Remove smaller limit for legacy bfloat16 serialization

src/petals/client/remote_forward_backward.py

@@ -104,8 +104,7 @@ async def run_remote_forward(
 
     # call RPC on remote server
     size = sum(t.element_size() * t.nelement() for t in inputs)
-    forward_fn = _forward_stream if size > MAX_UNARY_PAYLOAD_SIZE // 2 else _forward_unary
-    # Hotfix: we use "// 2" since hivemind==1.1.5 serializes bfloat16 tensors in float32, so they take 2x more space
+    forward_fn = _forward_stream if size > MAX_UNARY_PAYLOAD_SIZE else _forward_unary
     deserialized_outputs = await forward_fn(uid, serialized_tensors, stub, config, metadata=metadata, **kwargs)
     return nested_pack(deserialized_outputs, structure=rpc_info["outputs_schema"])