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QuantoQuantizedCache is not working #40099

@maxjeblick

Description

@maxjeblick

System Info

  • transformers version: 4.56.0.dev0
  • Platform: Linux-6.14.0-27-generic-x86_64-with-glibc2.39
  • Python version: 3.12.3
  • Huggingface_hub version: 0.34.3
  • Safetensors version: 0.6.1
  • Accelerate version: 1.9.0
  • Accelerate config: not found
  • DeepSpeed version: not installed
  • PyTorch version (accelerator?): 2.7.1+cu126 (CUDA)
  • Tensorflow version (GPU?): not installed (NA)
  • Flax version (CPU?/GPU?/TPU?): not installed (NA)
  • Jax version: not installed
  • JaxLib version: not installed
  • Using distributed or parallel set-up in script?:
  • Using GPU in script?: Yes
  • GPU type: NVIDIA RTX A6000

Who can help?

@manueldeprada @SunMarc @MekkCyber

Information

  • The official example scripts
  • My own modified scripts

Tasks

  • An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
  • My own task or dataset (give details below)

Reproduction

I'm using the ame script as in the QuantoQuantizedCache docstring

from transformers import AutoTokenizer, AutoModelForCausalLM, QuantoQuantizedCache

model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-0.5B-Instruct")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2-0.5B-Instruct")

inputs = tokenizer(text="My name is Qwen2", return_tensors="pt")

past_key_values = QuantoQuantizedCache(config=model.config, nbits=4)
outputs = model(**inputs, past_key_values=past_key_values, use_cache=True)
outputs.past_key_values

which yields to

Traceback (most recent call last):
  File "/home/mjeblick/.config/JetBrains/PyCharm2025.2/scratches/scratch_41.py", line 8, in <module>
    past_key_values = QuantoQuantizedCache(config=model.config, nbits=4)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/mnt/2tb/PyCharmProjects/kvpress/.venv/lib/python3.12/site-packages/transformers/cache_utils.py", line 1305, in __init__
    super().__init__("quanto", config, nbits, axis_key, axis_value, q_group_size, residual_length)
  File "/mnt/2tb/PyCharmProjects/kvpress/.venv/lib/python3.12/site-packages/transformers/cache_utils.py", line 1257, in __init__
    layer_class(nbits, axis_key, axis_value, q_group_size, residual_length)
  File "/mnt/2tb/PyCharmProjects/kvpress/.venv/lib/python3.12/site-packages/transformers/cache_utils.py", line 587, in __init__
    super().__init__(
  File "/mnt/2tb/PyCharmProjects/kvpress/.venv/lib/python3.12/site-packages/transformers/cache_utils.py", line 515, in __init__
    super().__init__(self)
TypeError: CacheLayerMixin.__init__() takes 1 positional argument but 2 were given

(I'm using optimum_quanto-0.2.7, I don't think, however, the version matters here, as it seems to be an inheritance issue).

Expected behavior

QuantoQuantizedCache works as expected.

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