AI/text-generation-webui
1
0
Fork 0
mirror of https://github.com/oobabooga/text-generation-webui.git synced 2024-10-01 01:26:03 -04:00
Code Issues Packages Projects Releases Wiki Activity

Add --compress-weight parameter

Browse Source
This commit is contained in:
oobabooga 2023-02-22 00:43:21 -03:00
parent 193fb1660a
commit b8b3d4139c
1 changed files with 3 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
server.py
View File

@ -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),