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[train] KTransformers SFT as backend engine for LLaMA-Factory (#9400)

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Co-authored-by: jimmy128 <jimmy128@noreply.gitcode.com>
Co-authored-by: Yaowei Zheng <hiyouga@buaa.edu.cn>
This commit is contained in:
Peilin Li
2025-11-04 15:54:12 +08:00
committed by GitHub
parent 3ae15da9c0
commit 934b3084ee
37 changed files with 2006 additions and 16 deletions
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4
src/llamafactory/launcher.py
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@@ -38,7 +38,7 @@ USAGE = (
def launch():
from .extras import logging
from .extras.env import VERSION, print_env
from .extras.misc import find_available_port, get_device_count, is_env_enabled, use_ray
from .extras.misc import find_available_port, get_device_count, is_env_enabled, use_kt, use_ray
logger = logging.get_logger(__name__)
WELCOME = (
@@ -57,7 +57,7 @@ def launch():
if is_env_enabled("USE_MCA"): # force use torchrun
os.environ["FORCE_TORCHRUN"] = "1"
if command == "train" and (is_env_enabled("FORCE_TORCHRUN") or (get_device_count() > 1 and not use_ray())):
if command == "train" and (is_env_enabled("FORCE_TORCHRUN") or (get_device_count() > 1 and not use_ray() and not use_kt())):
# launch distributed training
nnodes = os.getenv("NNODES", "1")
node_rank = os.getenv("NODE_RANK", "0")