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[GH-ISSUE #128] I use swift fine-tuning, infer test set reasoning on the following problems, ask for your help!! #106
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Originally created by @Jackson-cj on GitHub (Apr 7, 2025).
Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-VL2/issues/128
Ask for help, below is my relevant information, very grateful!!
[INFO:swift] Loading the model using model_dir: /remote-home/cs_acmis_hby/LLM/deepseek-vl2-merge01
[INFO:swift] local_repo_path: /root/.cache/modelscope/hub/_github/DeepSeek-VL2
Python version is above 3.10, patching the collections module.
Traceback (most recent call last):
File "/root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages/swift/cli/infer.py", line 5, in
infer_main()
File "/root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages/swift/llm/infer/infer.py", line 208, in infer_main
return SwiftInfer(args).main()
File "/root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages/swift/llm/infer/infer.py", line 35, in init
model, self.template = prepare_model_template(args)
File "/root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages/swift/llm/infer/utils.py", line 144, in prepare_model_template
model, processor = args.get_model_processor(**kwargs)
File "/root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages/swift/llm/argument/base_args/base_args.py", line 259, in get_model_processor
model, processor = get_model_tokenizer(**kwargs, model_kwargs=model_kwargs)
File "/root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages/swift/llm/model/register.py", line 497, in get_model_tokenizer
model, processor = get_function(model_dir, model_info, model_kwargs, load_model, **kwargs)
File "/root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages/swift/llm/model/model/deepseek.py", line 198, in get_model_tokenizer_deepseek_vl2
processor: DeepseekVLV2Processor = DeepseekVLV2Processor.from_pretrained(model_dir)
File "/root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages/transformers/processing_utils.py", line 465, in from_pretrained
args = cls._get_arguments_from_pretrained(pretrained_model_name_or_path, **kwargs)
File "/root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages/transformers/processing_utils.py", line 511, in _get_arguments_from_pretrained
args.append(attribute_class.from_pretrained(pretrained_model_name_or_path, **kwargs))
File "/root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2110, in from_pretrained
return cls._from_pretrained(
File "/root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2336, in _from_pretrained
tokenizer = cls(*init_inputs, **init_kwargs)
File "/root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages/transformers/models/llama/tokenization_llama_fast.py", line 156, in init
super().init(
File "/root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages/transformers/tokenization_utils_fast.py", line 114, in init
fast_tokenizer = TokenizerFast.from_file(fast_tokenizer_file)
Exception: data did not match any variant of untagged enum ModelWrapper at line 646517 column 3
Name: torch
Version: 2.0.1
Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
Home-page: https://pytorch.org/
Author: PyTorch Team
Author-email: packages@pytorch.org
License: BSD-3
Location: /root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages
Requires: filelock, jinja2, networkx, nvidia-cublas-cu11, nvidia-cuda-cupti-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-runtime-cu11, nvidia-cudnn-cu11, nvidia-cufft-cu11, nvidia-curand-cu11, nvidia-cusolver-cu11, nvidia-cusparse-cu11, nvidia-nccl-cu11, nvidia-nvtx-cu11, sympy, triton, typing-extensions
Required-by: accelerate, bitsandbytes, deepspeed, evalscope, ms-opencompass, ms-vlmeval, mteb, peft, sentence-transformers, timm, torchaudio, torchvision, triton, trl, xformers, xtuner
Name: transformers
Version: 4.47.1
Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Home-page: https://github.com/huggingface/transformers
Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)
Author-email: transformers@huggingface.co
License: Apache 2.0 License
Location: /root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages
Requires: filelock, huggingface-hub, numpy, packaging, pyyaml, regex, requests, safetensors, tokenizers, tqdm
Required-by: evalscope, ms-opencompass, ms-swift, ms-vlmeval, peft, sentence-transformers, transformers-stream-generator, trl, xtuner
Name: xformers
Version: 0.0.22
Summary: XFormers: A collection of composable Transformer building blocks.
Home-page: https://facebookresearch.github.io/xformers/
Author: Facebook AI Research
Author-email: oncall+xformers@xmail.facebook.com
License:
Location: /root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages
Requires: numpy, torch
Required-by:
Name: timm
Version: 1.0.14
Summary: PyTorch Image Models
Home-page: https://github.com/huggingface/pytorch-image-models
Author:
Author-email: Ross Wightman ross@huggingface.co
License: Apache-2.0
Location: /root/anaconda3/envs/deepseek-vl2/lib/python3.10/site-packages
Requires: huggingface_hub, pyyaml, safetensors, torch, torchvision
Required-by:
swift infer:
CUDA_VISIBLE_DEVICES=1,5,6,7
swift infer
--model /remote-home/cs_acmis_hby/LLM/deepseek-vl2-merge01
--val_dataset /remote-home/cs_acmis_hby/code/FT-LLM/galaxy_classification/dataset_02/test.jsonl
--infer_backend pt
--max_new_tokens 1024
--load_data_args true
--max_batch_size 8 \
@RaveN-Debugging commented on GitHub (May 12, 2025):
hi！Have you solved this problem??