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artidoro / qlora

QLoRA: Efficient Finetuning of Quantized LLMs
https://arxiv.org/abs/2305.14314
MIT License
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RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling `cublasCreate(handle)` #280

Open Juanerx opened 9 months ago

Juanerx commented 9 months ago

I followed the instructions to fine-tune llama2-7b by typing the command python qlora.py --model_name_or_path ~/models/llama-2-7b/. But I got the following error:

Traceback (most recent call last): File "qlora.py", line 841, in train() File "qlora.py", line 803, in train train_result = trainer.train() File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/transformers/trainer.py", line 1539, in train return inner_training_loop( File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/transformers/trainer.py", line 1809, in _inner_training_loop tr_loss_step = self.training_step(model, inputs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/transformers/trainer.py", line 2654, in training_step loss = self.compute_loss(model, inputs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/transformers/trainer.py", line 2679, in compute_loss outputs = model(inputs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl return forward_call(args, kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/peft/peft_model.py", line 922, in forward return self.base_model( File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl return forward_call(*args, *kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/accelerate/hooks.py", line 165, in new_forward output = old_forward(args, kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/transformers/models/llama/modeling_llama.py", line 806, in forward outputs = self.model( File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl return forward_call(*args, *kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/transformers/models/llama/modeling_llama.py", line 685, in forward layer_outputs = torch.utils.checkpoint.checkpoint( File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/_compile.py", line 24, in inner return torch._dynamo.disable(fn, recursive)(args, kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 328, in _fn return fn(*args, kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner return fn(*args, kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/utils/checkpoint.py", line 451, in checkpoint return CheckpointFunction.apply(function, preserve, args) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/autograd/function.py", line 539, in apply return super().apply(args, kwargs) # type: ignore[misc] File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/utils/checkpoint.py", line 230, in forward outputs = run_function(args) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/transformers/models/llama/modeling_llama.py", line 681, in custom_forward return module(inputs, output_attentions, None) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl return forward_call(*args, kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/accelerate/hooks.py", line 165, in new_forward output = old_forward(*args, *kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/transformers/models/llama/modeling_llama.py", line 408, in forward hidden_states, self_attn_weights, present_key_value = self.self_attn( File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl return self._call_impl(args, kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl return forward_call(*args, kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/accelerate/hooks.py", line 165, in new_forward output = old_forward(*args, *kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward query_states = self.q_proj(hidden_states) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl return self._call_impl(args, kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl return forward_call(*args, *kwargs) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/peft/tuners/lora.py", line 1123, in forward result = super().forward(x) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/bitsandbytes/nn/modules.py", line 221, in forward out = bnb.matmul_4bit(x, self.weight.t(), bias=bias, quant_state=self.weight.quant_state) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/bitsandbytes/autograd/_functions.py", line 570, in matmul_4bit return MatMul4Bit.apply(A, B, out, bias, quant_state) File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/torch/autograd/function.py", line 539, in apply return super().apply(args, **kwargs) # type: ignore[misc] File "/home/lchen/miniconda3/envs/qlora/lib/python3.8/site-packages/bitsandbytes/autograd/_functions.py", line 515, in forward output = torch.nn.functional.linear(A, F.dequantize_4bit(B, state).to(A.dtype).t(), bias) RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling `cublasCreate(handle)

Edenzzzz commented 5 months ago

This is typically out of memory error.