[Feature] Support reward model LxzGordon/URM-LLaMa-3.1-8B (#1525)

examples/runtime/reward_model.py

@@ -0,0 +1,34 @@
+# launch server
+# python -m sglang.launch_server --model LxzGordon/URM-LLaMa-3.1-8B --is-embedding
+
+import json
+
+import requests
+
+url = "http://127.0.0.1:30000"
+
+PROMPT = (
+    "What is the range of the numeric output of a sigmoid node in a neural network?"
+)
+RESPONSE1 = "The output of a sigmoid node is bounded between -1 and 1."
+RESPONSE2 = "The output of a sigmoid node is bounded between 0 and 1."
+
+json_data = {
+    "conv": [
+        [
+            {"role": "user", "content": PROMPT},
+            {"role": "assistant", "content": RESPONSE1},
+        ],
+        [
+            {"role": "user", "content": PROMPT},
+            {"role": "assistant", "content": RESPONSE2},
+        ],
+    ],
+}
+response = requests.post(
+    url + "/judge",
+    json=json_data,
+).json()
+
+print(response)
+print("scores:", [x["embedding"] for x in response])