diff --git a/examples/gpt2.py b/examples/gpt2.py
index ff4077ea6b..4c628c8fe6 100644
--- a/examples/gpt2.py
+++ b/examples/gpt2.py
@@ -1,11 +1,8 @@
 #!/usr/bin/env python3
-import os
+import os, argparse
 from typing import Optional, Union
-import argparse
-import numpy as np
 import tiktoken
-from tinygrad import Tensor, TinyJit, Device, GlobalCounters, Variable
-from tinygrad.dtype import dtypes
+from tinygrad import Tensor, TinyJit, Device, GlobalCounters, Variable, dtypes
 from tinygrad.ops import UOp
 from tinygrad.helpers import Timing, DEBUG, JIT, getenv, fetch, colored, trange
 from tinygrad.nn import Embedding, Linear, LayerNorm
@@ -218,7 +215,6 @@ if __name__ == "__main__":
 
   if args.seed is not None:
     Tensor.manual_seed(args.seed)
-    np.random.seed(args.seed)
 
   print(f"using {args.model_size}")
   gpt2 = GPT2.build_gguf(args.model_size) if args.model_size.startswith("gpt2_gguf_") else GPT2.build(args.model_size)
diff --git a/examples/llama.py b/examples/llama.py
index f07b0f6539..67ad7ec3a0 100755
--- a/examples/llama.py
+++ b/examples/llama.py
@@ -6,8 +6,6 @@
 from pathlib import Path
 from typing import List, Optional
 import argparse, json
-import numpy as np
-np.set_printoptions(linewidth=200)
 from tinygrad import Tensor, Device, GlobalCounters, nn
 from tinygrad.helpers import Context, Timing, Profiling, DEBUG, JIT, getenv, colored
 from tinygrad.nn.state import safe_load, torch_load, load_state_dict, get_parameters
@@ -250,6 +248,8 @@ class LLaMa:
     self.tokenizer = tokenizer
 
   def greedy_until(self, prompt:str, until, max_length, temperature):
+    # only used in old eval script
+    import numpy as np
     toks = [self.tokenizer.bos_id()] + self.tokenizer.encode(prompt)
     start_pos = 0
     for i in range(max_length):