[Bug]: MLA Warnings when using FP8 KV cache in v0.7.1

[Syst3m1cAn0maly]

Your current environment

The output of `python collect_env.py`

Your output of `python collect_env.py` here

Model Input Dumps

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🐛 Describe the bug

Since v0.7.1, there are a lot of warnings when using fp8 KV cache on models quantized with llm-compressor :

WARNING 02-02 22:55:17 config.py:991] compressed-tensors MLA support requires fp8 activations and weights in group 'group_0', but got activations type 'float' and weights type 'float'.
WARNING 02-02 22:55:17 config.py:991] Full config: {'config_groups': {'group_0': {'input_activations': {'actorder': None, 'block_structure': None, 'dynamic': False, 'group_size': None, 'num_bits': 8, 'observer': 'minmax', 'observer_kwargs': {}, 'strategy': 'tensor', 'symmetric': True, 'type': 'float'}, 'output_activations': None, 'targets': ['Linear'], 'weights': {'actorder': None, 'block_structure': None, 'dynamic': False, 'group_size': None, 'num_bits': 8, 'observer': 'minmax', 'observer_kwargs': {}, 'strategy': 'tensor', 'symmetric': True, 'type': 'float'}}}, 'format': 'float-quantized', 'global_compression_ratio': 1.462046196596282, 'ignore': ['lm_head'], 'kv_cache_scheme': {'actorder': None, 'block_structure': None, 'dynamic': False, 'group_size': None, 'num_bits': 8, 'observer': 'minmax', 'observer_kwargs': {}, 'strategy': 'tensor', 'symmetric': True, 'type': 'float'}, 'quant_method': 'compressed-tensors', 'quantization_status': 'compressed'}

it has been introduced with this PR :
[Attention] Deepseek v3 MLA support with FP8 compute #12601

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[LucasWilkinson]

should be fixed by: #12704