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workload_id
stringclasses
7 values
request_count
int64
100
5k
rate_per_second
float64
10
500
arrival_pattern
stringclasses
2 values
model_distribution
dict
priority_distribution
dict
prompt_len_range
listlengths
2
2
output_len_range
listlengths
2
2
slo_deadlines
dict
llm_heavy
5,000
500
poisson
{ "Qwen/Qwen2.5-14B-Instruct": 0.1, "Qwen/Qwen2.5-7B-Instruct": 0.4, "meta-llama/Llama-3.1-8B-Instruct": 0.3, "mistralai/Mistral-7B-Instruct-v0.3": 0.2 }
{ "HIGH": 0.3, "LOW": 0.2, "NORMAL": 0.5 }
[ 100, 500 ]
[ 200, 1000 ]
{ "HIGH": 400, "LOW": 1500, "NORMAL": 800 }
llm_light
100
10
poisson
{ "Qwen/Qwen2.5-14B-Instruct": null, "Qwen/Qwen2.5-7B-Instruct": 1, "meta-llama/Llama-3.1-8B-Instruct": null, "mistralai/Mistral-7B-Instruct-v0.3": null }
{ "HIGH": 0.1, "LOW": 0.1, "NORMAL": 0.8 }
[ 30, 100 ]
[ 50, 200 ]
{ "HIGH": 500, "LOW": 2000, "NORMAL": 1000 }
llm_medium
1,000
100
poisson
{ "Qwen/Qwen2.5-14B-Instruct": null, "Qwen/Qwen2.5-7B-Instruct": 0.5, "meta-llama/Llama-3.1-8B-Instruct": 0.3, "mistralai/Mistral-7B-Instruct-v0.3": 0.2 }
{ "HIGH": 0.2, "LOW": 0.2, "NORMAL": 0.6 }
[ 50, 200 ]
[ 100, 500 ]
{ "HIGH": 500, "LOW": 2000, "NORMAL": 1000 }
hybrid_balanced
1,000
100
poisson
null
{ "HIGH": 0.2, "LOW": 0.2, "NORMAL": 0.6 }
null
null
null
hybrid_burst
2,000
50
burst
null
{ "HIGH": 0.25, "LOW": 0.25, "NORMAL": 0.5 }
null
null
null
hybrid_embed_heavy
1,000
150
poisson
null
{ "HIGH": 0.1, "LOW": 0.2, "NORMAL": 0.7 }
null
null
null
hybrid_llm_heavy
1,000
100
poisson
null
{ "HIGH": 0.3, "LOW": 0.2, "NORMAL": 0.5 }
null
null
null
YAML Metadata Warning: The task_categories "benchmarking" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

SAGE Control Plane Workloads

Workload configurations for benchmarking Control Plane scheduling policies.

Usage

from datasets import load_dataset
workloads = load_dataset("intellistream/sage-control-plane-workloads")
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