diff --git a/dev/bench/data.js b/dev/bench/data.js
index 2c84a3e..71145ea 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,54 +1,8 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1735885592044,
+  "lastUpdate": 1735956883556,
   "repoUrl": "https://github.com/neuralmagic/nm-vllm-ent",
   "entries": {
     "smaller_is_better": [
-      {
-        "commit": {
-          "author": {
-            "name": "Domenic Barbuzzi",
-            "username": "dbarbuzzi",
-            "email": "domenic@neuralmagic.com"
-          },
-          "committer": {
-            "name": "GitHub",
-            "username": "web-flow",
-            "email": "noreply@github.com"
-          },
-          "id": "dabca025e458f83e9de82f68aef29b3260214c16",
-          "message": "Add code coverage support (#169)\n\nThis PR restores code coverage support via opt-in flag (i.e., disabled\nby default).\n\nWhen the flag is set, the script that manages the commands to run will\ninclude coverage-related flags to generate data. There are also\nsteps/scripts that are added/modified to handle this data (upload to the\nrun as an artifact, write the results to the job summary).",
-          "timestamp": "2024-12-19T16:37:19Z",
-          "url": "https://github.com/neuralmagic/nm-vllm-ent/commit/dabca025e458f83e9de82f68aef29b3260214c16"
-        },
-        "date": 1735007295696,
-        "tool": "customSmallerIsBetter",
-        "benches": [
-          {
-            "name": "{\"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\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\"}",
-            "value": 233.72346888667985,
-            "unit": "ms",
-            "extra": "{\"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}\", \"benchmarking_context\": {\"vllm_version\": \"0.6.3.0.20241224\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\", \"torch_cuda_version\": \"12.1\", \"cuda_devices\": \"[_CudaDeviceProperties(name='NVIDIA L4', major=8, minor=9, total_memory=22593MB, multi_processor_count=58)]\", \"cuda_device_names\": [\"NVIDIA L4\"]}, \"gpu_description\": \"NVIDIA L4 x 1\", \"script_name\": \"benchmark_serving.py\", \"script_args\": {\"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}\", \"backend\": \"vllm\", \"version\": \"N/A\", \"base_url\": null, \"host\": \"127.0.0.1\", \"port\": 9000, \"endpoint\": \"/generate\", \"dataset\": \"sharegpt\", \"num_input_tokens\": null, \"num_output_tokens\": null, \"model\": \"meta-llama/Meta-Llama-3-8B-Instruct\", \"tokenizer\": \"meta-llama/Meta-Llama-3-8B-Instruct\", \"best_of\": 1, \"use_beam_search\": false, \"log_model_io\": false, \"seed\": 0, \"trust_remote_code\": false, \"disable_tqdm\": false, \"save_directory\": \"benchmark-results\", \"num_prompts_\": null, \"request_rate_\": null, \"nr_qps_pair_\": [300, \"1.0\"], \"server_tensor_parallel_size\": 1, \"server_args\": \"{'model': 'meta-llama/Meta-Llama-3-8B-Instruct', 'tokenizer': 'meta-llama/Meta-Llama-3-8B-Instruct', 'max-model-len': 4096, 'host': '127.0.0.1', 'port': 9000, 'tensor-parallel-size': 1, 'disable-log-requests': ''}\"}, \"date\": \"2024-12-24 02:27:01 UTC\", \"model\": \"meta-llama/Meta-Llama-3-8B-Instruct\", \"dataset\": \"sharegpt\"}"
-          },
-          {
-            "name": "{\"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\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\"}",
-            "value": 82.34116800242354,
-            "unit": "ms",
-            "extra": "{\"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}\", \"benchmarking_context\": {\"vllm_version\": \"0.6.3.0.20241224\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\", \"torch_cuda_version\": \"12.1\", \"cuda_devices\": \"[_CudaDeviceProperties(name='NVIDIA L4', major=8, minor=9, total_memory=22593MB, multi_processor_count=58)]\", \"cuda_device_names\": [\"NVIDIA L4\"]}, \"gpu_description\": \"NVIDIA L4 x 1\", \"script_name\": \"benchmark_serving.py\", \"script_args\": {\"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}\", \"backend\": \"vllm\", \"version\": \"N/A\", \"base_url\": null, \"host\": \"127.0.0.1\", \"port\": 9000, \"endpoint\": \"/generate\", \"dataset\": \"sharegpt\", \"num_input_tokens\": null, \"num_output_tokens\": null, \"model\": \"meta-llama/Meta-Llama-3-8B-Instruct\", \"tokenizer\": \"meta-llama/Meta-Llama-3-8B-Instruct\", \"best_of\": 1, \"use_beam_search\": false, \"log_model_io\": false, \"seed\": 0, \"trust_remote_code\": false, \"disable_tqdm\": false, \"save_directory\": \"benchmark-results\", \"num_prompts_\": null, \"request_rate_\": null, \"nr_qps_pair_\": [300, \"1.0\"], \"server_tensor_parallel_size\": 1, \"server_args\": \"{'model': 'meta-llama/Meta-Llama-3-8B-Instruct', 'tokenizer': 'meta-llama/Meta-Llama-3-8B-Instruct', 'max-model-len': 4096, 'host': '127.0.0.1', 'port': 9000, 'tensor-parallel-size': 1, 'disable-log-requests': ''}\"}, \"date\": \"2024-12-24 02:27:01 UTC\", \"model\": \"meta-llama/Meta-Llama-3-8B-Instruct\", \"dataset\": \"sharegpt\"}"
-          },
-          {
-            "name": "{\"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\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\"}",
-            "value": 36.08327106998937,
-            "unit": "ms",
-            "extra": "{\"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}\", \"benchmarking_context\": {\"vllm_version\": \"0.6.3.0.20241224\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\", \"torch_cuda_version\": \"12.1\", \"cuda_devices\": \"[_CudaDeviceProperties(name='NVIDIA L4', major=8, minor=9, total_memory=22593MB, multi_processor_count=58)]\", \"cuda_device_names\": [\"NVIDIA L4\"]}, \"gpu_description\": \"NVIDIA L4 x 1\", \"script_name\": \"benchmark_serving.py\", \"script_args\": {\"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}\", \"backend\": \"vllm\", \"version\": \"N/A\", \"base_url\": null, \"host\": \"127.0.0.1\", \"port\": 9000, \"endpoint\": \"/generate\", \"dataset\": \"sharegpt\", \"num_input_tokens\": null, \"num_output_tokens\": null, \"model\": \"facebook/opt-350m\", \"tokenizer\": \"facebook/opt-350m\", \"best_of\": 1, \"use_beam_search\": false, \"log_model_io\": false, \"seed\": 0, \"trust_remote_code\": false, \"disable_tqdm\": false, \"save_directory\": \"benchmark-results\", \"num_prompts_\": null, \"request_rate_\": null, \"nr_qps_pair_\": [300, \"1.0\"], \"server_tensor_parallel_size\": 1, \"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': ''}\"}, \"date\": \"2024-12-24 02:18:18 UTC\", \"model\": \"facebook/opt-350m\", \"dataset\": \"sharegpt\"}"
-          },
-          {
-            "name": "{\"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\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\"}",
-            "value": 5.94994918789971,
-            "unit": "ms",
-            "extra": "{\"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}\", \"benchmarking_context\": {\"vllm_version\": \"0.6.3.0.20241224\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\", \"torch_cuda_version\": \"12.1\", \"cuda_devices\": \"[_CudaDeviceProperties(name='NVIDIA L4', major=8, minor=9, total_memory=22593MB, multi_processor_count=58)]\", \"cuda_device_names\": [\"NVIDIA L4\"]}, \"gpu_description\": \"NVIDIA L4 x 1\", \"script_name\": \"benchmark_serving.py\", \"script_args\": {\"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}\", \"backend\": \"vllm\", \"version\": \"N/A\", \"base_url\": null, \"host\": \"127.0.0.1\", \"port\": 9000, \"endpoint\": \"/generate\", \"dataset\": \"sharegpt\", \"num_input_tokens\": null, \"num_output_tokens\": null, \"model\": \"facebook/opt-350m\", \"tokenizer\": \"facebook/opt-350m\", \"best_of\": 1, \"use_beam_search\": false, \"log_model_io\": false, \"seed\": 0, \"trust_remote_code\": false, \"disable_tqdm\": false, \"save_directory\": \"benchmark-results\", \"num_prompts_\": null, \"request_rate_\": null, \"nr_qps_pair_\": [300, \"1.0\"], \"server_tensor_parallel_size\": 1, \"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': ''}\"}, \"date\": \"2024-12-24 02:18:18 UTC\", \"model\": \"facebook/opt-350m\", \"dataset\": \"sharegpt\"}"
-          }
-        ]
-      },
       {
         "commit": {
           "author": {
@@ -2302,6 +2256,52 @@ window.BENCHMARK_DATA = {
             "extra": "{\"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}\", \"benchmarking_context\": {\"vllm_version\": \"0.6.3.0.20250103\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\", \"torch_cuda_version\": \"12.1\", \"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)]\", \"cuda_device_names\": [\"NVIDIA H100 80GB HBM3\", \"NVIDIA H100 80GB HBM3\", \"NVIDIA H100 80GB HBM3\", \"NVIDIA H100 80GB HBM3\"]}, \"gpu_description\": \"NVIDIA H100 80GB HBM3 x 4\", \"script_name\": \"benchmark_serving.py\", \"script_args\": {\"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}\", \"backend\": \"vllm\", \"version\": \"N/A\", \"base_url\": null, \"host\": \"127.0.0.1\", \"port\": 9000, \"endpoint\": \"/generate\", \"dataset\": \"sharegpt\", \"num_input_tokens\": null, \"num_output_tokens\": null, \"model\": \"meta-llama/Meta-Llama-3-70B-Instruct\", \"tokenizer\": \"meta-llama/Meta-Llama-3-70B-Instruct\", \"best_of\": 1, \"use_beam_search\": false, \"log_model_io\": false, \"seed\": 0, \"trust_remote_code\": false, \"disable_tqdm\": false, \"save_directory\": \"benchmark-results\", \"num_prompts_\": null, \"request_rate_\": null, \"nr_qps_pair_\": [300, \"1.0\"], \"server_tensor_parallel_size\": 4, \"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': ''}\"}, \"date\": \"2025-01-03 06:04:43 UTC\", \"model\": \"meta-llama/Meta-Llama-3-70B-Instruct\", \"dataset\": \"sharegpt\"}"
           }
         ]
+      },
+      {
+        "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": "0507e27d49749501ebf2db85d210dee03da59315",
+          "message": "Remove `magic_wand` (#172)\n\nSUMMARY:\r\n* remove \"magic wand\" from \"nm-vllm\"\r\n* update neural magic docker\r\n* update `collect_env.py`\r\n\r\nNOTE: final run was cancelled, since it was just @derekk-nm disabling a\r\ntest ... changes ran green ...\r\nhttps://github.com/neuralmagic/nm-vllm-ent/actions/runs/12602081688\r\n\r\nTEST PLAN:\r\nruns on remote push\r\n\r\n---------\r\n\r\nCo-authored-by: andy-neuma <andy@neuralmagic.com>",
+          "timestamp": "2025-01-03T19:52:36Z",
+          "url": "https://github.com/neuralmagic/nm-vllm-ent/commit/0507e27d49749501ebf2db85d210dee03da59315"
+        },
+        "date": 1735956881897,
+        "tool": "customSmallerIsBetter",
+        "benches": [
+          {
+            "name": "{\"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 A100-SXM4-80GB x 1\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\"}",
+            "value": 39.95057515179117,
+            "unit": "ms",
+            "extra": "{\"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}\", \"benchmarking_context\": {\"vllm_version\": \"0.6.3.0.20250104\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\", \"torch_cuda_version\": \"12.1\", \"cuda_devices\": \"[_CudaDeviceProperties(name='NVIDIA A100-SXM4-80GB', major=8, minor=0, total_memory=81049MB, multi_processor_count=108)]\", \"cuda_device_names\": [\"NVIDIA A100-SXM4-80GB\"]}, \"gpu_description\": \"NVIDIA A100-SXM4-80GB x 1\", \"script_name\": \"benchmark_serving.py\", \"script_args\": {\"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}\", \"backend\": \"vllm\", \"version\": \"N/A\", \"base_url\": null, \"host\": \"127.0.0.1\", \"port\": 9000, \"endpoint\": \"/generate\", \"dataset\": \"sharegpt\", \"num_input_tokens\": null, \"num_output_tokens\": null, \"model\": \"facebook/opt-350m\", \"tokenizer\": \"facebook/opt-350m\", \"best_of\": 1, \"use_beam_search\": false, \"log_model_io\": false, \"seed\": 0, \"trust_remote_code\": false, \"disable_tqdm\": false, \"save_directory\": \"benchmark-results\", \"num_prompts_\": null, \"request_rate_\": null, \"nr_qps_pair_\": [300, \"1.0\"], \"server_tensor_parallel_size\": 1, \"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': ''}\"}, \"date\": \"2025-01-04 02:06:56 UTC\", \"model\": \"facebook/opt-350m\", \"dataset\": \"sharegpt\"}"
+          },
+          {
+            "name": "{\"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 A100-SXM4-80GB x 1\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\"}",
+            "value": 4.592929580006468,
+            "unit": "ms",
+            "extra": "{\"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}\", \"benchmarking_context\": {\"vllm_version\": \"0.6.3.0.20250104\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\", \"torch_cuda_version\": \"12.1\", \"cuda_devices\": \"[_CudaDeviceProperties(name='NVIDIA A100-SXM4-80GB', major=8, minor=0, total_memory=81049MB, multi_processor_count=108)]\", \"cuda_device_names\": [\"NVIDIA A100-SXM4-80GB\"]}, \"gpu_description\": \"NVIDIA A100-SXM4-80GB x 1\", \"script_name\": \"benchmark_serving.py\", \"script_args\": {\"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}\", \"backend\": \"vllm\", \"version\": \"N/A\", \"base_url\": null, \"host\": \"127.0.0.1\", \"port\": 9000, \"endpoint\": \"/generate\", \"dataset\": \"sharegpt\", \"num_input_tokens\": null, \"num_output_tokens\": null, \"model\": \"facebook/opt-350m\", \"tokenizer\": \"facebook/opt-350m\", \"best_of\": 1, \"use_beam_search\": false, \"log_model_io\": false, \"seed\": 0, \"trust_remote_code\": false, \"disable_tqdm\": false, \"save_directory\": \"benchmark-results\", \"num_prompts_\": null, \"request_rate_\": null, \"nr_qps_pair_\": [300, \"1.0\"], \"server_tensor_parallel_size\": 1, \"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': ''}\"}, \"date\": \"2025-01-04 02:06:56 UTC\", \"model\": \"facebook/opt-350m\", \"dataset\": \"sharegpt\"}"
+          },
+          {
+            "name": "{\"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 A100-SXM4-80GB x 1\", \"python_version\": \"3.10.12\", \"torch_version\": \"2.4.0+cu121\"}",
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