diff --git a/assets/ar/sentiment_emotion_others/sarcasm/ArSarcasm2_JAIS13b_ZeroShot.py b/assets/ar/sentiment_emotion_others/sarcasm/ArSarcasm2_JAIS13b_ZeroShot.py
new file mode 100644
index 00000000..63f6a77f
--- /dev/null
+++ b/assets/ar/sentiment_emotion_others/sarcasm/ArSarcasm2_JAIS13b_ZeroShot.py
@@ -0,0 +1,60 @@
+from llmebench.datasets import ArSarcasm2Dataset
+from llmebench.models import FastChatModel
+from llmebench.tasks import SarcasmTask
+
+
+def metadata():
+    return {
+        "author": "Arabic Language Technologies, QCRI, HBKU",
+        "model": "Jais-13b-chat",
+        "description": "Locally hosted Jais-13b-chat model using FastChat.",
+    }
+
+
+def config():
+    return {
+        "dataset": ArSarcasm2Dataset,
+        "task": SarcasmTask,
+        "model": FastChatModel,
+        "model_args": {
+            "class_labels": ["TRUE", "FALSE"],
+            "max_tries": 3,
+        },
+    }
+
+
+def prompt(input_sample):
+    base_prompt = (
+        f'Predict whether the following "tweet" is sarcastic. Return "yes" if the tweet is sarcastic '
+        f'and "no" if the tweet is not sarcastic. Provide only label.\n\ntweet: {input_sample} \n'
+        f"label: \n"
+    )
+
+    return [
+        {
+            "role": "user",
+            "content": base_prompt,
+        },
+    ]
+
+
+def post_process(response):
+    out = response["choices"][0]["message"]["content"]
+    out = out.strip().lower()
+
+    if "i apologize" in out:
+        return None
+
+    j = out.find("label:")
+    if j > 0:
+        out = out[j + len("label:") :]
+    else:
+        j = out.find(" is:\n\n")
+        if j > 0:
+            out = out[j + len(" is:\n\n") :]
+    out = out.strip().title()
+    if out.lower() == "yes":
+        return "TRUE"
+    elif out.lower() == "no":
+        return "FALSE"
+    return None
diff --git a/assets/ar/sentiment_emotion_others/sarcasm/ArSarcasm_JAIS13b_ZeroShot.py b/assets/ar/sentiment_emotion_others/sarcasm/ArSarcasm_JAIS13b_ZeroShot.py
new file mode 100644
index 00000000..1bd4f1f3
--- /dev/null
+++ b/assets/ar/sentiment_emotion_others/sarcasm/ArSarcasm_JAIS13b_ZeroShot.py
@@ -0,0 +1,60 @@
+from llmebench.datasets import ArSarcasmDataset
+from llmebench.models import FastChatModel
+from llmebench.tasks import SarcasmTask
+
+
+def metadata():
+    return {
+        "author": "Arabic Language Technologies, QCRI, HBKU",
+        "model": "Jais-13b-chat",
+        "description": "Locally hosted Jais-13b-chat model using FastChat.",
+    }
+
+
+def config():
+    return {
+        "dataset": ArSarcasmDataset,
+        "task": SarcasmTask,
+        "model": FastChatModel,
+        "model_args": {
+            "class_labels": ["TRUE", "FALSE"],
+            "max_tries": 3,
+        },
+    }
+
+
+def prompt(input_sample):
+    base_prompt = (
+        f'Predict whether the following "tweet" is sarcastic. Return "yes" if the tweet is sarcastic '
+        f'and "no" if the tweet is not sarcastic. Provide only label.\n\ntweet: {input_sample} \n'
+        f"label: \n"
+    )
+
+    return [
+        {
+            "role": "user",
+            "content": base_prompt,
+        },
+    ]
+
+
+def post_process(response):
+    out = response["choices"][0]["message"]["content"]
+    out = out.strip().lower()
+
+    if "i apologize" in out:
+        return None
+
+    j = out.find("label:")
+    if j > 0:
+        out = out[j + len("label:") :]
+    else:
+        j = out.find(" is:\n\n")
+        if j > 0:
+            out = out[j + len(" is:\n\n") :]
+    out = out.strip().title()
+    if out.lower() == "yes":
+        return "TRUE"
+    elif out.lower() == "no":
+        return "FALSE"
+    return None