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https://github.com/oobabooga/text-generation-webui.git
synced 2024-10-01 01:26:03 -04:00
Allow --lora to use an absolute path
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parent
3929971b66
commit
0789554f65
@ -17,6 +17,14 @@ def add_lora_to_model(lora_names):
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add_lora_transformers(lora_names)
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def get_lora_path(lora_name):
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p = Path(lora_name)
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if p.exists():
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lora_name = p.parts[-1]
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return Path(f"{shared.args.lora_dir}/{lora_name}")
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def add_lora_exllama(lora_names):
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try:
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@ -40,7 +48,7 @@ def add_lora_exllama(lora_names):
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if len(lora_names) > 1:
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logger.warning('ExLlama can only work with 1 LoRA at the moment. Only the first one in the list will be loaded.')
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lora_path = Path(f"{shared.args.lora_dir}/{lora_names[0]}")
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lora_path = get_lora_path(lora_names[0])
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lora_config_path = lora_path / "adapter_config.json"
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lora_adapter_path = lora_path / "adapter_model.bin"
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@ -81,7 +89,7 @@ def add_lora_autogptq(lora_names):
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inference_mode=True,
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)
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lora_path = Path(f"{shared.args.lora_dir}/{lora_names[0]}")
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lora_path = get_lora_path(lora_names[0])
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logger.info("Applying the following LoRAs to {}: {}".format(shared.model_name, ', '.join([lora_names[0]])))
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shared.model = get_gptq_peft_model(shared.model, peft_config, lora_path)
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shared.lora_names = [lora_names[0]]
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@ -101,7 +109,7 @@ def add_lora_transformers(lora_names):
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if len(removed_set) == 0 and len(prior_set) > 0:
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logger.info(f"Adding the LoRA(s) named {added_set} to the model...")
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for lora in added_set:
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shared.model.load_adapter(Path(f"{shared.args.lora_dir}/{lora}"), lora)
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shared.model.load_adapter(get_lora_path(lora), lora)
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return
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@ -123,9 +131,9 @@ def add_lora_transformers(lora_names):
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params['device_map'] = {"base_model.model." + k: v for k, v in shared.model.hf_device_map.items()}
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logger.info("Applying the following LoRAs to {}: {}".format(shared.model_name, ', '.join(lora_names)))
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shared.model = PeftModel.from_pretrained(shared.model, Path(f"{shared.args.lora_dir}/{lora_names[0]}"), adapter_name=lora_names[0], **params)
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shared.model = PeftModel.from_pretrained(shared.model, get_lora_path(lora_names[0]), adapter_name=lora_names[0], **params)
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for lora in lora_names[1:]:
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shared.model.load_adapter(Path(f"{shared.args.lora_dir}/{lora}"), lora)
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shared.model.load_adapter(get_lora_path(lora), lora)
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shared.lora_names = lora_names
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