diff --git a/tpu_mtj_backend.py b/tpu_mtj_backend.py
index db31b902..458a67bb 100644
--- a/tpu_mtj_backend.py
+++ b/tpu_mtj_backend.py
@@ -547,7 +547,7 @@ class PenalizingCausalTransformer(CausalTransformer):
             compiling_callback()
             numseqs = numseqs_aux.shape[0]
             # These are the tokens that we don't want the AI to ever write
-            self.badwords = jnp.array(vars.badwordsids).squeeze()
+            badwords = jnp.array(vars.badwordsids).squeeze()
             @hk.transform
             def generate_sample(context, ctx_length):
                 # Give the initial context to the transformer
@@ -605,7 +605,7 @@ class PenalizingCausalTransformer(CausalTransformer):
                     # Remove any tokens in the badwords list by setting
                     # their logits to negative infinity which effectively
                     # makes their probabilities of being chosen zero
-                    logits = logits.at[self.badwords].set(-jnp.inf)
+                    logits = logits.at[badwords].set(-jnp.inf)
                     # Use the sampler (kobold_sample_static) to pick one token
                     # based on the logits array as a 0D uint32 array
                     # (higher logit means higher probability of being
@@ -1140,9 +1140,9 @@ def load_model(path: str, driver_version="tpu_driver0.1_dev20210607", hf_checkpo
     tpu_address = tpu_address.replace("grpc://", "")
     tpu_address_without_port = tpu_address.split(':', 1)[0]
     url = f'http://{tpu_address_without_port}:8475/requestversion/{driver_version}'
+    requests.post(url)
     config.FLAGS.jax_xla_backend = "tpu_driver"
     config.FLAGS.jax_backend_target = "grpc://" + tpu_address
-    requests.post(url)
     spinner.terminate()
     print()