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Detect ggml*.bin files automatically

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oobabooga 2023-03-31 17:18:21 -03:00
parent 0aee7341d8
commit 3a47a602a3
1 changed files with 4 additions and 6 deletions
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10
modules/models.py
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@ -42,7 +42,7 @@ def load_model(model_name):
t0 = time.time()
shared.is_RWKV = 'rwkv-' in model_name.lower()
shared.is_llamacpp = model_name.lower().startswith(('llamacpp', 'alpaca-cpp'))
shared.is_llamacpp = len(list(Path(f'models/{model_name}').glob('ggml*.bin'))) > 0
# Default settings
if not any([shared.args.cpu, shared.args.load_in_8bit, shared.args.wbits, shared.args.auto_devices, shared.args.disk, shared.args.gpu_memory is not None, shared.args.cpu_memory is not None, shared.args.deepspeed, shared.args.flexgen, shared.is_RWKV, shared.is_llamacpp]):
@ -105,12 +105,10 @@ def load_model(model_name):
elif shared.is_llamacpp:
from modules.llamacpp_model import LlamaCppModel
if model_name.lower().startswith('alpaca-cpp'):
model_file = f'models/{model_name}/ggml-alpaca-7b-q4.bin'
else:
model_file = f'models/{model_name}/ggml-model-q4_0.bin'
model_file = list(Path(f'models/{model_name}').glob('ggml*.bin'))[0]
print(f"llama.cpp weights detected: {model_file}\n")
model, tokenizer = LlamaCppModel.from_pretrained(Path(model_file))
model, tokenizer = LlamaCppModel.from_pretrained(model_file)
return model, tokenizer
# Custom