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recurrentgemma-9b

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No matter what I do, this model doesn't want to start.

import os
from transformers import AutoTokenizer, AutoModelForCausalLM

os.environ['PYTORCH_CUDA_ALLOC_CONF'] = 'max_split_size_mb:1024'

# Замените 'ВАШ_ТОКЕН' на фактический токен аутентификации, который вы получили.
tokenizer = AutoTokenizer.from_pretrained("google/recurrentgemma-9b", token='***')
model = AutoModelForCausalLM.from_pretrained("google/recurrentgemma-9b", token='***')

model = model.to("cuda")

input_text = "Write me a poem about Machine Learning."
input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")

outputs = model.generate(**input_ids, max_new_tokens=150)
print(tokenizer.decode(outputs[0]))

Windows 11, 32000mb RAM, 4070 ti 12000mb videomemory.

PS G:\AI\GoogleAI\RecurrentGemmaF9bit> python s.py
Loading checkpoint shards: 100%|███████████████████████████████████████████████████████████████████████████| 4/4 [01:12<00:00, 18.12s/it]
Traceback (most recent call last):
  File "G:\AI\GoogleAI\RecurrentGemmaF9bit\s.py", line 10, in <module>
    model = model.to("cuda")
            ^^^^^^^^^^^^^^^^
  File "C:\Users\user\AppData\Local\Programs\Python\Python311\Lib\site-packages\transformers\modeling_utils.py", line 2724, in to
    return super().to(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\user\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1145, in to
    return self._apply(convert)
           ^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\user\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
    module._apply(fn)
  File "C:\Users\user\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
    module._apply(fn)
  File "C:\Users\user\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
    module._apply(fn)
  [Previous line repeated 2 more times]
  File "C:\Users\user\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 820, in _apply
    param_applied = fn(param)
                    ^^^^^^^^^
  File "C:\Users\user\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1143, in convert
    return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 64.00 MiB (GPU 0; 11.99 GiB total capacity; 26.02 GiB already allocated; 0 bytes free; 26.02 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF