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@@ -44,7 +44,7 @@ def load_model(model_name):
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shared.is_RWKV = model_name.lower().startswith('rwkv-')
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# Default settings
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- 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]):
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+ if not any([shared.args.cpu, shared.args.load_in_8bit, shared.args.gptq_bits, 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]):
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if any(size in shared.model_name.lower() for size in ('13b', '20b', '30b')):
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model = AutoModelForCausalLM.from_pretrained(Path(f"models/{shared.model_name}"), device_map='auto', load_in_8bit=True)
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else:
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@@ -95,7 +95,7 @@ def load_model(model_name):
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return model, tokenizer
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# Quantized model
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- elif shared.args.wbits > 0:
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+ elif shared.args.gptq_bits > 0:
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from modules.GPTQ_loader import load_quantized
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model = load_quantized(model_name)
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oobabooga