submission_id: cycy233-nemo-p-e-v3-c1_v1
developer_uid: shiroe40
best_of: 8
celo_rating: 1278.43
display_name: auto
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': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/nemo-p-e-v3-c1
latencies: [{'batch_size': 1, 'throughput': 0.6130552113082499, 'latency_mean': 1.631076501607895, 'latency_p50': 1.6364953517913818, 'latency_p90': 1.7924452066421508}, {'batch_size': 3, 'throughput': 1.0854736074660245, 'latency_mean': 2.7576080429553986, 'latency_p50': 2.766753911972046, 'latency_p90': 3.0220386028289794}, {'batch_size': 5, 'throughput': 1.2411607385826455, 'latency_mean': 4.005872055292129, 'latency_p50': 4.026306867599487, 'latency_p90': 4.484357619285583}, {'batch_size': 6, 'throughput': 1.2681855807303946, 'latency_mean': 4.703718423843384, 'latency_p50': 4.703097105026245, 'latency_p90': 5.349255990982056}, {'batch_size': 8, 'throughput': 1.2438489045748267, 'latency_mean': 6.402240031957627, 'latency_p50': 6.433335661888123, 'latency_p90': 7.370687794685364}, {'batch_size': 10, 'throughput': 1.2198350924010606, 'latency_mean': 8.159771695137024, 'latency_p50': 8.27142596244812, 'latency_p90': 9.28389208316803}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: cycy233/nemo-p-e-v3-c1
model_name: auto
model_num_parameters: 12772070400.0
model_repo: cycy233/nemo-p-e-v3-c1
model_size: 13B
num_battles: 20941
num_wins: 11636
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.22
timestamp: 2024-09-24T03:41:24+00:00
us_pacific_date: 2024-09-23
win_ratio: 0.5556563678907407
Download Preference Data
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Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name cycy233-nemo-p-e-v3-c1-v1-mkmlizer
Waiting for job on cycy233-nemo-p-e-v3-c1-v1-mkmlizer to finish
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-nemo-p-e-v3-c1-v1-mkmlizer: ║ /___/ ║
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: ║ ║
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: ║ Version: 0.10.1 ║
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: ║ ║
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cycy233-nemo-p-e-v3-c1-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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Failed to get response for submission blend_batat_2024-09-20: ('http://chaiml-lexical-nemo-v4-1k1e5-v3-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:60882->127.0.0.1:8080: read: connection reset by peer\n')
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: Downloaded to shared memory in 50.854s
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxfb26d_r, device:0
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cycy233-nemo-p-e-v3-c1-v1-mkmlizer: quantized model in 34.448s
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: Processed model cycy233/nemo-p-e-v3-c1 in 85.302s
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-e-v3-c1-v1
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v3-c1-v1/config.json
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v3-c1-v1/special_tokens_map.json
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v3-c1-v1/tokenizer_config.json
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v3-c1-v1/tokenizer.json
cycy233-nemo-p-e-v3-c1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-e-v3-c1-v1/flywheel_model.0.safetensors
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Job cycy233-nemo-p-e-v3-c1-v1-mkmlizer completed after 110.38s with status: succeeded
Stopping job with name cycy233-nemo-p-e-v3-c1-v1-mkmlizer
Pipeline stage MKMLizer completed in 111.38s
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Creating inference service cycy233-nemo-p-e-v3-c1-v1
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Inference service cycy233-nemo-p-e-v3-c1-v1 ready after 203.77790331840515s
Pipeline stage MKMLDeployer completed in 204.20s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.493687868118286s
Received healthy response to inference request in 2.5752108097076416s
Received healthy response to inference request in 2.6243271827697754s
Received healthy response to inference request in 1.8387951850891113s
Received healthy response to inference request in 2.407552719116211s
5 requests
0 failed requests
5th percentile: 1.9525466918945313
10th percentile: 2.0662981986999513
20th percentile: 2.293801212310791
30th percentile: 2.424779748916626
40th percentile: 2.459233808517456
50th percentile: 2.493687868118286
60th percentile: 2.5262970447540285
70th percentile: 2.5589062213897704
80th percentile: 2.5850340843200685
90th percentile: 2.604680633544922
95th percentile: 2.6145039081573485
99th percentile: 2.62236252784729
mean time: 2.387914752960205
Pipeline stage StressChecker completed in 13.23s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.73s
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Creating inference service cycy233-nemo-p-e-v3-c1-v1-profiler
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Inference service cycy233-nemo-p-e-v3-c1-v1-profiler ready after 200.5849323272705s
Pipeline stage MKMLProfilerDeployer completed in 201.01s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-e-v3-c1-v1-profiler-predictor-00001-deploymdbbbb:/code/chaiverse_profiler_1727149871 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-e-v3-c1-v1-profiler-predictor-00001-deploymdbbbb --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727149871 && 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_1727149871/summary.json'
kubectl exec -it cycy233-nemo-p-e-v3-c1-v1-profiler-predictor-00001-deploymdbbbb --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727149871/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1159.68s
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Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-nemo-p-e-v3-c1-v1-profiler is running
Tearing down inference service cycy233-nemo-p-e-v3-c1-v1-profiler
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Pipeline stage MKMLProfilerDeleter completed in 2.49s
Shutdown handler de-registered
cycy233-nemo-p-e-v3-c1_v1 status is now inactive due to auto deactivation removed underperforming models
cycy233-nemo-p-e-v3-c1_v1 status is now torndown due to DeploymentManager action