Nivose commited on
Commit
487862c
·
verified ·
1 Parent(s): 496b27e

Upload 10 files

Browse files

J'ai ajouter le nbrequest et adapté les commentaires

report_SSG_inference_question-answering_privateCloud_35348ab0-1abf-4839-9f2c-33c5e9b10fe4.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "header": {
3
+ "reportId":"b502f765-2c20-4f4a-9265-5126c5b4eba0",
4
+ "reportDatetime":"2024-09-30T09:10:41",
5
+ "reportStatus":"final",
6
+ "publisher": {
7
+ "name":"SopraSteriaGroup",
8
+ "division":"sustAIn",
9
+ "projectName":"GA2I",
10
+ "confidentialityLevel":"public"
11
+ }
12
+ },
13
+ "task": {
14
+ "taskFamily":"question-answering",
15
+ "taskStage":"inference",
16
+ "nbRequest":104,
17
+ "algorithms": [
18
+ {
19
+ "algorithmType":"llm",
20
+ "foundationModelName":"llama2-13b",
21
+ "parametersNumber":13.0,
22
+ "framework":"vllm",
23
+ "quantization":"q16"
24
+ }
25
+ ],
26
+ "dataset": [
27
+ {
28
+ "dataUsage":"input",
29
+ "dataType":"token",
30
+ "dataQuantity":3225,
31
+ "source":"private",
32
+ "owner":"SSG"
33
+ }
34
+ ],
35
+ "estimatedAccuracy":"good",
36
+ "taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
37
+ },
38
+ "measures": [
39
+ {
40
+ "measurementMethod":"codecarbon",
41
+ "version":"2.5.0",
42
+ "cpuTrackingMode":"machine",
43
+ "gpuTrackingMode":"machine",
44
+ "powerConsumption":0.0048764027775579,
45
+ "measurementDuration":34.46843481063843,
46
+ "measurementDateTime":"2024-09-30T09:10:41"
47
+ }
48
+ ],
49
+ "system": {
50
+ "os":"Linux-5.15.0-116-generic-x86_64-with-glibc2.35"
51
+ },
52
+ "software": {
53
+ "language":"python",
54
+ "version":"3.10.12"
55
+ },
56
+ "infrastructure": {
57
+ "infraType":"privateCloud",
58
+ "cloudProvider":"OVH-v100s",
59
+ "components": [
60
+ {
61
+ "componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
62
+ "componentType":"cpu",
63
+ "nbComponent":30
64
+ }
65
+ ]
66
+ },
67
+ "environment": {
68
+ "country":"France",
69
+ "latitude":48.8582,
70
+ "longitude":2.3387
71
+ },
72
+ "quality":"high"
73
+ }
report_SSG_inference_question-answering_privateCloud_372309f6-196b-4286-98a2-67ddb959ebe5.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "header": {
3
+ "reportId":"a3342146-0d82-4501-acf4-47cb7d9fda17",
4
+ "reportDatetime":"2024-10-22T05:44:53",
5
+ "reportStatus":"final",
6
+ "publisher": {
7
+ "name":"SopraSteriaGroup",
8
+ "division":"sustAIn",
9
+ "projectName":"GA2I",
10
+ "confidentialityLevel":"public"
11
+ }
12
+ },
13
+ "task": {
14
+ "taskFamily":"question-answering",
15
+ "taskStage":"inference",
16
+ "nbRequest":104,
17
+ "algorithms": [
18
+ {
19
+ "algorithmType":"llm",
20
+ "foundationModelName":"phi3med-14b",
21
+ "parametersNumber":14.0,
22
+ "framework":"vllm",
23
+ "quantization":"q16"
24
+ }
25
+ ],
26
+ "dataset": [
27
+ {
28
+ "dataUsage":"input",
29
+ "dataType":"token",
30
+ "dataQuantity":3533,
31
+ "source":"private",
32
+ "owner":"SSG"
33
+ }
34
+ ],
35
+ "estimatedAccuracy":"good",
36
+ "taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
37
+ },
38
+ "measures": [
39
+ {
40
+ "measurementMethod":"codecarbon",
41
+ "version":"2.5.0",
42
+ "cpuTrackingMode":"machine",
43
+ "gpuTrackingMode":"machine",
44
+ "powerConsumption":0.0111332190261356,
45
+ "measurementDuration":84.0584135055542,
46
+ "measurementDateTime":"2024-10-22T05:44:53"
47
+ }
48
+ ],
49
+ "system": {
50
+ "os":"Linux-5.15.0-116-generic-x86_64-with-glibc2.35"
51
+ },
52
+ "software": {
53
+ "language":"python",
54
+ "version":"3.10.12"
55
+ },
56
+ "infrastructure": {
57
+ "infraType":"privateCloud",
58
+ "cloudProvider":"OVH-v100s",
59
+ "components": [
60
+ {
61
+ "componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
62
+ "componentType":"cpu",
63
+ "nbComponent":30
64
+ }
65
+ ]
66
+ },
67
+ "environment": {
68
+ "country":"France",
69
+ "latitude":48.8582,
70
+ "longitude":2.3387
71
+ },
72
+ "quality":"high"
73
+ }
report_SSG_inference_question-answering_privateCloud_3adf12f2-31a3-454a-a9d7-6e1710a412f2.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "header": {
3
+ "reportId":"35348ab0-1abf-4839-9f2c-33c5e9b10fe4",
4
+ "reportDatetime":"2024-09-30T08:28:17",
5
+ "reportStatus":"final",
6
+ "publisher": {
7
+ "name":"SopraSteriaGroup",
8
+ "division":"sustAIn",
9
+ "projectName":"GA2I",
10
+ "confidentialityLevel":"public"
11
+ }
12
+ },
13
+ "task": {
14
+ "taskFamily":"question-answering",
15
+ "taskStage":"inference",
16
+ "nbRequest":104,
17
+ "algorithms": [
18
+ {
19
+ "algorithmType":"llm",
20
+ "foundationModelName":"llama2-13b",
21
+ "parametersNumber":13.0,
22
+ "framework":"vllm",
23
+ "quantization":"q16"
24
+ }
25
+ ],
26
+ "dataset": [
27
+ {
28
+ "dataUsage":"input",
29
+ "dataType":"token",
30
+ "dataQuantity":3225,
31
+ "source":"private",
32
+ "owner":"SSG"
33
+ }
34
+ ],
35
+ "estimatedAccuracy":"good",
36
+ "taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
37
+ },
38
+ "measures": [
39
+ {
40
+ "measurementMethod":"codecarbon",
41
+ "version":"2.5.0",
42
+ "cpuTrackingMode":"machine",
43
+ "gpuTrackingMode":"machine",
44
+ "powerConsumption":0.0016147225036887,
45
+ "measurementDuration":11.497305870056152,
46
+ "measurementDateTime":"2024-09-30T08:28:17"
47
+ }
48
+ ],
49
+ "system": {
50
+ "os":"Linux-5.15.0-116-generic-x86_64-with-glibc2.35"
51
+ },
52
+ "software": {
53
+ "language":"python",
54
+ "version":"3.10.12"
55
+ },
56
+ "infrastructure": {
57
+ "infraType":"privateCloud",
58
+ "cloudProvider":"OVH-v100s",
59
+ "components": [
60
+ {
61
+ "componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
62
+ "componentType":"cpu",
63
+ "nbComponent":30
64
+ }
65
+ ]
66
+ },
67
+ "environment": {
68
+ "country":"France",
69
+ "latitude":48.8582,
70
+ "longitude":2.3387
71
+ },
72
+ "quality":"high"
73
+ }
report_SSG_inference_question-answering_privateCloud_3d11ef38-e5f9-43f0-ac25-fcdd61115133.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "header": {
3
+ "reportId":"1493516d-828f-496f-84e1-2eb5b24845ff",
4
+ "reportDatetime":"2024-11-07T09:45:29",
5
+ "reportStatus":"final",
6
+ "publisher": {
7
+ "name":"SopraSteriaGroup",
8
+ "division":"sustAIn",
9
+ "projectName":"GA2I",
10
+ "confidentialityLevel":"public"
11
+ }
12
+ },
13
+ "task": {
14
+ "taskFamily":"question-answering",
15
+ "taskStage":"inference",
16
+ "nbRequest":104,
17
+ "algorithms": [
18
+ {
19
+ "algorithmType":"llm",
20
+ "foundationModelName":"meta-llama-3-13b-instruct-gguf",
21
+ "parametersNumber":13.0,
22
+ "framework":"llamacpp",
23
+ "quantization":"q6k"
24
+ }
25
+ ],
26
+ "dataset": [
27
+ {
28
+ "dataUsage":"input",
29
+ "dataType":"token",
30
+ "dataQuantity":5930,
31
+ "source":"private",
32
+ "owner":"SSG"
33
+ }
34
+ ],
35
+ "estimatedAccuracy":"good",
36
+ "taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
37
+ },
38
+ "measures": [
39
+ {
40
+ "measurementMethod":"codecarbon",
41
+ "version":"2.5.0",
42
+ "cpuTrackingMode":"machine",
43
+ "gpuTrackingMode":"machine",
44
+ "powerConsumption":0.0010697891100869,
45
+ "measurementDuration":15.013213634490969,
46
+ "measurementDateTime":"2024-11-07T09:45:29"
47
+ }
48
+ ],
49
+ "system": {
50
+ "os":"Linux-5.15.0-124-generic-x86_64-with-glibc2.35"
51
+ },
52
+ "software": {
53
+ "language":"python",
54
+ "version":"3.10.12"
55
+ },
56
+ "infrastructure": {
57
+ "infraType":"privateCloud",
58
+ "cloudProvider":"OVH-v100s",
59
+ "components": [
60
+ {
61
+ "componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
62
+ "componentType":"cpu",
63
+ "nbComponent":30
64
+ }
65
+ ]
66
+ },
67
+ "environment": {
68
+ "country":"France",
69
+ "latitude":48.8582,
70
+ "longitude":2.3387
71
+ },
72
+ "quality":"high"
73
+ }
report_SSG_inference_question-answering_privateCloud_66b9b016-e026-4d02-ae96-b83e978897c7.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "header": {
3
+ "reportId":"3d11ef38-e5f9-43f0-ac25-fcdd61115133",
4
+ "reportDatetime":"2024-11-06T10:15:23",
5
+ "reportStatus":"final",
6
+ "publisher": {
7
+ "name":"SopraSteriaGroup",
8
+ "division":"sustAIn",
9
+ "projectName":"GA2I",
10
+ "confidentialityLevel":"public"
11
+ }
12
+ },
13
+ "task": {
14
+ "taskFamily":"question-answering",
15
+ "taskStage":"inference",
16
+ "nbRequest":104,
17
+ "algorithms": [
18
+ {
19
+ "algorithmType":"llm",
20
+ "foundationModelName":"meta-llama-3-13b-instruct-gguf",
21
+ "parametersNumber":13.0,
22
+ "framework":"llamacpp",
23
+ "quantization":"8bit0"
24
+ }
25
+ ],
26
+ "dataset": [
27
+ {
28
+ "dataUsage":"input",
29
+ "dataType":"token",
30
+ "dataQuantity":5930,
31
+ "source":"private",
32
+ "owner":"SSG"
33
+ }
34
+ ],
35
+ "estimatedAccuracy":"good",
36
+ "taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
37
+ },
38
+ "measures": [
39
+ {
40
+ "measurementMethod":"codecarbon",
41
+ "version":"2.5.0",
42
+ "cpuTrackingMode":"machine",
43
+ "gpuTrackingMode":"machine",
44
+ "powerConsumption":0.0007014954565571,
45
+ "measurementDuration":10.449934482574465,
46
+ "measurementDateTime":"2024-11-06T10:15:23"
47
+ }
48
+ ],
49
+ "system": {
50
+ "os":"Linux-5.15.0-124-generic-x86_64-with-glibc2.35"
51
+ },
52
+ "software": {
53
+ "language":"python",
54
+ "version":"3.10.12"
55
+ },
56
+ "infrastructure": {
57
+ "infraType":"privateCloud",
58
+ "cloudProvider":"OVH-v100s",
59
+ "components": [
60
+ {
61
+ "componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
62
+ "componentType":"cpu",
63
+ "nbComponent":30
64
+ }
65
+ ]
66
+ },
67
+ "environment": {
68
+ "country":"France",
69
+ "latitude":48.8582,
70
+ "longitude":2.3387
71
+ },
72
+ "quality":"high"
73
+ }
report_SSG_inference_question-answering_privateCloud_70d6ebc5-7244-49c4-9603-6522d78db536.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "header": {
3
+ "reportId":"372309f6-196b-4286-98a2-67ddb959ebe5",
4
+ "reportDatetime":"2024-10-16T07:26:12",
5
+ "reportStatus":"final",
6
+ "publisher": {
7
+ "name":"SopraSteriaGroup",
8
+ "division":"sustAIn",
9
+ "projectName":"GA2I",
10
+ "confidentialityLevel":"public"
11
+ }
12
+ },
13
+ "task": {
14
+ "taskFamily":"question-answering",
15
+ "taskStage":"inference",
16
+ "nbRequest":104,
17
+ "algorithms": [
18
+ {
19
+ "algorithmType":"llm",
20
+ "foundationModelName":"llama3-8b",
21
+ "parametersNumber":8.0,
22
+ "framework":"vllm",
23
+ "quantization":"q16"
24
+ }
25
+ ],
26
+ "dataset": [
27
+ {
28
+ "dataUsage":"input",
29
+ "dataType":"token",
30
+ "dataQuantity":2987,
31
+ "source":"private",
32
+ "owner":"SSG"
33
+ }
34
+ ],
35
+ "estimatedAccuracy":"good",
36
+ "taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
37
+ },
38
+ "measures": [
39
+ {
40
+ "measurementMethod":"codecarbon",
41
+ "version":"2.5.0",
42
+ "cpuTrackingMode":"machine",
43
+ "gpuTrackingMode":"machine",
44
+ "powerConsumption":0.0006877453643107,
45
+ "measurementDuration":5.442811965942383,
46
+ "measurementDateTime":"2024-10-16T07:26:12"
47
+ }
48
+ ],
49
+ "system": {
50
+ "os":"Linux-5.15.0-116-generic-x86_64-with-glibc2.35"
51
+ },
52
+ "software": {
53
+ "language":"python",
54
+ "version":"3.10.12"
55
+ },
56
+ "infrastructure": {
57
+ "infraType":"privateCloud",
58
+ "cloudProvider":"OVH-v100s",
59
+ "components": [
60
+ {
61
+ "componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
62
+ "componentType":"cpu",
63
+ "nbComponent":30
64
+ }
65
+ ]
66
+ },
67
+ "environment": {
68
+ "country":"France",
69
+ "latitude":48.8582,
70
+ "longitude":2.3387
71
+ },
72
+ "quality":"high"
73
+ }
report_SSG_inference_question-answering_privateCloud_9237143f-fd40-45e6-bf72-51d45f5401fa.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "header": {
3
+ "reportId":"70d6ebc5-7244-49c4-9603-6522d78db536",
4
+ "reportDatetime":"2024-10-10T09:20:16",
5
+ "reportStatus":"final",
6
+ "publisher": {
7
+ "name":"SopraSteriaGroup",
8
+ "division":"sustAIn",
9
+ "projectName":"GA2I",
10
+ "confidentialityLevel":"public"
11
+ }
12
+ },
13
+ "task": {
14
+ "taskFamily":"question-answering",
15
+ "taskStage":"inference",
16
+ "nbRequest":104,
17
+ "algorithms": [
18
+ {
19
+ "algorithmType":"llm",
20
+ "foundationModelName":"mistral-7b",
21
+ "parametersNumber":7.0,
22
+ "framework":"vllm",
23
+ "quantization":"q16"
24
+ }
25
+ ],
26
+ "dataset": [
27
+ {
28
+ "dataUsage":"input",
29
+ "dataType":"token",
30
+ "dataQuantity":3159,
31
+ "source":"private",
32
+ "owner":"SSG"
33
+ }
34
+ ],
35
+ "estimatedAccuracy":"good",
36
+ "taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
37
+ },
38
+ "measures": [
39
+ {
40
+ "measurementMethod":"codecarbon",
41
+ "version":"2.5.0",
42
+ "cpuTrackingMode":"machine",
43
+ "gpuTrackingMode":"machine",
44
+ "powerConsumption":0.0005677864944745,
45
+ "measurementDuration":4.518536329269409,
46
+ "measurementDateTime":"2024-10-10T09:20:16"
47
+ }
48
+ ],
49
+ "system": {
50
+ "os":"Linux-5.15.0-116-generic-x86_64-with-glibc2.35"
51
+ },
52
+ "software": {
53
+ "language":"python",
54
+ "version":"3.10.12"
55
+ },
56
+ "infrastructure": {
57
+ "infraType":"privateCloud",
58
+ "cloudProvider":"OVH-v100s",
59
+ "components": [
60
+ {
61
+ "componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
62
+ "componentType":"cpu",
63
+ "nbComponent":30
64
+ }
65
+ ]
66
+ },
67
+ "environment": {
68
+ "country":"France",
69
+ "latitude":48.8582,
70
+ "longitude":2.3387
71
+ },
72
+ "quality":"high"
73
+ }
report_SSG_inference_question-answering_privateCloud_a3342146-0d82-4501-acf4-47cb7d9fda17.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "header": {
3
+ "reportId":"bd01b8bb-5c3f-44ef-b1f8-81e7bb3305ed",
4
+ "reportDatetime":"2024-10-23T08:02:59",
5
+ "reportStatus":"final",
6
+ "publisher": {
7
+ "name":"SopraSteriaGroup",
8
+ "division":"sustAIn",
9
+ "projectName":"GA2I",
10
+ "confidentialityLevel":"public"
11
+ }
12
+ },
13
+ "task": {
14
+ "taskFamily":"question-answering",
15
+ "taskStage":"inference",
16
+ "nbRequest":104,
17
+ "algorithms": [
18
+ {
19
+ "algorithmType":"llm",
20
+ "foundationModelName":"phi3med-14b",
21
+ "parametersNumber":14.0,
22
+ "framework":"vllm",
23
+ "quantization":"q16"
24
+ }
25
+ ],
26
+ "dataset": [
27
+ {
28
+ "dataUsage":"input",
29
+ "dataType":"token",
30
+ "dataQuantity":3533,
31
+ "source":"private",
32
+ "owner":"SSG"
33
+ }
34
+ ],
35
+ "estimatedAccuracy":"good",
36
+ "taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
37
+ },
38
+ "measures": [
39
+ {
40
+ "measurementMethod":"codecarbon",
41
+ "version":"2.5.0",
42
+ "cpuTrackingMode":"machine",
43
+ "gpuTrackingMode":"machine",
44
+ "powerConsumption":0.0157068207062144,
45
+ "measurementDuration":119.17674136161804,
46
+ "measurementDateTime":"2024-10-23T08:02:59"
47
+ }
48
+ ],
49
+ "system": {
50
+ "os":"Linux-5.15.0-116-generic-x86_64-with-glibc2.35"
51
+ },
52
+ "software": {
53
+ "language":"python",
54
+ "version":"3.10.12"
55
+ },
56
+ "infrastructure": {
57
+ "infraType":"privateCloud",
58
+ "cloudProvider":"OVH-v100s",
59
+ "components": [
60
+ {
61
+ "componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
62
+ "componentType":"cpu",
63
+ "nbComponent":30
64
+ }
65
+ ]
66
+ },
67
+ "environment": {
68
+ "country":"France",
69
+ "latitude":48.7898,
70
+ "longitude":2.5447
71
+ },
72
+ "quality":"high"
73
+ }
report_SSG_inference_question-answering_privateCloud_b502f765-2c20-4f4a-9265-5126c5b4eba0.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "header": {
3
+ "reportId":"9237143f-fd40-45e6-bf72-51d45f5401fa",
4
+ "reportDatetime":"2024-10-10T06:55:22",
5
+ "reportStatus":"final",
6
+ "publisher": {
7
+ "name":"SopraSteriaGroup",
8
+ "division":"sustAIn",
9
+ "projectName":"GA2I",
10
+ "confidentialityLevel":"public"
11
+ }
12
+ },
13
+ "task": {
14
+ "taskFamily":"question-answering",
15
+ "taskStage":"inference",
16
+ "nbRequest":10,
17
+ "algorithms": [
18
+ {
19
+ "algorithmType":"llm",
20
+ "foundationModelName":"llama2-13b",
21
+ "parametersNumber":13.0,
22
+ "framework":"vllm",
23
+ "quantization":"q16"
24
+ }
25
+ ],
26
+ "dataset": [
27
+ {
28
+ "dataUsage":"input",
29
+ "dataType":"token",
30
+ "dataQuantity":1817,
31
+ "source":"private",
32
+ "owner":"SSG"
33
+ }
34
+ ],
35
+ "estimatedAccuracy":"good",
36
+ "taskDescription":"10 Simple question answer with (Average : 11 Tokens). Test on a single GPU Even if the node have 2 available GPU."
37
+ },
38
+ "measures": [
39
+ {
40
+ "measurementMethod":"codecarbon",
41
+ "version":"2.5.0",
42
+ "cpuTrackingMode":"machine",
43
+ "gpuTrackingMode":"machine",
44
+ "powerConsumption":0.0006318521200859,
45
+ "measurementDuration":4.509745121002197,
46
+ "measurementDateTime":"2024-10-10T06:55:22"
47
+ }
48
+ ],
49
+ "system": {
50
+ "os":"Linux-5.15.0-116-generic-x86_64-with-glibc2.35"
51
+ },
52
+ "software": {
53
+ "language":"python",
54
+ "version":"3.10.12"
55
+ },
56
+ "infrastructure": {
57
+ "infraType":"privateCloud",
58
+ "cloudProvider":"OVH-v100s",
59
+ "components": [
60
+ {
61
+ "componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
62
+ "componentType":"cpu",
63
+ "nbComponent":30
64
+ }
65
+ ]
66
+ },
67
+ "environment": {
68
+ "country":"France",
69
+ "latitude":48.8582,
70
+ "longitude":2.3387
71
+ },
72
+ "quality":"high"
73
+ }
report_SSG_inference_question-answering_privateCloud_bd01b8bb-5c3f-44ef-b1f8-81e7bb3305ed.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "header": {
3
+ "reportId":"66b9b016-e026-4d02-ae96-b83e978897c7",
4
+ "reportDatetime":"2024-10-30T10:12:49",
5
+ "reportStatus":"final",
6
+ "publisher": {
7
+ "name":"SopraSteriaGroup",
8
+ "division":"sustAIn",
9
+ "projectName":"GA2I",
10
+ "confidentialityLevel":"public"
11
+ }
12
+ },
13
+ "task": {
14
+ "taskFamily":"question-answering",
15
+ "taskStage":"inference",
16
+ "nbRequest":104,
17
+ "algorithms": [
18
+ {
19
+ "algorithmType":"llm",
20
+ "foundationModelName":"mistral-7b-instruct",
21
+ "parametersNumber":7.0,
22
+ "framework":"vllm",
23
+ "quantization":"q16"
24
+ }
25
+ ],
26
+ "dataset": [
27
+ {
28
+ "dataUsage":"input",
29
+ "dataType":"token",
30
+ "dataQuantity":4101,
31
+ "source":"private",
32
+ "owner":"SSG"
33
+ }
34
+ ],
35
+ "estimatedAccuracy":"good",
36
+ "taskDescription":"Simple question answer with 104 questions from simple ones to contextualised one. Dataset : 92 simple questions (Average : 11 Tokens) and 12 contextualized questions (On average question of 15 Tokens and contexts of 160 Tokens). Test on a single GPU Even if the node have 2 available GPU."
37
+ },
38
+ "measures": [
39
+ {
40
+ "measurementMethod":"codecarbon",
41
+ "version":"2.5.0",
42
+ "cpuTrackingMode":"machine",
43
+ "gpuTrackingMode":"machine",
44
+ "powerConsumption":0.0008431335305842,
45
+ "measurementDuration":6.305508852005005,
46
+ "measurementDateTime":"2024-10-30T10:12:49"
47
+ }
48
+ ],
49
+ "system": {
50
+ "os":"Linux-5.15.0-124-generic-x86_64-with-glibc2.35"
51
+ },
52
+ "software": {
53
+ "language":"python",
54
+ "version":"3.10.12"
55
+ },
56
+ "infrastructure": {
57
+ "infraType":"privateCloud",
58
+ "cloudProvider":"OVH-v100s",
59
+ "components": [
60
+ {
61
+ "componentName":"Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz",
62
+ "componentType":"cpu",
63
+ "nbComponent":30
64
+ }
65
+ ]
66
+ },
67
+ "environment": {
68
+ "country":"France",
69
+ "latitude":48.7898,
70
+ "longitude":2.5447
71
+ },
72
+ "quality":"high"
73
+ }