diff --git a/examples/llama3.py b/examples/llama3.py
index 1710823687..5d9ff40cd4 100644
--- a/examples/llama3.py
+++ b/examples/llama3.py
@@ -142,8 +142,7 @@ def build_transformer(model_path: Path, model_size="8B", quantize=None, device=N
   if quantize == "int8": linear = Int8Linear
   elif quantize == "nf4": linear = NF4Linear(64)
   else: linear = nn.Linear
-  with Context(THREEFRY=0):
-    model = Transformer(**MODEL_PARAMS[model_size]["args"], linear=linear, max_context=8192, jit=True)
+  model = Transformer(**MODEL_PARAMS[model_size]["args"], linear=linear, max_context=8192, jit=True)
 
   # load weights
   if model_path.is_dir():
diff --git a/tinygrad/codegen/transcendental.py b/tinygrad/codegen/transcendental.py
index 9be9125535..13471a2d7f 100644
--- a/tinygrad/codegen/transcendental.py
+++ b/tinygrad/codegen/transcendental.py
@@ -17,7 +17,7 @@ def dfdiv2_f2_f2_f2(nx:UOp, ny:UOp, dx:UOp, dy:UOp) -> Tuple[UOp, UOp]:
   qy = (ny - qx * dy) * t
   return qx, qy
 # *** helper functions for bit manipulation ***
-def significand_bits(d:DType) -> int: return {dtypes.float64: 52, dtypes.float32: 23, dtypes.float16: 10}[d]
+def significand_bits(d:DType) -> int: return dtypes.finfo(d)[1]
 def exponent_bias(d:DType) -> int: return {dtypes.float64: 1022, dtypes.float32: 126, dtypes.float16: 14}[d]
 def exponent_mask(d:DType) -> int: return {dtypes.float64: 0x7FF, dtypes.float32: 0xFF, dtypes.float16: 0x1F}[d]