feat: Make saved state more compact on-disk (#1296)

* State load/save changes

- Only store up to `n_tokens` logits instead of full `(n_ctx, n_vocab)`
  sized array.
  - Difference between ~350MB and ~1500MB for example prompt with ~300
    tokens (makes sense lol)
- Auto-formatting changes

* Back out formatting changes

Author: tc-wolf

llama_cpp/llama.py

@@ -18,6 +18,7 @@
     Iterator,
     Deque,
     Callable,
+    Dict,
 )
 from collections import deque
 from pathlib import Path
@@ -1791,7 +1792,7 @@ def save_state(self) -> LlamaState:
                 file=sys.stderr,
             )
         return LlamaState(
-            scores=self.scores.copy(),
+            scores=self._scores.copy(),
             input_ids=self.input_ids.copy(),
             n_tokens=self.n_tokens,
             llama_state=bytes(llama_state_compact),
@@ -1800,7 +1801,9 @@ def save_state(self) -> LlamaState:
 
     def load_state(self, state: LlamaState) -> None:
         assert self._ctx.ctx is not None
-        self.scores = state.scores.copy()
+        # Only filling in up to `n_tokens` and then zero-ing out the rest
+        self.scores[: state.n_tokens, :] = state.scores.copy()
+        self.scores[state.n_tokens :, :] = 0.0
         self.input_ids = state.input_ids.copy()
         self.n_tokens = state.n_tokens
         state_size = state.llama_state_size
@@ -1951,7 +1954,6 @@ def from_pretrained(
                 local_dir_use_symlinks=local_dir_use_symlinks,
                 cache_dir=cache_dir,
                 local_files_only=True,
-
             )
         else:
             model_path = os.path.join(local_dir, filename)