diff --git a/llama_cpp/llama.py b/llama_cpp/llama.py
index 7f7abaa..f46d741 100644
--- a/llama_cpp/llama.py
+++ b/llama_cpp/llama.py
@@ -19,6 +19,9 @@ class Llama:
     ):
         self.model_path = model_path
 
+        self.last_n = 64
+        self.max_chunk_size = 32
+
         self.params = llama_cpp.llama_context_default_params()
         self.params.n_ctx = n_ctx
         self.params.n_parts = n_parts
@@ -59,21 +62,32 @@ class Llama:
             self.ctx, prompt.encode("utf-8"), self.tokens, self.params.n_ctx, True
         )
 
-        if prompt_tokens + max_tokens > self.params.n_ctx:
+        if prompt_tokens + max_tokens > llama_cpp.llama_n_ctx(self.ctx):
             raise ValueError(
                 f"Requested tokens exceed context window of {self.params.n_ctx}"
             )
 
-        for i in range(prompt_tokens):
-            llama_cpp.llama_eval(
-                self.ctx, (llama_cpp.c_int * 1)(self.tokens[i]), 1, i, self.n_threads
+        # Process prompt in chunks to avoid running out of memory
+        for i in range(0, prompt_tokens, self.max_chunk_size):
+            chunk = self.tokens[i : min(prompt_tokens, i + self.max_chunk_size)]
+            rc = llama_cpp.llama_eval(
+                self.ctx,
+                (llama_cpp.llama_token * len(chunk))(*chunk),
+                len(chunk),
+                max(0, i - 1),
+                self.n_threads,
             )
+            if rc != 0:
+                raise RuntimeError(f"Failed to evaluate prompt: {rc}")
 
         for i in range(max_tokens):
+            tokens_seen = prompt_tokens + completion_tokens
+            last_n_tokens = [0] * max(0, self.last_n - tokens_seen)  + [self.tokens[j] for j in range(max(tokens_seen - self.last_n, 0), tokens_seen)]
+
             token = llama_cpp.llama_sample_top_p_top_k(
                 self.ctx,
-                self.tokens,
-                prompt_tokens + completion_tokens,
+                (llama_cpp.llama_token * len(last_n_tokens))(*last_n_tokens),
+                len(last_n_tokens),
                 top_k=top_k,
                 top_p=top_p,
                 temp=temperature,
@@ -82,7 +96,6 @@ class Llama:
             if token == llama_cpp.llama_token_eos():
                 finish_reason = "stop"
                 break
-            # text += llama_cpp.llama_token_to_str(self.ctx, token).decode("utf-8")
             text += llama_cpp.llama_token_to_str(self.ctx, token)
             self.tokens[prompt_tokens + i] = token
             completion_tokens += 1
@@ -96,7 +109,7 @@ class Llama:
 
             llama_cpp.llama_eval(
                 self.ctx,
-                (llama_cpp.c_int * 1)(self.tokens[prompt_tokens + i]),
+                (llama_cpp.llama_token * 1)(self.tokens[prompt_tokens + i]),
                 1,
                 prompt_tokens + completion_tokens,
                 self.n_threads,