llamafactory-cli train \
    --stage sft \
    --do_train True \
    --model_name_or_path /root/autodl-tmp/models/Ministral-3-3B-Instruct-2512 \
    --preprocessing_num_workers 16 \
    --finetuning_type lora \
    --template ministral3 \
    --flash_attn auto \
    --dataset_dir data \
    --dataset mydata \
    --cutoff_len 18000 \
    --learning_rate 8e-05 \
    --num_train_epochs 3.0 \
    --max_samples 100000 \
    --per_device_train_batch_size 1 \
    --gradient_accumulation_steps 16 \
    --lr_scheduler_type cosine \
    --max_grad_norm 1.0 \
    --logging_steps 5 \
    --save_steps 100 \
    --warmup_steps 50 \
    --packing False \
    --enable_thinking True \
    --report_to none \
    --output_dir saves/Ministral-3-3B-Instruct-2512/lora/train_2025-12-30-19-09-22 \
    --bf16 True \
    --plot_loss True \
    --trust_remote_code True \
    --ddp_timeout 180000000 \
    --include_num_input_tokens_seen True \
    --optim adamw_torch \
    --lora_rank 8 \
    --lora_alpha 16 \
    --lora_dropout 0 \
    --loraplus_lr_ratio 16 \
    --lora_target all \
    --freeze_vision_tower True \
    --freeze_multi_modal_projector True \
    --image_max_pixels 589824 \
    --image_min_pixels 1024 \
    --video_max_pixels 65536 \
    --video_min_pixels 256

[INFO|2025-12-30 19:45:34] llamafactory.hparams.parser:465 >> Process rank: 0, world size: 1, device: cuda:0, distributed training: False, compute dtype: torch.bfloat16

Traceback (most recent call last):
  File "/root/autodl-tmp/LLaMA-Factory/src/llamafactory/model/loader.py", line 78, in load_tokenizer
    tokenizer = AutoTokenizer.from_pretrained(
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/llama-factory/lib/python3.11/site-packages/transformers/models/auto/tokenization_auto.py", line 1137, in from_pretrained
    raise ValueError(
ValueError: Tokenizer class TokenizersBackend does not exist or is not currently imported.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/root/miniconda3/envs/llama-factory/bin/llamafactory-cli", line 7, in <module>
    sys.exit(main())
             ^^^^^^
  File "/root/autodl-tmp/LLaMA-Factory/src/llamafactory/cli.py", line 24, in main
    launcher.launch()
  File "/root/autodl-tmp/LLaMA-Factory/src/llamafactory/launcher.py", line 157, in launch
    run_exp()
  File "/root/autodl-tmp/LLaMA-Factory/src/llamafactory/train/tuner.py", line 126, in run_exp
    _training_function(config={"args": args, "callbacks": callbacks})
  File "/root/autodl-tmp/LLaMA-Factory/src/llamafactory/train/tuner.py", line 88, in _training_function
    run_sft(model_args, data_args, training_args, finetuning_args, generating_args, callbacks)
  File "/root/autodl-tmp/LLaMA-Factory/src/llamafactory/train/sft/workflow.py", line 49, in run_sft
    tokenizer_module = load_tokenizer(model_args)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/autodl-tmp/LLaMA-Factory/src/llamafactory/model/loader.py", line 86, in load_tokenizer
    tokenizer = AutoTokenizer.from_pretrained(
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/llama-factory/lib/python3.11/site-packages/transformers/models/auto/tokenization_auto.py", line 1137, in from_pretrained
    raise ValueError(
ValueError: Tokenizer class TokenizersBackend does not exist or is not currently imported.