Add new export LLM config

ghstack-source-id: 999f28a
Pull Request resolved: pytorch/executorch#11026

Author: jackzhxng

examples/models/llama/config/llm_config.py

@@ -23,7 +23,6 @@ class BaseConfig:
     These are specific to the specific model, e.g. whether it’s Qwen3 0.6B or Phi-4-mini.
     for each of these different models, you can expect each of these fields to change.
     """
-
     model_class: str = "llama"
     params: Optional[str] = None
     checkpoint: Optional[str] = None
@@ -41,7 +40,6 @@ class ModelConfig:
     optimizations / actual configurations. The same ModelConfig can be applied
     to different models.
     """
-
     dtype_override: str = "fp32"
     enable_dynamic_shape: bool = True
     use_shared_embedding: bool = False
@@ -68,6 +66,17 @@ class ExportConfig:
 
 
 @dataclass
+<<<<<<< HEAD
+=======
+class KVCacheConfig:
+    use_kv_cache: Optional[bool] = None
+    quantize_kv_cache: Optional[bool] = None
+    local_global_attention: List[int] = None
+    # ...potentially more in the future such as cache eviction strategy
+
+
+@dataclass
+>>>>>>> ec85c4be2 (Add new export LLM config)
 class DebugConfig:
     profile_memory: bool = False
     profile_path: Optional[str] = None