sglangv0.5.2 & support Qwen3-Next-80B-A3B-Instruct

benchmark/multi_turn_chat/data_gen.py

@@ -0,0 +1,29 @@
+import random
+import string
+
+random.seed(42)
+
+
+def gen_prompt(tokenizer, token_num):
+    cha_set = string.ascii_letters + string.digits
+    ret = "".join(random.choices(cha_set, k=token_num))
+    while len(tokenizer(ret).input_ids) < token_num:
+        ret += random.choice(cha_set)
+    return ret
+
+
+def gen_arguments(args, tokenizer):
+    multi_qas = [{"qas": []} for _ in range(args.num_qa)]
+    for i in range(args.num_qa):
+        qas = multi_qas[i]["qas"]
+        for _ in range(args.turns):
+            prompt_len = random.randint(args.min_len_q, args.max_len_q)
+            new_tokens = random.randint(args.min_len_a, args.max_len_a)
+            qas.append(
+                {
+                    "prompt": gen_prompt(tokenizer, prompt_len),
+                    "new_tokens": new_tokens,
+                }
+            )
+
+    return multi_qas