enable slots=True for dataclasses

nanovllm/config.py

@@ -3,7 +3,7 @@ from dataclasses import dataclass
 from transformers import AutoConfig
 
 
-@dataclass
+@dataclass(slots=True)
 class Config:
     model: str
     max_num_batched_tokens: int = 16384

nanovllm/sampling_params.py

@@ -1,7 +1,7 @@
 from dataclasses import dataclass
 
 
-@dataclass
+@dataclass(slots=True)
 class SamplingParams:
     temperature: float = 1.0
     max_tokens: int = 64

nanovllm/utils/context.py

@@ -2,7 +2,7 @@ from dataclasses import dataclass
 import torch
 
 
-@dataclass
+@dataclass(slots=True)
 class Context:
     is_prefill: bool = False
     cu_seqlens_q: torch.Tensor | None = None