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LLaMA-Factory-310P3
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fix loading dtype

This commit is contained in:
hiyouga 2023-10-14 20:15:24 +08:00
parent 01d8cb1ca7
commit c874e764b8
1 changed files with 4 additions and 5 deletions
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9
src/llmtuner/tuner/core/loader.py
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@ -88,11 +88,10 @@ def load_model_and_tokenizer(
tokenizer._pad = MethodType(PreTrainedTokenizerBase._pad, tokenizer) tokenizer._pad = MethodType(PreTrainedTokenizerBase._pad, tokenizer)
# Set model dtype # Set model dtype
if model_args.compute_dtype is not None: if model_args.compute_dtype is not None: # for training
setattr(config, "torch_dtype", model_args.compute_dtype) setattr(config, "torch_dtype", model_args.compute_dtype)
else: # priority: bf16 > fp16 > fp32 else: # for evaluation, priority: bf16 > fp16 > fp32
optim_dtype = infer_optim_dtype(model_dtype=getattr(config, "torch_dtype", None)) model_args.compute_dtype = infer_optim_dtype(model_dtype=getattr(config, "torch_dtype", None))
setattr(config, "torch_dtype", optim_dtype)
# Fix config (for Qwen) # Fix config (for Qwen)
if getattr(config, "model_type", None) == "qwen": if getattr(config, "model_type", None) == "qwen":
@ -185,7 +184,7 @@ def load_model_and_tokenizer(
model = AutoModelForCausalLM.from_pretrained( model = AutoModelForCausalLM.from_pretrained(
model_to_load, model_to_load,
config=config, config=config,
torch_dtype=getattr(config, "torch_dtype"), torch_dtype=model_args.compute_dtype,
low_cpu_mem_usage=(not is_deepspeed_zero3_enabled()), low_cpu_mem_usage=(not is_deepspeed_zero3_enabled()),
**config_kwargs **config_kwargs
) )