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README.md

@@ -53,8 +53,8 @@ uv run vlm-classify.py \
 
 ```bash
 hf jobs uv run \
-    --flavor a10g \
-    --image vllm/vllm-openai \
+    --flavor l40sx1 \
+    --image vllm/vllm-openai:v0.32.0 \
     -s HF_TOKEN \
     https://huggingface.co/datasets/uv-scripts/vllm/raw/main/vlm-classify.py \
     username/input-dataset \
@@ -102,7 +102,7 @@ uv run classify-dataset.py \
 ```bash
 hf jobs uv run \
     --flavor l4x1 \
-    --image vllm/vllm-openai \
+    --image vllm/vllm-openai:v0.32.0 \
     https://huggingface.co/datasets/uv-scripts/vllm/resolve/main/classify-dataset.py \
     davanstrien/ModernBERT-base-is-new-arxiv-dataset \
     username/input-dataset \
@@ -160,7 +160,7 @@ uv run generate-responses.py \
 ```bash
 hf jobs uv run \
     --flavor l4x4 \
-    --image vllm/vllm-openai \
+    --image vllm/vllm-openai:v0.32.0 \
     -e UV_PRERELEASE=if-necessary \
     -s HF_TOKEN \
     https://huggingface.co/datasets/uv-scripts/vllm/raw/main/generate-responses.py \

generate-responses.py

@@ -10,6 +10,13 @@
 #     "vllm>=0.11.0",
 # ]
 #
+# [tool.hf-jobs]
+# image = "vllm/vllm-openai:v0.32.0"
+# python = "/usr/bin/python3"
+# env = { PYTHONPATH = "/usr/local/lib/python3.12/dist-packages" }
+# flavor = "a100-large"
+# secrets = ["HF_TOKEN"]
+# timeout = "2h"
 # ///
 """
 Generate responses for prompts in a dataset using vLLM for efficient GPU inference.
@@ -35,7 +42,8 @@ Example usage:
         --max-tokens 2048
 
     # HF Jobs execution (see script output for full command)
-    hf jobs uv run --flavor a100x4 ...
+    # The header sets a100-large. The default model needs --max-model-len there.
+    hf jobs uv run generate-responses.py input output --max-model-len 32768
 """
 
 import argparse
@@ -573,12 +581,13 @@ This script requires arguments. For usage information:
 Example HF Jobs command with multi-GPU:
     # If you're logged in with huggingface-cli, token will be auto-detected
     hf jobs uv run \\
-        --flavor l4x4 \\
+        --flavor a100-large \\
         https://huggingface.co/datasets/uv-scripts/vllm/raw/main/generate-responses.py \\
         username/input-dataset \\
         username/output-dataset \\
         --messages-column messages \\
         --model-id Qwen/Qwen3-30B-A3B-Instruct-2507 \\
+        --max-model-len 32768 \\
         --temperature 0.7 \\
         --max-tokens 16384
         """)

vlm-classify.py

@@ -10,6 +10,14 @@
 #     "transformers",
 #     "vllm>=0.11.0",  # StructuredOutputsParams API (guided_decoding removed in 0.12.0)
 # ]
+#
+# [tool.hf-jobs]
+# image = "vllm/vllm-openai:v0.32.0"
+# python = "/usr/bin/python3"
+# env = { PYTHONPATH = "/usr/local/lib/python3.12/dist-packages" }
+# flavor = "l40sx1"
+# secrets = ["HF_TOKEN"]
+# timeout = "1h"
 # ///
 
 """
@@ -139,7 +147,7 @@ def main(
     if not torch.cuda.is_available():
         logger.error("CUDA is not available. This script requires a GPU.")
         logger.error("If running locally, ensure you have a CUDA-capable GPU.")
-        logger.error("For cloud execution, use: hf jobs uv run --flavor a10g ...")
+        logger.error("For cloud execution, use: hf jobs uv run --flavor l40sx1 ...")
         sys.exit(1)
 
     # Parse classes
@@ -310,7 +318,7 @@ Examples:
     
     # HF Jobs execution
     hf jobs uv run \\
-        --flavor a10g \\
+        --flavor l40sx1 \\
         https://huggingface.co/datasets/uv-scripts/vllm/raw/main/vlm-classify.py \\
         username/input-dataset \\
         username/output-dataset \\
@@ -408,7 +416,7 @@ Examples:
         print("=" * 60)
         print("""
 hf jobs uv run \\
-    --flavor a10g \\
+    --flavor l40sx1 \\
     -e HF_TOKEN=$(python3 -c "from huggingface_hub import get_token; print(get_token())") \\
     https://huggingface.co/datasets/uv-scripts/vllm/raw/main/vlm-classify.py \\
     davanstrien/sloane-index-cards \\