423A35C7/LLaMA-Factory
1
0
Fork 0
mirror of https://github.com/hiyouga/LLaMA-Factory.git synced 2025-08-23 06:12:50 +08:00
Code Issues Packages Projects Releases Wiki Activity

fix inference

Browse Source 
Former-commit-id: d3a0692d4d9033a3b58d68357294854144479536
This commit is contained in:
hiyouga 2023-08-01 00:06:48 +08:00
parent d5d3b2a42f
commit e34fc5fd2e
2 changed files with 3 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
src/llmtuner/tuner/core/loader.py
View File

@ -18,10 +18,11 @@ from trl import AutoModelForCausalLMWithValueHead
from llmtuner.extras.logging import get_logger
from llmtuner.extras.misc import count_parameters, prepare_model_for_training
from llmtuner.extras.save_and_load import load_valuehead_params
from llmtuner.hparams import FinetuningArguments
from llmtuner.tuner.core.adapter import init_adapter
if TYPE_CHECKING:
from llmtuner.hparams import ModelArguments, FinetuningArguments
from llmtuner.hparams import ModelArguments
logger = get_logger(__name__)

2
src/llmtuner/tuner/core/trainer.py
View File

@ -68,7 +68,7 @@ class PeftTrainer(Seq2SeqTrainer):
else:
torch.save(state_dict, os.path.join(output_dir, WEIGHTS_NAME))
if self.tokenizer is not None:
if self.finetuning_args.finetuning_type == "full" and self.tokenizer is not None:
self.tokenizer.save_pretrained(output_dir)
with open(os.path.join(output_dir, TRAINING_ARGS_NAME), "w", encoding="utf-8") as f: