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Test large
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ccamacho committed Jan 31, 2025
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4 changes: 2 additions & 2 deletions containers/scripts/run_vllm.py
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# Load and filter the dataset
dataset = load_dataset("MLCommons/peoples_speech", "validation")
dataset = dataset.filter(lambda example: example['duration_ms'] < 30000 and example['duration_ms'] > 10000)
data_subset = dataset["validation"].select(range(200))
data_subset = dataset["validation"]# .select(range(200))

# Model configuration
tensor_parallel_size = 1
model = "openai/whisper-small" # ["openai/whisper-small", "openai/whisper-large-v3-turbo"]
model = "openai/whisper-large-v3" # ["openai/whisper-small", "openai/whisper-large-v3-turbo"]
max_num_seqs = 100
gpu_memory_utilization = 0.95
enforce_eager = True
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