diff --git a/dev/bench/data.js b/dev/bench/data.js index c490bf1..3ce7509 100644 --- a/dev/bench/data.js +++ b/dev/bench/data.js @@ -1,54 +1,8 @@ window.BENCHMARK_DATA = { - "lastUpdate": 1732934359345, + "lastUpdate": 1732935891355, "repoUrl": "https://github.com/neuralmagic/nm-vllm-ent", "entries": { "smaller_is_better": [ - { - "commit": { - "author": { - "name": "Andy Linfoot", - "username": "andy-neuma", - "email": "78757007+andy-neuma@users.noreply.github.com" - }, - "committer": { - "name": "GitHub", - "username": "web-flow", - "email": "noreply@github.com" - }, - "id": "7c992e25436127a48dfb9a168bbcd28470ddb986", - "message": "initial test fan out (#117)\n\nSUMMARY:\r\n* update python script that parses and processes \"buildkite\" yaml\r\n* added `partitions` outputs to \"nm build\" workflow\r\n* add Neural Magic partition files\r\n* update helper scripts\r\n* adjust workflows and add actions for updated style\r\n\r\nNOTES: this generates a json data structure which can be used to iterate\r\nover to run tests. some benefits of this approach are:\r\n* programmatically fanning out\r\n* setting ENV's locally to the partitions where they are necessary\r\n* localizing pip installs to the partitions where they are necessary\r\n* running any other commands necessary for correct test execution\r\n\r\nTESTPLAN:\r\ndogfooding\r\n\r\n---------\r\n\r\nCo-authored-by: andy-neuma ", - "timestamp": "2024-11-15T18:31:15Z", - "url": "https://github.com/neuralmagic/nm-vllm-ent/commit/7c992e25436127a48dfb9a168bbcd28470ddb986" - }, - "date": 1731989620642, - "tool": "customSmallerIsBetter", - "benches": [ - { - "name": "{\"name\": \"mean_ttft_ms\", \"description\": \"VLLM Serving - Dense\\nmodel - meta-llama/Meta-Llama-3-70B-Instruct\\nmax-model-len - 4096\\nsparsity - None\\nbenchmark_serving {\\n \\\"nr-qps-pair_\\\": \\\"300,1\\\",\\n \\\"dataset\\\": \\\"sharegpt\\\"\\n}\", \"gpu_description\": \"NVIDIA H100 80GB HBM3 x 4\", \"vllm_version\": \"0.6.3.0.20241119\", \"python_version\": \"3.10.12 (main, Sep 30 2024, 21:31:31) [GCC 11.4.0]\", \"torch_version\": \"2.4.0+cu121\"}", - "value": 132.15738137563068, - "unit": "ms", - "extra": "{\n \"description\": \"VLLM Serving - Dense\\nmodel - meta-llama/Meta-Llama-3-70B-Instruct\\nmax-model-len - 4096\\nsparsity - None\\nbenchmark_serving {\\n \\\"nr-qps-pair_\\\": \\\"300,1\\\",\\n \\\"dataset\\\": \\\"sharegpt\\\"\\n}\",\n \"benchmarking_context\": {\n \"vllm_version\": \"0.6.3.0.20241119\",\n \"python_version\": \"3.10.12 (main, Sep 30 2024, 21:31:31) [GCC 11.4.0]\",\n \"torch_version\": \"2.4.0+cu121\",\n \"torch_cuda_version\": \"12.1\",\n \"cuda_devices\": \"[_CudaDeviceProperties(name='NVIDIA H100 80GB HBM3', major=9, minor=0, total_memory=80994MB, multi_processor_count=132), _CudaDeviceProperties(name='NVIDIA H100 80GB HBM3', major=9, minor=0, total_memory=80994MB, multi_processor_count=132), _CudaDeviceProperties(name='NVIDIA H100 80GB HBM3', major=9, minor=0, total_memory=80994MB, multi_processor_count=132), _CudaDeviceProperties(name='NVIDIA H100 80GB HBM3', major=9, minor=0, total_memory=80994MB, multi_processor_count=132)]\",\n \"cuda_device_names\": [\n \"NVIDIA H100 80GB HBM3\",\n \"NVIDIA H100 80GB HBM3\",\n \"NVIDIA H100 80GB HBM3\",\n \"NVIDIA H100 80GB HBM3\"\n ]\n },\n \"gpu_description\": \"NVIDIA H100 80GB HBM3 x 4\",\n \"script_name\": \"benchmark_serving.py\",\n \"script_args\": {\n \"description\": \"VLLM Serving - Dense\\nmodel - meta-llama/Meta-Llama-3-70B-Instruct\\nmax-model-len - 4096\\nsparsity - None\\nbenchmark_serving {\\n \\\"nr-qps-pair_\\\": \\\"300,1\\\",\\n \\\"dataset\\\": \\\"sharegpt\\\"\\n}\",\n \"backend\": \"vllm\",\n \"version\": \"N/A\",\n \"base_url\": null,\n \"host\": \"127.0.0.1\",\n \"port\": 9000,\n \"endpoint\": \"/generate\",\n \"dataset\": \"sharegpt\",\n \"num_input_tokens\": null,\n \"num_output_tokens\": null,\n \"model\": \"meta-llama/Meta-Llama-3-70B-Instruct\",\n \"tokenizer\": \"meta-llama/Meta-Llama-3-70B-Instruct\",\n \"best_of\": 1,\n \"use_beam_search\": false,\n \"log_model_io\": false,\n \"seed\": 0,\n \"trust_remote_code\": false,\n \"disable_tqdm\": false,\n \"save_directory\": \"benchmark-results\",\n \"num_prompts_\": null,\n \"request_rate_\": null,\n \"nr_qps_pair_\": [\n 300,\n \"1.0\"\n ],\n \"server_tensor_parallel_size\": 4,\n \"server_args\": \"{'model': 'meta-llama/Meta-Llama-3-70B-Instruct', 'tokenizer': 'meta-llama/Meta-Llama-3-70B-Instruct', 'max-model-len': 4096, 'host': '127.0.0.1', 'port': 9000, 'tensor-parallel-size': 4, 'disable-log-requests': ''}\"\n },\n \"date\": \"2024-11-19 03:51:58 UTC\",\n \"model\": \"meta-llama/Meta-Llama-3-70B-Instruct\",\n \"dataset\": \"sharegpt\"\n}" - 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} - ] - }, { "commit": { "author": { @@ -2302,6 +2256,52 @@ window.BENCHMARK_DATA = { "extra": "{\n \"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}\",\n \"benchmarking_context\": {\n \"vllm_version\": \"0.6.3.0.20241130\",\n \"python_version\": \"3.10.12 (main, Sep 30 2024, 21:31:31) [GCC 11.4.0]\",\n \"torch_version\": \"2.4.0+cu121\",\n \"torch_cuda_version\": \"12.1\",\n \"cuda_devices\": \"[_CudaDeviceProperties(name='NVIDIA A100-SXM4-80GB', major=8, minor=0, total_memory=81049MB, multi_processor_count=108)]\",\n \"cuda_device_names\": [\n \"NVIDIA A100-SXM4-80GB\"\n ]\n },\n \"gpu_description\": \"NVIDIA A100-SXM4-80GB x 1\",\n \"script_name\": \"benchmark_serving.py\",\n \"script_args\": {\n \"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}\",\n \"backend\": \"vllm\",\n \"version\": \"N/A\",\n \"base_url\": null,\n \"host\": \"127.0.0.1\",\n \"port\": 9000,\n \"endpoint\": \"/generate\",\n \"dataset\": \"sharegpt\",\n \"num_input_tokens\": null,\n \"num_output_tokens\": null,\n \"model\": \"facebook/opt-350m\",\n \"tokenizer\": \"facebook/opt-350m\",\n \"best_of\": 1,\n \"use_beam_search\": false,\n \"log_model_io\": false,\n \"seed\": 0,\n \"trust_remote_code\": false,\n \"disable_tqdm\": false,\n \"save_directory\": \"benchmark-results\",\n \"num_prompts_\": null,\n \"request_rate_\": null,\n \"nr_qps_pair_\": [\n 300,\n \"1.0\"\n ],\n \"server_tensor_parallel_size\": 1,\n \"server_args\": \"{'model': 'facebook/opt-350m', 'tokenizer': 'facebook/opt-350m', 'max-model-len': 2048, 'host': '127.0.0.1', 'port': 9000, 'tensor-parallel-size': 1, 'disable-log-requests': ''}\"\n },\n \"date\": \"2024-11-30 02:31:51 UTC\",\n \"model\": \"facebook/opt-350m\",\n \"dataset\": \"sharegpt\"\n}" } ] + }, + { + "commit": { + "author": { + "name": "dhuangnm", + "username": "dhuangnm", + "email": "74931910+dhuangnm@users.noreply.github.com" + }, + "committer": { + "name": "GitHub", + "username": "web-flow", + "email": "noreply@github.com" + }, + "id": "9a094e47579bbd9f536bd71d3b418621448c2183", + "message": "add weight_loading tests to nightly (#154)\n\nAdd weight loading tests to nightly.\r\n\r\nCo-authored-by: dhuangnm ", + "timestamp": "2024-11-27T16:18:20Z", + "url": "https://github.com/neuralmagic/nm-vllm-ent/commit/9a094e47579bbd9f536bd71d3b418621448c2183" + }, + "date": 1732935890026, + "tool": "customSmallerIsBetter", + "benches": [ + { + "name": "{\"name\": \"mean_ttft_ms\", \"description\": \"VLLM Serving - 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