Upload benchmark results for run 18104056224
Browse files
2025-09-29/18104056224/benchmark_results/Llama-2-7b-hf/Llama-2-7b-hf_benchmark_20250929_164604.json
ADDED
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|
1 |
+
{
|
2 |
+
"model_name": "Llama-2-7b-hf",
|
3 |
+
"benchmark_scenarios": [
|
4 |
+
{
|
5 |
+
"scenario_name": "eager_eager_attn",
|
6 |
+
"metadata": {
|
7 |
+
"timestamp": "2025-09-29T16:42:51.007154",
|
8 |
+
"commit_id": "8635d8e796c77ee94f64c170168f71138380274b",
|
9 |
+
"hardware_info": {
|
10 |
+
"gpu_name": "unknown",
|
11 |
+
"gpu_memory_total_mb": 0,
|
12 |
+
"cpu_count": 160,
|
13 |
+
"memory_total_mb": 1285717,
|
14 |
+
"python_version": "3.12.10",
|
15 |
+
"torch_version": "2.7.1+rocm6.4.1.git2a215e4a",
|
16 |
+
"cuda_version": null
|
17 |
+
},
|
18 |
+
"config": {
|
19 |
+
"name": "eager",
|
20 |
+
"model_id": "meta-llama/Llama-2-7b-hf",
|
21 |
+
"variant": "eager",
|
22 |
+
"warmup_iterations": 3,
|
23 |
+
"measurement_iterations": 5,
|
24 |
+
"num_tokens_to_generate": 100,
|
25 |
+
"device": "cuda",
|
26 |
+
"torch_dtype": "float16",
|
27 |
+
"compile_mode": null,
|
28 |
+
"compile_options": {},
|
29 |
+
"use_cache": true,
|
30 |
+
"batch_size": 1,
|
31 |
+
"sequence_length": null,
|
32 |
+
"attn_implementation": "eager",
|
33 |
+
"sdpa_backend": null,
|
34 |
+
"custom_params": {}
|
35 |
+
}
|
36 |
+
},
|
37 |
+
"measurements": {
|
38 |
+
"latency_seconds": {
|
39 |
+
"name": "latency_seconds",
|
40 |
+
"measurements": [
|
41 |
+
1.823037841796875,
|
42 |
+
1.9389415283203124,
|
43 |
+
1.7958995361328125,
|
44 |
+
2.175377685546875,
|
45 |
+
2.024082763671875
|
46 |
+
],
|
47 |
+
"mean": 1.9514678710937503,
|
48 |
+
"median": 1.9389415283203124,
|
49 |
+
"std": 0.1387524530691676,
|
50 |
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"min": 1.7958995361328125,
|
51 |
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"max": 2.175377685546875,
|
52 |
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"p25": 1.823037841796875,
|
53 |
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"p75": 2.024082763671875,
|
54 |
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"p90": 2.114859716796875,
|
55 |
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"p95": 2.145118701171875,
|
56 |
+
"p99": 2.169325888671875,
|
57 |
+
"unit": "seconds"
|
58 |
+
},
|
59 |
+
"time_to_first_token_seconds": {
|
60 |
+
"name": "time_to_first_token_seconds",
|
61 |
+
"measurements": [
|
62 |
+
0.01879271125793457,
|
63 |
+
0.019078227996826173,
|
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