diff --git a/bark/generation.py b/bark/generation.py
index c97dead..fa54388 100644
--- a/bark/generation.py
+++ b/bark/generation.py
@@ -21,6 +21,7 @@ if (
     torch.cuda.is_available() and
     hasattr(torch.cuda, "amp") and
     hasattr(torch.cuda.amp, "autocast") and
+    hasattr(torch.cuda, "is_bf16_supported") and
     torch.cuda.is_bf16_supported()
 ):
     autocast = funcy.partial(torch.cuda.amp.autocast, dtype=torch.bfloat16)
@@ -80,23 +81,39 @@ default_cache_dir = os.path.join(os.path.expanduser("~"), ".cache")
 CACHE_DIR = os.path.join(os.getenv("XDG_CACHE_HOME", default_cache_dir), "suno", "bark_v0")
 
 
+USE_SMALL_MODELS = os.environ.get("SUNO_USE_SMALL_MODELS", False)
+
 REMOTE_BASE_URL = "https://dl.suno-models.io/bark/models/v0/"
-REMOTE_MODEL_PATHS = {
-    "text": {
-        "path": os.environ.get("SUNO_TEXT_MODEL_PATH", os.path.join(REMOTE_BASE_URL, "text_2.pt")),
-        "checksum": "54afa89d65e318d4f5f80e8e8799026a",
-    },
-    "coarse": {
-        "path": os.environ.get(
-            "SUNO_COARSE_MODEL_PATH", os.path.join(REMOTE_BASE_URL, "coarse_2.pt")
-        ),
-        "checksum": "8a98094e5e3a255a5c9c0ab7efe8fd28",
-    },
-    "fine": {
-        "path": os.environ.get("SUNO_FINE_MODEL_PATH", os.path.join(REMOTE_BASE_URL, "fine_2.pt")),
-        "checksum": "59d184ed44e3650774a2f0503a48a97b",
-    },
-}
+if USE_SMALL_MODELS:
+    REMOTE_MODEL_PATHS = {
+        "text": {
+            "path": os.path.join(REMOTE_BASE_URL, "text.pt"),
+            "checksum": "b3e42bcbab23b688355cd44128c4cdd3",
+        },
+        "coarse": {
+            "path": os.path.join(REMOTE_BASE_URL, "coarse.pt"),
+            "checksum": "5fe964825e3b0321f9d5f3857b89194d",
+        },
+        "fine": {
+            "path": os.path.join(REMOTE_BASE_URL, "fine.pt"),
+            "checksum": "5428d1befe05be2ba32195496e58dc90",
+        },
+    }
+else:
+    REMOTE_MODEL_PATHS = {
+        "text": {
+            "path": os.path.join(REMOTE_BASE_URL, "text_2.pt"),
+            "checksum": "54afa89d65e318d4f5f80e8e8799026a",
+        },
+        "coarse": {
+            "path": os.path.join(REMOTE_BASE_URL, "coarse_2.pt"),
+            "checksum": "8a98094e5e3a255a5c9c0ab7efe8fd28",
+        },
+        "fine": {
+            "path": os.path.join(REMOTE_BASE_URL, "fine_2.pt"),
+            "checksum": "59d184ed44e3650774a2f0503a48a97b",
+        },
+    }
 
 
 if not hasattr(torch.nn.functional, 'scaled_dot_product_attention'):