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@@ -42,7 +42,7 @@ def load_model(model_name):
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t0 = time.time()
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shared.is_RWKV = 'rwkv-' in model_name.lower()
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- shared.is_llamacpp = model_name.lower().startswith(('llamacpp', 'alpaca-cpp'))
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+ shared.is_llamacpp = len(list(Path(f'models/{model_name}').glob('ggml*.bin'))) > 0
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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, shared.is_llamacpp]):
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@@ -105,12 +105,10 @@ def load_model(model_name):
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elif shared.is_llamacpp:
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from modules.llamacpp_model import LlamaCppModel
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- if model_name.lower().startswith('alpaca-cpp'):
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- model_file = f'models/{model_name}/ggml-alpaca-7b-q4.bin'
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- else:
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- model_file = f'models/{model_name}/ggml-model-q4_0.bin'
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+ model_file = list(Path(f'models/{model_name}').glob('ggml*.bin'))[0]
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+ print(f"llama.cpp weights detected: {model_file}\n")
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- model, tokenizer = LlamaCppModel.from_pretrained(Path(model_file))
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+ model, tokenizer = LlamaCppModel.from_pretrained(model_file)
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return model, tokenizer
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# Custom
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oobabooga