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https://github.com/oobabooga/text-generation-webui.git
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Add warnings for when AutoGPTQ, TensorRT-LLM, or HQQ are missing
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@ -70,11 +70,11 @@ def load_model(model_name, loader=None):
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shared.model_name = model_name
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shared.model_name = model_name
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load_func_map = {
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load_func_map = {
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'Transformers': huggingface_loader,
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'Transformers': huggingface_loader,
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'AutoGPTQ': AutoGPTQ_loader,
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'llama.cpp': llamacpp_loader,
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'llama.cpp': llamacpp_loader,
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'llamacpp_HF': llamacpp_HF_loader,
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'llamacpp_HF': llamacpp_HF_loader,
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'ExLlamav2': ExLlamav2_loader,
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'ExLlamav2': ExLlamav2_loader,
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'ExLlamav2_HF': ExLlamav2_HF_loader,
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'ExLlamav2_HF': ExLlamav2_HF_loader,
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'AutoGPTQ': AutoGPTQ_loader,
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'HQQ': HQQ_loader,
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'HQQ': HQQ_loader,
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'TensorRT-LLM': TensorRT_LLM_loader,
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'TensorRT-LLM': TensorRT_LLM_loader,
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}
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}
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@ -302,12 +302,6 @@ def llamacpp_HF_loader(model_name):
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return model
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return model
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def AutoGPTQ_loader(model_name):
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import modules.AutoGPTQ_loader
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return modules.AutoGPTQ_loader.load_quantized(model_name)
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def ExLlamav2_loader(model_name):
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def ExLlamav2_loader(model_name):
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from modules.exllamav2 import Exllamav2Model
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from modules.exllamav2 import Exllamav2Model
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@ -321,9 +315,21 @@ def ExLlamav2_HF_loader(model_name):
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return Exllamav2HF.from_pretrained(model_name)
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return Exllamav2HF.from_pretrained(model_name)
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def AutoGPTQ_loader(model_name):
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try:
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import modules.AutoGPTQ_loader
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except ModuleNotFoundError:
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raise ModuleNotFoundError("Failed to import 'autogptq'. Please install it manually following the instructions in the AutoGPTQ GitHub repository.")
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return modules.AutoGPTQ_loader.load_quantized(model_name)
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def HQQ_loader(model_name):
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def HQQ_loader(model_name):
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from hqq.core.quantize import HQQBackend, HQQLinear
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try:
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from hqq.models.hf.base import AutoHQQHFModel
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from hqq.core.quantize import HQQBackend, HQQLinear
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from hqq.models.hf.base import AutoHQQHFModel
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except ModuleNotFoundError:
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raise ModuleNotFoundError("Failed to import 'hqq'. Please install it manually following the instructions in the HQQ GitHub repository.")
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logger.info(f"Loading HQQ model with backend: \"{shared.args.hqq_backend}\"")
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logger.info(f"Loading HQQ model with backend: \"{shared.args.hqq_backend}\"")
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@ -334,7 +340,10 @@ def HQQ_loader(model_name):
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def TensorRT_LLM_loader(model_name):
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def TensorRT_LLM_loader(model_name):
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from modules.tensorrt_llm import TensorRTLLMModel
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try:
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from modules.tensorrt_llm import TensorRTLLMModel
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except ModuleNotFoundError:
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raise ModuleNotFoundError("Failed to import 'tensorrt_llm'. Please install it manually following the instructions in the TensorRT-LLM GitHub repository.")
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model = TensorRTLLMModel.from_pretrained(model_name)
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model = TensorRTLLMModel.from_pretrained(model_name)
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return model
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return model
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