export norms as f32

This commit is contained in:
slaren 2024-04-06 22:33:36 +02:00
parent 26e8f23bf3
commit ce9413d849

View file

@ -160,7 +160,7 @@ class Model(ABC):
data = data.astype(np.float32) data = data.astype(np.float32)
# TODO: Why cant we use these float16 as-is? There should be not reason to store float16 as float32 # TODO: Why cant we use these float16 as-is? There should be not reason to store float16 as float32
if self.ftype == 1 and data_dtype == np.float16 and n_dims == 1: if self.ftype == 1 and data_dtype == np.float16 and (n_dims == 1 or new_name.endswith("_norm.weight")):
data = data.astype(np.float32) data = data.astype(np.float32)
# if f16 desired, convert any float32 2-dim weight tensors to float16 # if f16 desired, convert any float32 2-dim weight tensors to float16