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https://github.com/NVIDIA/TensorRT-LLM.git
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Signed-off-by: Venky Ganesh <23023424+venkywonka@users.noreply.github.com>
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@ -58,6 +58,8 @@ MODEL_PATH_DICT = {
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"llama_v3.1_nemotron_nano_8b": "Llama-3.1-Nemotron-Nano-8B-v1",
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"llama_v3.3_nemotron_super_49b":
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"nemotron-nas/Llama-3_3-Nemotron-Super-49B-v1",
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"llama_v3.1_nemotron_ultra_253b":
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"nemotron-nas/Llama-3_1-Nemotron-Ultra-253B-v1",
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# "llama_30b": "llama-models/llama-30b-hf",
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"mixtral_8x7b_v0.1": "Mixtral-8x7B-v0.1",
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"mixtral_8x7b_v0.1_instruct": "Mixtral-8x7B-Instruct-v0.1",
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@ -106,6 +108,8 @@ HF_MODEL_PATH = {
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"llama_v3.1_nemotron_nano_8b_hf": "nvidia/Llama-3.1-Nemotron-Nano-8B-v1",
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"llama_v3.3_nemotron_super_49b_hf":
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"nvidia/Llama-3_3-Nemotron-Super-49B-v1",
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"llama_v3.1_nemotron_ultra_253b_hf":
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"nvidia/Llama-3_1-Nemotron-Ultra-253B-v1",
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"mixtral_8x7b_v0.1_hf": "mistralai/Mixtral-8x7B-v0.1",
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"mixtral_8x7b_v0.1_instruct_hf": "mistralai/Mixtral-8x7B-Instruct-v0.1",
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"mistral_7b_v0.1_hf": "mistralai/Mistral-7B-v0.1",
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@ -186,6 +186,13 @@ trt_llm_release_perf_test:
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- perf/test_perf.py::test_perf[llama_v3.3_70b_instruct_fp8-bench-pytorch-float8-input_output_len:128,128-gpus:8]
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- perf/test_perf.py::test_perf[gpt_20b-bench-float16-maxbs:8-input_output_len:128,128-reqs:80-gpus:8]
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- perf/test_perf.py::test_perf[gpt_20b-bench-float16-maxbs:8-input_output_len:512,32-reqs:80-gpus:8]
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# Llama-3_1-Nemotron-Ultra-253B-v1
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# all cpp backend, bf16->fp8 post-quantized
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- perf/test_perf.py::test_perf[llama_v3.1_nemotron_ultra_253b-bench-bfloat16-maxbs:64-input_output_len:5000,500-quant:fp8-reqs:8-con:1-tp:8-gpus:8]
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- perf/test_perf.py::test_perf[llama_v3.1_nemotron_ultra_253b-bench-bfloat16-maxbs:64-input_output_len:500,2000-quant:fp8-reqs:8-con:1-tp:8-gpus:8]
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- perf/test_perf.py::test_perf[llama_v3.1_nemotron_ultra_253b-bench-bfloat16-maxbs:64-input_output_len:5000,500-quant:fp8-reqs:250-con:250-tp:8-gpus:8]
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- perf/test_perf.py::test_perf[llama_v3.1_nemotron_ultra_253b-bench-bfloat16-maxbs:64-input_output_len:500,2000-quant:fp8-reqs:250-con:250-tp:8-gpus:8]
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- condition:
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ranges:
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