=True, pin_weight=True, cpu_cache_compute=False, attn_sparsity=1.0, - compress_weight=False, + compress_weight=args.compress_weight, comp_weight_config=CompressionConfig( num_bits=4, group_size=64, group_dim=0, symmetric=False),