Fix target matching for fused layers with compressed-tensors

[eldarkurtic]

Without this PR

Quantizing models with llm-compressor and a recipe that explicitly lists names of layers produces a model that is not loadable by vLLM (i.e. vllm serve <model> fails with raise ValueError(f"Unable to find matching target for {module} in the ...).

Example recipe:

recipe = """
quantization_stage:
  run_type: oneshot
  quantization_modifiers:
    GPTQModifier:
      ignore: ["lm_head"]
      config_groups:
        group_0:
          weights:
            num_bits: 4
            type: "int"
            symmetric: true
            strategy: "group"
            group_size: 128
          targets: [
            "model.layers.0.mlp.down_proj",
            "model.layers.2.mlp.down_proj",
            "model.layers.3.mlp.down_proj",
            "model.layers.4.mlp.down_proj",
            "model.layers.5.mlp.down_proj",
            "model.layers.6.mlp.down_proj",
            "model.layers.7.mlp.down_proj",
            "model.layers.8.mlp.down_proj",
            "model.layers.9.mlp.down_proj",
            "model.layers.10.mlp.down_proj",
            "model.layers.11.mlp.down_proj",
            "model.layers.12.mlp.down_proj",
            "model.layers.13.mlp.down_proj",
            "model.layers.14.mlp.down_proj",
            "model.layers.15.mlp.down_proj",
            "model.layers.16.mlp.down_proj",
            "model.layers.17.mlp.down_proj",
            "model.layers.19.mlp.down_proj",
            "model.layers.21.mlp.down_proj",
            "model.layers.22.mlp.down_proj",
            .
            .
            .
          ]
"""

To reproduce the vLLM error:

vllm serve nm-testing/eldar-test

With this PR

Models are loaded correctly without any errors.

[github-actions]

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[mgoin]

LGTM!