diff --git a/candle/ckpt_utils.py b/candle/ckpt_utils.py
index b051411..822883f 100644
--- a/candle/ckpt_utils.py
+++ b/candle/ckpt_utils.py
@@ -209,6 +209,9 @@ def scan_params(self, gParams):
         self.save_weights_only = self.param(
             "ckpt_save_weights_only", True, ParamType.BOOLEAN
         )
+        self.save_weights_file = self.param(
+            "ckpt_save_weights_file", True, ParamType.BOOLEAN
+        )
         self.checksum_enabled = self.param("ckpt_checksum", False, ParamType.BOOLEAN)
         self.keep_mode = self.param(
             "ckpt_keep_mode",
@@ -349,23 +352,25 @@ def write_model(self, dir_work, epoch):
         Do the I/O, report stats
         dir_work: A pathlib.Path
         """
-        self.model_file = dir_work / "model.h5"
-        self.debug("writing model to: '%s'" % self.relpath(self.model_file))
-        start = time.time()
-
-        # Call down to backend-specific model writer:
-        self.write_model_backend(self.model, epoch)
-
-        stop = time.time()
-        duration = stop - start
-        stats = os.stat(self.model_file)
-        MB = stats.st_size / (1024 * 1024)
-        rate = MB / duration
-        self.debug(
-            "model wrote: %0.3f MB in %0.3f seconds (%0.2f MB/s)."
-            % (MB, duration, rate)
-        )
-        self.checksum(dir_work)
+        if self.save_weights_file:
+            self.model_file = dir_work / "model.h5"
+            self.debug("writing model to: '%s'" %
+                       self.relpath(self.model_file))
+            start = time.time()
+
+            # Call down to backend-specific model writer:
+            self.write_model_backend(self.model, epoch)
+
+            stop = time.time()
+            duration = stop - start
+            stats = os.stat(self.model_file)
+            MB = stats.st_size / (1024 * 1024)
+            rate = MB / duration
+            self.debug(
+                "model wrote: %0.3f MB in %0.3f seconds (%0.2f MB/s)."
+                % (MB, duration, rate)
+            )
+            self.checksum(dir_work)
         self.write_json(dir_work / "ckpt-info.json", epoch)
 
     def checksum(self, dir_work):
@@ -387,8 +392,9 @@ def write_json(self, jsonfile, epoch):
         D["epoch"] = epoch
         D["save_best_metric"] = self.save_best_metric
         D["best_metric_last"] = self.best_metric_last
-        D["model_file"] = "model.h5"
-        D["checksum"] = self.cksum_model
+        if self.save_weights_file:
+            D["model_file"] = "model.h5"
+            D["checksum"] = self.cksum_model
         D["timestamp"] = now.strftime("%Y-%m-%d %H:%M:%S")
         if self.timestamp_last is None:
             time_elapsed = "__FIRST__"
diff --git a/candle/parsing_utils.py b/candle/parsing_utils.py
index 069a7c3..5655f3f 100644
--- a/candle/parsing_utils.py
+++ b/candle/parsing_utils.py
@@ -187,6 +187,7 @@ class ConfigDict(TypedDict):
     ckpt_save_best: bool
     ckpt_save_best_metric: str
     ckpt_save_weights_only: bool
+    ckpt_save_weights_file: bool
     ckpt_save_interval: int
     ckpt_keep_mode: str
     ckpt_keep_limit: int
@@ -612,6 +613,12 @@ class ConfigDict(TypedDict):
         "default": False,
         "help": "Toggle saving only weights (not optimizer) (NYI).",
     },
+    {
+        "name": "ckpt_save_weights_file",
+        "type": str2bool,
+        "default": True,
+        "help": "Toggle whether to save weights.  JSON will still be saved.",
+    },
     {
         "name": "ckpt_save_interval",
         "type": int,