423A35C7/LLaMA-Factory
1
0
Fork 0
mirror of https://github.com/hiyouga/LLaMA-Factory.git synced 2025-08-23 22:32:54 +08:00
Code Issues Packages Projects Releases Wiki Activity

Merge branch 'pixtral-patch' of https://github.com/Kuangdd01/LLaMA-Factory-X into pixtral-patch

Browse Source 
Former-commit-id: 341a79fb96c65b35985d2982988431fd0eea5277
This commit is contained in:
KUANGDD 2024-10-23 15:28:19 +08:00
commit 00545ebbe5
4 changed files with 3 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
src/llamafactory/extras/misc.py
View File

@ -79,7 +79,7 @@ def check_dependencies() -> None:
if os.environ.get("DISABLE_VERSION_CHECK", "0").lower() in ["true", "1"]: if os.environ.get("DISABLE_VERSION_CHECK", "0").lower() in ["true", "1"]:
logger.warning("Version checking has been disabled, may lead to unexpected behaviors.") logger.warning("Version checking has been disabled, may lead to unexpected behaviors.")
else: else:
require_version("transformers>=4.41.2", "To fix: pip install transformers>=4.41.2,<=4.45.2") require_version("transformers>=4.41.2,<=4.46.0", "To fix: pip install transformers>=4.41.2,<=4.46.0")
require_version("datasets>=2.16.0,<=2.21.0", "To fix: pip install datasets>=2.16.0,<=2.21.0") require_version("datasets>=2.16.0,<=2.21.0", "To fix: pip install datasets>=2.16.0,<=2.21.0")
require_version("accelerate>=0.30.1,<=0.34.2", "To fix: pip install accelerate>=0.30.1,<=0.34.2") require_version("accelerate>=0.30.1,<=0.34.2", "To fix: pip install accelerate>=0.30.1,<=0.34.2")
require_version("peft>=0.11.1,<=0.12.0", "To fix: pip install peft>=0.11.1,<=0.12.0") require_version("peft>=0.11.1,<=0.12.0", "To fix: pip install peft>=0.11.1,<=0.12.0")

1
src/llamafactory/model/loader.py
View File

@ -116,7 +116,6 @@ def load_config(model_args: "ModelArguments") -> "PretrainedConfig":
Loads model config. Loads model config.
""" """
init_kwargs = _get_init_kwargs(model_args) init_kwargs = _get_init_kwargs(model_args)
return AutoConfig.from_pretrained(model_args.model_name_or_path, **init_kwargs) return AutoConfig.from_pretrained(model_args.model_name_or_path, **init_kwargs)