diff --git a/examples/recipes/README.md b/examples/recipes/README.md
index 86aa01869..77606ae03 100644
--- a/examples/recipes/README.md
+++ b/examples/recipes/README.md
@@ -14,7 +14,7 @@ Each *(model, task)* includes:
 
 ## Models
 
-Total: **75** (model, task) tuples that pass fp16 eval on all 10 (EP, device) buckets.
+Total: **76** (model, task) tuples that pass fp16 eval on all 10 (EP, device) buckets.
 
 | Model | Task |
 |---|---|
@@ -43,6 +43,7 @@ Total: **75** (model, task) tuples that pass fp16 eval on all 10 (EP, device) bu
 | deepset/bert-large-uncased-whole-word-masking-squad2 | question-answering |
 | deepset/roberta-base-squad2 | question-answering |
 | deepset/tinyroberta-squad2 | question-answering |
+| dell-research-harvard/lt-wikidata-comp-zh | feature-extraction |
 | dima806/fairface_age_image_detection | image-classification |
 | distilbert/distilbert-base-cased-distilled-squad | question-answering |
 | distilbert/distilbert-base-uncased | fill-mask |
diff --git a/examples/recipes/dell-research-harvard_lt-wikidata-comp-zh/feature-extraction_fp16_config.json b/examples/recipes/dell-research-harvard_lt-wikidata-comp-zh/feature-extraction_fp16_config.json
new file mode 100644
index 000000000..787760f0d
--- /dev/null
+++ b/examples/recipes/dell-research-harvard_lt-wikidata-comp-zh/feature-extraction_fp16_config.json
@@ -0,0 +1,101 @@
+{
+  "export": {
+    "opset_version": 17,
+    "batch_size": 1,
+    "export_params": true,
+    "do_constant_folding": true,
+    "verbose": false,
+    "dynamo": false,
+    "enable_hierarchy_tags": true,
+    "clean_onnx": false,
+    "hierarchy_tag_format": "full",
+    "input_tensors": [
+      {
+        "name": "input_ids",
+        "dtype": "int32",
+        "shape": [
+          1,
+          512
+        ],
+        "value_range": [
+          0,
+          21128
+        ]
+      },
+      {
+        "name": "attention_mask",
+        "dtype": "int32",
+        "shape": [
+          1,
+          512
+        ],
+        "value_range": [
+          0,
+          2
+        ]
+      },
+      {
+        "name": "token_type_ids",
+        "dtype": "int32",
+        "shape": [
+          1,
+          512
+        ],
+        "value_range": [
+          0,
+          2
+        ]
+      }
+    ],
+    "output_tensors": [
+      {
+        "name": "last_hidden_state"
+      }
+    ]
+  },
+  "optim": {
+    "clamp_constant_values": true
+  },
+  "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": "feature-extraction",
+    "model_id": "dell-research-harvard/lt-wikidata-comp-zh",
+    "model_type": "bert",
+    "fp16_keep_io_types": true,
+    "fp16_op_block_list": null
+  },
+  "compile": null,
+  "loader": {
+    "task": "feature-extraction",
+    "model_class": "AutoModel",
+    "model_type": "bert"
+  },
+  "eval": {
+    "task": "feature-extraction",
+    "dataset": {
+      "path": "mteb/stsbenchmark-sts",
+      "split": "test",
+      "samples": 100,
+      "columns_mapping": {
+        "input_column_1": "sentence1",
+        "input_column_2": "sentence2",
+        "score_column": "score"
+      }
+    }
+  }
+}
diff --git a/examples/recipes/dell-research-harvard_lt-wikidata-comp-zh/feature-extraction_w8a16_config.json b/examples/recipes/dell-research-harvard_lt-wikidata-comp-zh/feature-extraction_w8a16_config.json
new file mode 100644
index 000000000..c5519d6be
--- /dev/null
+++ b/examples/recipes/dell-research-harvard_lt-wikidata-comp-zh/feature-extraction_w8a16_config.json
@@ -0,0 +1,99 @@
+{
+  "export": {
+    "opset_version": 17,
+    "batch_size": 1,
+    "export_params": true,
+    "do_constant_folding": true,
+    "verbose": false,
+    "dynamo": false,
+    "enable_hierarchy_tags": true,
+    "clean_onnx": false,
+    "hierarchy_tag_format": "full",
+    "input_tensors": [
+      {
+        "name": "input_ids",
+        "dtype": "int32",
+        "shape": [
+          1,
+          512
+        ],
+        "value_range": [
+          0,
+          21128
+        ]
+      },
+      {
+        "name": "attention_mask",
+        "dtype": "int32",
+        "shape": [
+          1,
+          512
+        ],
+        "value_range": [
+          0,
+          2
+        ]
+      },
+      {
+        "name": "token_type_ids",
+        "dtype": "int32",
+        "shape": [
+          1,
+          512
+        ],
+        "value_range": [
+          0,
+          2
+        ]
+      }
+    ],
+    "output_tensors": [
+      {
+        "name": "last_hidden_state"
+      }
+    ]
+  },
+  "optim": {
+    "clamp_constant_values": true
+  },
+  "quant": {
+    "mode": "static",
+    "samples": 10,
+    "calibration_method": "minmax",
+    "weight_type": "uint8",
+    "activation_type": "uint16",
+    "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": "feature-extraction",
+    "model_id": "dell-research-harvard/lt-wikidata-comp-zh",
+    "model_type": "bert"
+  },
+  "compile": null,
+  "loader": {
+    "task": "feature-extraction",
+    "model_class": "AutoModel",
+    "model_type": "bert"
+  },
+  "eval": {
+    "task": "feature-extraction",
+    "dataset": {
+      "path": "mteb/stsbenchmark-sts",
+      "split": "test",
+      "samples": 1000,
+      "columns_mapping": {
+        "input_column_1": "sentence1",
+        "input_column_2": "sentence2",
+        "score_column": "score"
+      }
+    }
+  }
+}