From 9d68636f79410c230dc505dc8d8c19b323bf474f Mon Sep 17 00:00:00 2001
From: Yong Yue <yongyue@microsoft.com>
Date: Tue, 28 Jul 2026 16:48:02 +0800
Subject: [PATCH] Fix deepset/roberta-large-squad2 fp16 recipe to include quant
 config

The fp16 recipe was identical to fp32 (quant: null), making it not
self-contained. Added the proper fp16 quant block so the recipe
independently produces fp16 artifacts without requiring CLI overrides.
---
 .../cpu/question-answering_fp16_config.json   | 24 ++++++++++++++++++-
 1 file changed, 23 insertions(+), 1 deletion(-)

diff --git a/examples/recipes/deepset_roberta-large-squad2/cpu/cpu/question-answering_fp16_config.json b/examples/recipes/deepset_roberta-large-squad2/cpu/cpu/question-answering_fp16_config.json
index 1c8a70440..c80e9ff25 100644
--- a/examples/recipes/deepset_roberta-large-squad2/cpu/cpu/question-answering_fp16_config.json
+++ b/examples/recipes/deepset_roberta-large-squad2/cpu/cpu/question-answering_fp16_config.json
@@ -47,7 +47,29 @@
   "optim": {
     "clamp_constant_values": true
   },
-  "quant": null,
+  "quant": {
+    "mode": "fp16",
+    "samples": 10,
+    "calibration_method": "minmax",
+    "weight_type": "uint8",
+    "activation_type": "uint8",
+    "per_channel": false,
+    "symmetric": false,
+    "weight_symmetric": null,
+    "activation_symmetric": null,
+    "save_calibration": false,
+    "distribution": "uniform",
+    "seed": null,
+    "calibration_load_path": null,
+    "calibration_save_path": null,
+    "op_types_to_quantize": null,
+    "nodes_to_exclude": null,
+    "task": "question-answering",
+    "model_id": "deepset/roberta-large-squad2",
+    "model_type": "roberta",
+    "fp16_keep_io_types": true,
+    "fp16_op_block_list": null
+  },
   "loader": {
     "task": "question-answering",
     "model_class": "AutoModelForQuestionAnswering",