Make model autodetect all gpt-neo and opt models

This commit is contained in:
oobabooga 2023-01-06 02:31:54 -03:00
parent deefa2e86a
commit 9498dca748

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@ -27,7 +27,7 @@ def load_model(model_name):
if os.path.exists(f"torch-dumps/{model_name}.pt"): if os.path.exists(f"torch-dumps/{model_name}.pt"):
print("Loading in .pt format...") print("Loading in .pt format...")
model = torch.load(f"torch-dumps/{model_name}.pt").cuda() model = torch.load(f"torch-dumps/{model_name}.pt").cuda()
elif model_name in ['gpt-neox-20b', 'opt-13b', 'OPT-13B-Erebus']: elif model_name.lower().startswith(('gpt-neo', 'opt-')):
model = AutoModelForCausalLM.from_pretrained(f"models/{model_name}", device_map='auto', load_in_8bit=True) model = AutoModelForCausalLM.from_pretrained(f"models/{model_name}", device_map='auto', load_in_8bit=True)
elif model_name in ['gpt-j-6B']: elif model_name in ['gpt-j-6B']:
model = AutoModelForCausalLM.from_pretrained(f"models/{model_name}", low_cpu_mem_usage=True, torch_dtype=torch.float16).cuda() model = AutoModelForCausalLM.from_pretrained(f"models/{model_name}", low_cpu_mem_usage=True, torch_dtype=torch.float16).cuda()