llm_perf/benchmark_runners/cpu/update_llm_perf_cpu_onnxruntime.py [76:94]:
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            quantization_config=quant_config,
            model_kwargs={"trust_remote_code": True},
        )

        return BenchmarkConfig(
            name=f"{weights_config}-{attn_implementation}-{self.backend}",
            scenario=scenario_config,
            launcher=launcher_config,
            backend=backend_config,
        )

    def _get_weights_configs(self, subset) -> Dict[str, Dict[str, Any]]:
        if subset == "unquantized":
            return {
                "float32": {
                    "torch_dtype": "float32",
                    "quant_scheme": None,
                    "quant_config": {},
                },
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llm_perf/benchmark_runners/cpu/update_llm_perf_cpu_openvino.py [74:92]:
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            quantization_config=quant_config,
            model_kwargs={"trust_remote_code": True},
        )

        return BenchmarkConfig(
            name=f"{weights_config}-{attn_implementation}-{self.backend}",
            scenario=scenario_config,
            launcher=launcher_config,
            backend=backend_config,
        )

    def _get_weights_configs(self, subset) -> Dict[str, Dict[str, Any]]:
        if subset == "unquantized":
            return {
                "float32": {
                    "torch_dtype": "float32",
                    "quant_scheme": None,
                    "quant_config": {},
                },
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