submission_id: cycy233-misllm-v6-2-2-5_v17
developer_uid: realhusoyun
best_of: 8
celo_rating: 1227.32
display_name: cycy233-misllm-v6-2-2-5_v17
family_friendly_score: 0.0
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/misllm_v6.2.2.5
latencies: [{'batch_size': 1, 'throughput': 0.918864083089928, 'latency_mean': 1.0882371664047241, 'latency_p50': 1.087591528892517, 'latency_p90': 1.2003888845443726}, {'batch_size': 4, 'throughput': 1.9551652183771866, 'latency_mean': 2.036722424030304, 'latency_p50': 2.0288126468658447, 'latency_p90': 2.2882876634597777}, {'batch_size': 5, 'throughput': 2.1108647898254955, 'latency_mean': 2.3535479068756104, 'latency_p50': 2.35177218914032, 'latency_p90': 2.649502420425415}, {'batch_size': 8, 'throughput': 2.311939330752603, 'latency_mean': 3.4386370289325714, 'latency_p50': 3.470090389251709, 'latency_p90': 3.8275163650512694}, {'batch_size': 10, 'throughput': 2.372004666561133, 'latency_mean': 4.186639606952667, 'latency_p50': 4.23056697845459, 'latency_p90': 4.686558485031128}, {'batch_size': 12, 'throughput': 2.388096827597477, 'latency_mean': 4.974529534578323, 'latency_p50': 4.995987415313721, 'latency_p90': 5.661180138587952}, {'batch_size': 15, 'throughput': 2.4066628491826743, 'latency_mean': 6.14003152012825, 'latency_p50': 6.149515748023987, 'latency_p90': 6.905180811882019}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: cycy233/misllm_v6.2.2.5
model_name: cycy233-misllm-v6-2-2-5_v17
model_num_parameters: 7248023552.0
model_repo: cycy233/misllm_v6.2.2.5
model_size: 7B
num_battles: 20190
num_wins: 9753
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.35
timestamp: 2024-09-23T17:49:54+00:00
us_pacific_date: 2024-09-23
win_ratio: 0.48306092124814265
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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-2-2-5-v17-mkmlizer
Waiting for job on cycy233-misllm-v6-2-2-5-v17-mkmlizer to finish
cycy233-misllm-v6-2-2-5-v17-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v6-2-2-5-v17-mkmlizer: ║ ║
cycy233-misllm-v6-2-2-5-v17-mkmlizer: ║ Version: 0.10.1 ║
cycy233-misllm-v6-2-2-5-v17-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-2-2-5-v17-mkmlizer: ║ https://mk1.ai ║
cycy233-misllm-v6-2-2-5-v17-mkmlizer: ║ ║
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cycy233-misllm-v6-2-2-5-v17-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v6-2-2-5-v17-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v6-2-2-5-v17-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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cycy233-misllm-v6-2-2-5-v17-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-misllm-v6-2-2-5-v17-mkmlizer: Downloaded to shared memory in 37.496s
cycy233-misllm-v6-2-2-5-v17-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpx08l7neg, device:0
cycy233-misllm-v6-2-2-5-v17-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-2-2-5-v17-mkmlizer: quantized model in 18.319s
cycy233-misllm-v6-2-2-5-v17-mkmlizer: Processed model cycy233/misllm_v6.2.2.5 in 55.815s
cycy233-misllm-v6-2-2-5-v17-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-2-2-5-v17-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-2-2-5-v17-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v17
cycy233-misllm-v6-2-2-5-v17-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v17/special_tokens_map.json
cycy233-misllm-v6-2-2-5-v17-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v17/config.json
cycy233-misllm-v6-2-2-5-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v17/tokenizer_config.json
cycy233-misllm-v6-2-2-5-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v17/tokenizer.model
cycy233-misllm-v6-2-2-5-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v17/tokenizer.json
cycy233-misllm-v6-2-2-5-v17-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v17/flywheel_model.0.safetensors
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Job cycy233-misllm-v6-2-2-5-v17-mkmlizer completed after 85.03s with status: succeeded
Stopping job with name cycy233-misllm-v6-2-2-5-v17-mkmlizer
Pipeline stage MKMLizer completed in 88.06s
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Creating inference service cycy233-misllm-v6-2-2-5-v17
Waiting for inference service cycy233-misllm-v6-2-2-5-v17 to be ready
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Inference service cycy233-misllm-v6-2-2-5-v17 ready after 191.56600499153137s
Pipeline stage MKMLDeployer completed in 192.10s
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Received healthy response to inference request in 4.627571105957031s
Received healthy response to inference request in 1.321307897567749s
Received healthy response to inference request in 1.8185253143310547s
Received healthy response to inference request in 2.07145357131958s
Received healthy response to inference request in 1.3903822898864746s
5 requests
0 failed requests
5th percentile: 1.335122776031494
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70th percentile: 2.020867919921875
80th percentile: 2.5826770782470705
90th percentile: 3.6051240921020513
95th percentile: 4.116347599029541
99th percentile: 4.525326404571533
mean time: 2.245848035812378
Pipeline stage StressChecker completed in 12.03s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 6.44s
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Creating inference service cycy233-misllm-v6-2-2-5-v17-profiler
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Inference service cycy233-misllm-v6-2-2-5-v17-profiler ready after 190.435622215271s
Pipeline stage MKMLProfilerDeployer completed in 190.82s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-misllm-v6-2-2-5-v17-profiler-predictor-00001-deplonfztk:/code/chaiverse_profiler_1727114328 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-misllm-v6-2-2-5-v17-profiler-predictor-00001-deplonfztk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727114328 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1727114328/summary.json'
kubectl exec -it cycy233-misllm-v6-2-2-5-v17-profiler-predictor-00001-deplonfztk --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727114328/summary.json'
Pipeline stage MKMLProfilerRunner completed in 757.23s
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Checking if service cycy233-misllm-v6-2-2-5-v17-profiler is running
Tearing down inference service cycy233-misllm-v6-2-2-5-v17-profiler
Service cycy233-misllm-v6-2-2-5-v17-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.95s
Shutdown handler de-registered
cycy233-misllm-v6-2-2-5_v17 status is now inactive due to auto deactivation removed underperforming models
cycy233-misllm-v6-2-2-5_v17 status is now torndown due to DeploymentManager action