Update model version and parameters in generate-responses.py

generate-responses.py

@@ -5,7 +5,7 @@
 #     "huggingface-hub[hf_transfer]",
 #     "torch",
 #     "transformers",
-#     "vllm",
+#     "vllm>=0.8.5",
 # ]
 #
 # ///
@@ -150,7 +150,7 @@ uv run https://huggingface.co/datasets/uv-scripts/vllm/raw/main/generate-respons
 def main(
     src_dataset_hub_id: str,
     output_dataset_hub_id: str,
-    model_id: str = "Qwen/Qwen3-30B-A3B-Instruct-2507-FP8",
+    model_id: str = "Qwen/Qwen3-30B-A3B-Instruct-2507",
     messages_column: str = "messages",
     output_column: str = "response",
     temperature: float = 0.7,
@@ -160,6 +160,7 @@ def main(
     max_tokens: int = 16384,
     repetition_penalty: float = 1.0,
     gpu_memory_utilization: float = 0.90,
+    max_model_len: Optional[int] = None,
     tensor_parallel_size: Optional[int] = None,
     hf_token: Optional[str] = None,
 ):
@@ -179,6 +180,7 @@ def main(
         max_tokens: Maximum tokens to generate
         repetition_penalty: Repetition penalty parameter
         gpu_memory_utilization: GPU memory utilization factor
+        max_model_len: Maximum model context length (None uses model default)
         tensor_parallel_size: Number of GPUs to use (auto-detect if None)
         hf_token: Hugging Face authentication token
     """
@@ -213,11 +215,16 @@ def main(
 
     # Initialize vLLM
     logger.info(f"Loading model: {model_id}")
-    llm = LLM(
-        model=model_id,
-        tensor_parallel_size=tensor_parallel_size,
-        gpu_memory_utilization=gpu_memory_utilization,
-    )
+    vllm_kwargs = {
+        "model": model_id,
+        "tensor_parallel_size": tensor_parallel_size,
+        "gpu_memory_utilization": gpu_memory_utilization,
+    }
+    if max_model_len is not None:
+        vllm_kwargs["max_model_len"] = max_model_len
+        logger.info(f"Using max_model_len={max_model_len}")
+    
+    llm = LLM(**vllm_kwargs)
 
     # Load tokenizer for chat template
     logger.info("Loading tokenizer...")
@@ -336,8 +343,8 @@ Examples:
         parser.add_argument(
             "--model-id",
             type=str,
-            default="Qwen/Qwen3-30B-A3B-Instruct-2507-FP8",
-            help="Model to use for generation (default: Qwen3-30B-A3B-Instruct-2507-FP8)",
+            default="Qwen/Qwen3-30B-A3B-Instruct-2507",
+            help="Model to use for generation (default: Qwen3-30B-A3B-Instruct-2507)",
         )
         parser.add_argument(
             "--messages-column",
@@ -390,8 +397,8 @@ Examples:
         parser.add_argument(
             "--gpu-memory-utilization",
             type=float,
-            default=0.90,
-            help="GPU memory utilization factor (default: 0.90)",
+            default=0.95,
+            help="GPU memory utilization factor (default: 0.95)",
         )
         parser.add_argument(
             "--tensor-parallel-size",
@@ -439,7 +446,7 @@ Example HF Jobs command with multi-GPU:
         username/input-dataset \\
         username/output-dataset \\
         --messages-column messages \\
-        --model-id Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 \\
+        --model-id Qwen/Qwen3-30B-A3B-Instruct-2507 \\
         --temperature 0.7 \\
         --max-tokens 16384
         """)