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Add some comments, remove obsolete code

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oobabooga 2023-04-13 11:17:32 -03:00
parent da74cd7c44
commit f2bf1a2c9e
1 changed files with 6 additions and 20 deletions
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26
modules/GPTQ_loader.py
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@ -78,8 +78,9 @@ def _load_quant(model, checkpoint, wbits, groupsize=-1, faster_kernel=False, exc
def load_quantized(model_name):
# Find the model type
if not shared.args.model_type:
# Try to determine model type from model name
name = model_name.lower()
if any((k in name for k in ['llama', 'alpaca', 'vicuna'])):
model_type = 'llama'
@ -94,6 +95,7 @@ def load_quantized(model_name):
else:
model_type = shared.args.model_type.lower()
# Select the appropriate load_quant function
if shared.args.pre_layer and model_type == 'llama':
load_quant = llama_inference_offload.load_quant
elif model_type in ('llama', 'opt', 'gptj'):
@ -104,7 +106,7 @@ def load_quantized(model_name):
print("Unknown pre-quantized model type specified. Only 'llama', 'opt' and 'gptj' are supported")
exit()
# Now we are going to try to locate the quantized model file. I think it's cleaner and supports the new name containing groupsize
# Locate the quantized model file
path_to_model = Path(f'{shared.args.model_dir}/{model_name}')
pt_path = None
priority_name_list = [
@ -118,7 +120,8 @@ def load_quantized(model_name):
pt_path = path
break
# For compatibility, do we really need this?
# If the model hasn't been found with a well-behaved name, pick the last .pt
# or the last .safetensors found in its folder as a last resort
if not pt_path:
path_to_model = Path(f'{shared.args.model_dir}/{model_name}')
found_pts = list(path_to_model.glob("*.pt"))
@ -129,23 +132,6 @@ def load_quantized(model_name):
pt_path = found_pts[-1]
elif len(found_safetensors) > 0:
pt_path = found_safetensors[-1]
else:
if path_to_model.name.lower().startswith('llama-7b'):
pt_model = f'llama-7b-{shared.args.wbits}bit'
elif path_to_model.name.lower().startswith('llama-13b'):
pt_model = f'llama-13b-{shared.args.wbits}bit'
elif path_to_model.name.lower().startswith('llama-30b'):
pt_model = f'llama-30b-{shared.args.wbits}bit'
elif path_to_model.name.lower().startswith('llama-65b'):
pt_model = f'llama-65b-{shared.args.wbits}bit'
else:
pt_model = f'{model_name}-{shared.args.wbits}bit'
# Try to find the .safetensors or .pt both in the model dir and in the subfolder
for path in [Path(p + ext) for ext in ['.safetensors', '.pt'] for p in [f"{shared.args.model_dir}/{pt_model}", f"{path_to_model}/{pt_model}"]]:
if path.exists():
pt_path = path
break
if not pt_path:
print("Could not find the quantized model in .pt or .safetensors format, exiting...")