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LLaMA-2-7B-32K

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I am very new to pytorch so this maybe a dumb question...
I am trying to finetune the 32k context model with LoRA on a single A100 gpu. Model has been configured to bf16:
model = AutoModelForCausalLM.from_pretrained(MODEL_ID, device_map='auto', trust_remote_code=True, torch_dtype=torch.bfloat16)

I have configured my tokenizer to return 8192 tokens.
return TOKENIZER(
text_to_tok,
truncation=True,
max_length=4096*2, # Long context
padding="max_length",
)
Optimizer: optimizer = torch.optim.AdamW(params=model.parameters(), lr=2e-6)
My batch size is set to 2. After 1 step of gradient decent I get this error: shape '[2, 8192, 4096]' is invalid for input of size 51109888
I have separately run a loop through my data to check if input shape is unequal to 8192, but that passes.