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@robertgshaw2-redhat
robertgshaw2-redhat committed Jul 8, 2024
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3 changes: 3 additions & 0 deletions tests/models/test_registry.py
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@pytest.mark.parametrize("model_cls", _MODELS)
def test_registry_imports(model_cls):
if model_cls == "JambaForCausalLM":
pytest.skip(reason="RE-ENABLE: jamba dependencies not "
"yet installed in NM CI")
# Ensure all model classes can be imported successfully
ModelRegistry.load_model_cls(model_cls)

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smaller_is_better

Benchmark suite Current: 6ce7018 Previous: f6f2554 Ratio
{"name": "mean_ttft_ms", "description": "VLLM Serving - Dense\nmodel - facebook/opt-350m\nmax-model-len - 2048\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 23.28865345999626 ms 24.363126653334653 ms 0.96
{"name": "mean_tpot_ms", "description": "VLLM Serving - Dense\nmodel - facebook/opt-350m\nmax-model-len - 2048\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 6.08146355101192 ms 6.047910136160147 ms 1.01
{"name": "mean_ttft_ms", "description": "VLLM Serving - Dense\nmodel - meta-llama/Meta-Llama-3-8B-Instruct\nmax-model-len - 4096\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 186.15292692333014 ms 184.3794278033306 ms 1.01
{"name": "mean_tpot_ms", "description": "VLLM Serving - Dense\nmodel - meta-llama/Meta-Llama-3-8B-Instruct\nmax-model-len - 4096\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 84.92211793830947 ms 85.039470859161 ms 1.00

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smaller_is_better

Benchmark suite Current: 6ce7018 Previous: f6f2554 Ratio
{"name": "mean_ttft_ms", "description": "VLLM Serving - Dense\nmodel - meta-llama/Meta-Llama-3-8B-Instruct\nmax-model-len - 4096\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 183.44453251000232 ms 184.3794278033306 ms 0.99
{"name": "mean_tpot_ms", "description": "VLLM Serving - Dense\nmodel - meta-llama/Meta-Llama-3-8B-Instruct\nmax-model-len - 4096\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 83.91055371467849 ms 85.039470859161 ms 0.99
{"name": "mean_ttft_ms", "description": "VLLM Serving - Dense\nmodel - facebook/opt-350m\nmax-model-len - 2048\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 23.751478923334542 ms 24.363126653334653 ms 0.97
{"name": "mean_tpot_ms", "description": "VLLM Serving - Dense\nmodel - facebook/opt-350m\nmax-model-len - 2048\nsparsity - None\nbenchmark_serving {\n \"nr-qps-pair_\": \"300,1\",\n \"dataset\": \"sharegpt\"\n}", "gpu_description": "NVIDIA L4 x 1", "vllm_version": "0.5.1", "python_version": "3.10.12 (main, Jun 7 2023, 13:43:11) [GCC 11.3.0]", "torch_version": "2.3.0+cu121"} 6.109791208203051 ms 6.047910136160147 ms 1.01

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