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View Code? Open in Web Editor NEW简单易懂的LLaMA微调指南。
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A100 Memory
Thanks for open source!
What version of A100 is used in the experiment, 40G or 80G?
如何实现多节点fsdp
您好，我在论文中看到你们在pretrain阶段用32张卡训练。我想请问如何用trainer fsdp实现多节点训练呢。例如我想在2个节点16个A100上训练，应该怎么用trainer实现，模型是会切片分到16个gpu上吗？
使用苹果Mac Studio 192G微调怎么样，性能速度是否推荐呢？
微调数据集切换成自己的中文数据集之后出现报错：RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling `cublasCreate(handle)`
有朋友遇到过这种报错吗？
/opt/conda/conda-bld/pytorch_1682343995622/work/aten/src/ATen/native/cuda/Indexing.cu File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/peft/peft_model.py", line 678, in forward
:1146: indexSelectLargeIndex: block: [85,0,0], thread: [62,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
/opt/conda/conda-bld/pytorch_1682343995622/work/aten/src/ATen/native/cuda/Indexing.cu:1146: indexSelectLargeIndex: block: [85,0,0], thread: [63,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
return self.base_model(
^^^^^^^^^^^^^^^^
File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/transformers/models/llama/modeling_llama.py", line 809, in forward
outputs = self.model(
^^^^^^^^^^^
File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/transformers/models/llama/modeling_llama.py", line 690, in forward
layer_outputs = torch.utils.checkpoint.checkpoint(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/torch/utils/checkpoint.py", line 249, in checkpoint
return CheckpointFunction.apply(function, preserve, *args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/torch/autograd/function.py", line 506, in apply
return super().apply(*args, **kwargs) # type: ignore[misc]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/torch/utils/checkpoint.py", line 107, in forward
outputs = run_function(*args)
^^^^^^^^^^^^^^^^^^^
File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/transformers/models/llama/modeling_llama.py", line 686, in custom_forward
return module(*inputs, past_key_value, output_attentions)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/transformers/models/llama/modeling_llama.py", line 413, in forward
hidden_states, self_attn_weights, present_key_value = self.self_attn(
^^^^^^^^^^^^^^^
File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/transformers/models/llama/modeling_llama.py", line 310, in forward
query_states = self.q_proj(hidden_states)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/miniconda3/envs/pt2/lib/python3.11/site-packages/peft/tuners/lora.py", line 565, in forward
result = F.linear(x, transpose(self.weight, self.fan_in_fan_out), bias=self.bias)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling `cublasCreate(handle)`
0%| | 0/5000 [00:01<?, ?it/s]
test_sample.py运行报错，貌似是device不一样，untimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument index in method wrapper_CUDA_gather)
attention mask for different documents in dataset chunk
Hi chaoyi,
Thanks for your great work. I have a question about dataset tokenization in the following code.
Finetune_LLAMA/Data_sample/tokenize_dataset.py
Lines 38 to 47 in 1d4280e
From my understanding I think this data preprocessing will cause the fact that different documents might be included in the same data chunk. For example, the first document might take 512 tokens while the second document takes 128 tokens in a chunk of 640 tokens. In this case, I think the generation for the second document should not see the first document, so we might need to use an attention mask to mask the first documents for the second document generation. Am I correct?
你好，请问最低需要什么等级的显卡呢，必须A100吗，我的显存目前完全不够
。。
4090-24G 是否能微调呢
convert_to_ds_params.py doesn't generate tokenizer
convert_to_ds_params.py only generates llama-7b folder and .pt files in it. But does not generate tokenizer.
But the param tokenizer_path of tokenize_dataset.py needs tokenizer.
So how can I get tokenizer?
咱们这个是否支持出LLAMA之外的其他模型呢
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