Upload benchmarks/2.3.0-4bit-gptq-exllama-v2.json with huggingface_hub
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benchmarks/2.3.0-4bit-gptq-exllama-v2.json
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| 1 |
+
{
|
| 2 |
+
"config": {
|
| 3 |
+
"name": "pytorch-llama",
|
| 4 |
+
"backend": {
|
| 5 |
+
"name": "pytorch",
|
| 6 |
+
"version": "2.3.0",
|
| 7 |
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"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
| 8 |
+
"task": "text-generation",
|
| 9 |
+
"library": "transformers",
|
| 10 |
+
"model": "meta-llama/Llama-2-7b-hf",
|
| 11 |
+
"processor": "meta-llama/Llama-2-7b-hf",
|
| 12 |
+
"device": "cuda",
|
| 13 |
+
"device_ids": "0",
|
| 14 |
+
"seed": 42,
|
| 15 |
+
"inter_op_num_threads": null,
|
| 16 |
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"intra_op_num_threads": null,
|
| 17 |
+
"model_kwargs": {},
|
| 18 |
+
"processor_kwargs": {},
|
| 19 |
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"hub_kwargs": {},
|
| 20 |
+
"no_weights": true,
|
| 21 |
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"device_map": null,
|
| 22 |
+
"torch_dtype": "float16",
|
| 23 |
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"eval_mode": true,
|
| 24 |
+
"to_bettertransformer": false,
|
| 25 |
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"low_cpu_mem_usage": null,
|
| 26 |
+
"attn_implementation": null,
|
| 27 |
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"cache_implementation": null,
|
| 28 |
+
"autocast_enabled": false,
|
| 29 |
+
"autocast_dtype": null,
|
| 30 |
+
"torch_compile": false,
|
| 31 |
+
"torch_compile_target": "forward",
|
| 32 |
+
"torch_compile_config": {},
|
| 33 |
+
"quantization_scheme": "gptq",
|
| 34 |
+
"quantization_config": {
|
| 35 |
+
"bits": 4,
|
| 36 |
+
"use_exllama ": true,
|
| 37 |
+
"version": 2,
|
| 38 |
+
"model_seqlen": 256
|
| 39 |
+
},
|
| 40 |
+
"deepspeed_inference": false,
|
| 41 |
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"deepspeed_inference_config": {},
|
| 42 |
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"tensor_parallel": false,
|
| 43 |
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"peft_type": null,
|
| 44 |
+
"peft_config": {}
|
| 45 |
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},
|
| 46 |
+
"scenario": {
|
| 47 |
+
"name": "inference",
|
| 48 |
+
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
|
| 49 |
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"iterations": 10,
|
| 50 |
+
"duration": 10,
|
| 51 |
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"warmup_runs": 10,
|
| 52 |
+
"input_shapes": {
|
| 53 |
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"batch_size": 1,
|
| 54 |
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"num_choices": 2,
|
| 55 |
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"sequence_length": 128
|
| 56 |
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},
|
| 57 |
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"new_tokens": null,
|
| 58 |
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"latency": true,
|
| 59 |
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"memory": true,
|
| 60 |
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"energy": false,
|
| 61 |
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"forward_kwargs": {},
|
| 62 |
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"generate_kwargs": {
|
| 63 |
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"max_new_tokens": 32,
|
| 64 |
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"min_new_tokens": 32
|
| 65 |
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},
|
| 66 |
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"call_kwargs": {}
|
| 67 |
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},
|
| 68 |
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"launcher": {
|
| 69 |
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"name": "process",
|
| 70 |
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"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
|
| 71 |
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"device_isolation": true,
|
| 72 |
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"device_isolation_action": "warn",
|
| 73 |
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"numactl": false,
|
| 74 |
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"numactl_kwargs": {},
|
| 75 |
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"start_method": "spawn"
|
| 76 |
+
},
|
| 77 |
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"environment": {
|
| 78 |
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"cpu": " AMD EPYC 7742 64-Core Processor",
|
| 79 |
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"cpu_count": 128,
|
| 80 |
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"cpu_ram_mb": 540671.627264,
|
| 81 |
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"system": "Linux",
|
| 82 |
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"machine": "x86_64",
|
| 83 |
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"platform": "Linux-5.4.0-166-generic-x86_64-with-glibc2.35",
|
| 84 |
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"processor": "x86_64",
|
| 85 |
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"python_version": "3.10.12",
|
| 86 |
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"gpu": [
|
| 87 |
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"NVIDIA A100-SXM4-80GB",
|
| 88 |
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"NVIDIA A100-SXM4-80GB",
|
| 89 |
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"NVIDIA A100-SXM4-80GB",
|
| 90 |
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"NVIDIA DGX Display",
|
| 91 |
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"NVIDIA A100-SXM4-80GB"
|
| 92 |
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],
|
| 93 |
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"gpu_count": 5,
|
| 94 |
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"gpu_vram_mb": 347892350976,
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| 95 |
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"optimum_benchmark_version": "0.2.1",
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| 96 |
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"optimum_benchmark_commit": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
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| 97 |
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"transformers_version": "4.41.1",
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| 98 |
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| 99 |
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"accelerate_version": "0.30.1",
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| 100 |
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| 101 |
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|
| 102 |
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|
| 103 |
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"optimum_version": "1.20.0",
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| 104 |
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| 105 |
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| 106 |
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| 107 |
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| 108 |
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"peft_commit": null
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| 109 |
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}
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| 110 |
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},
|
| 111 |
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"report": {
|
| 112 |
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"prefill": {
|
| 113 |
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"memory": {
|
| 114 |
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"unit": "MB",
|
| 115 |
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"max_ram": 3926.708224,
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| 116 |
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"max_global_vram": 6031.343616,
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| 117 |
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"max_process_vram": 5104.467968,
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| 118 |
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"max_reserved": 4571.79136,
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| 119 |
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| 120 |
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},
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| 121 |
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"latency": {
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| 122 |
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"unit": "s",
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| 123 |
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"count": 10,
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| 124 |
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"total": 1.5538863983154299,
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| 125 |
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"mean": 0.15538863983154297,
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| 126 |
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"stdev": 0.0003802223292604855,
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| 127 |
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"p50": 0.15541059112548827,
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| 128 |
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"p90": 0.15579572753906248,
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| 129 |
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"p95": 0.15584103240966796,
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| 130 |
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"p99": 0.15587727630615233,
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| 131 |
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"values": [
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| 132 |
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| 134 |
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| 135 |
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]
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| 143 |
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},
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| 144 |
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"throughput": {
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| 145 |
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"unit": "tokens/s",
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| 146 |
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"value": 823.7410414221076
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| 147 |
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},
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| 148 |
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"energy": null,
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| 149 |
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"efficiency": null
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| 151 |
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| 152 |
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| 153 |
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+
"throughput": {
|
| 515 |
+
"unit": "tokens/s",
|
| 516 |
+
"value": 6.539419674768139
|
| 517 |
+
},
|
| 518 |
+
"energy": null,
|
| 519 |
+
"efficiency": null
|
| 520 |
+
}
|
| 521 |
+
}
|
| 522 |
+
}
|