zonemercy-elite-pref-v1-1e5

submission_id: zonemercy-elite-pref-v1-1e5_v4

developer_uid: zonemercy

alignment_samples: 10337

alignment_score: 1.3369570235229133

best_of: 8

celo_rating: 1250.52

display_name: zonemercy-elite-pref-v1-1e5_v2

formatter: {'memory_template': "Bot's name: {bot_name}\n####\n", 'prompt_template': '', 'bot_template': 'Bot: {message}</s>', 'user_template': 'User: {message}</s>', 'response_template': 'Bot:', 'truncate_by_message': False}

generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: True

language_model: zonemercy/Elite-Pref-v1-1e5

latencies: [{'batch_size': 1, 'throughput': 0.6028814460029057, 'latency_mean': 1.6586399281024933, 'latency_p50': 1.6633325815200806, 'latency_p90': 1.8037063360214234}, {'batch_size': 3, 'throughput': 1.0436902004614477, 'latency_mean': 2.8619342684745788, 'latency_p50': 2.859373927116394, 'latency_p90': 3.0958874464035033}, {'batch_size': 5, 'throughput': 1.1973752861054547, 'latency_mean': 4.163632978200912, 'latency_p50': 4.165799260139465, 'latency_p90': 4.7603264331817625}, {'batch_size': 6, 'throughput': 1.213010906320668, 'latency_mean': 4.919217911958694, 'latency_p50': 4.929310917854309, 'latency_p90': 5.618385338783264}, {'batch_size': 8, 'throughput': 1.205169389337003, 'latency_mean': 6.608317631483078, 'latency_p50': 6.6468517780303955, 'latency_p90': 7.471156978607178}, {'batch_size': 10, 'throughput': 1.1713636368333258, 'latency_mean': 8.501219203472138, 'latency_p50': 8.517991304397583, 'latency_p90': 9.637591338157653}]

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: zonemercy/Elite-Pref-v1-

model_name: zonemercy-elite-pref-v1-1e5_v2

model_num_parameters: 12772070400.0

model_repo: zonemercy/Elite-Pref-v1-1e5

model_size: 13B

num_battles: 10337

num_wins: 5230

propriety_score: 0.7497435897435898

propriety_total_count: 975.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.16

timestamp: 2024-09-13T17:42:20+00:00

us_pacific_date: 2024-09-13

win_ratio: 0.5059495017896876

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Resubmit model

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 zonemercy-elite-pref-v1-1e5-v4-mkmlizer
Waiting for job on zonemercy-elite-pref-v1-1e5-v4-mkmlizer to finish
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║     _____            __           __                                ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║       /___/                                                         ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║                                                                     ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║  Version: 0.10.1                                                    ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║  https://mk1.ai                                                     ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║                                                                     ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║  belonging to:                                                      ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║                                                                     ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║  Chai Research Corp.                                                ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ║                                                                     ║
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: Downloaded to shared memory in 55.063s
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxy11jz7f, device:0
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: quantized model in 41.968s
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: Processed model zonemercy/Elite-Pref-v1-1e5 in 97.032s
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-elite-pref-v1-1e5-v4
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-elite-pref-v1-1e5-v4/config.json
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-elite-pref-v1-1e5-v4/special_tokens_map.json
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-elite-pref-v1-1e5-v4/tokenizer_config.json
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-elite-pref-v1-1e5-v4/tokenizer.json
zonemercy-elite-pref-v1-1e5-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-elite-pref-v1-1e5-v4/flywheel_model.0.safetensors
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Job zonemercy-elite-pref-v1-1e5-v4-mkmlizer completed after 134.88s with status: succeeded
Stopping job with name zonemercy-elite-pref-v1-1e5-v4-mkmlizer
Pipeline stage MKMLizer completed in 135.80s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.08s
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Running pipeline stage MKMLDeployer
Creating inference service zonemercy-elite-pref-v1-1e5-v4
Waiting for inference service zonemercy-elite-pref-v1-1e5-v4 to be ready
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Inference service zonemercy-elite-pref-v1-1e5-v4 ready after 181.57867193222046s
Pipeline stage MKMLDeployer completed in 181.95s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.7046499252319336s
Received healthy response to inference request in 2.234044313430786s
Received healthy response to inference request in 1.6411919593811035s
Received healthy response to inference request in 1.887382984161377s
Received healthy response to inference request in 1.7440924644470215s
5 requests
0 failed requests
5th percentile: 1.6617720603942872
10th percentile: 1.6823521614074708
20th percentile: 1.7235123634338378
30th percentile: 1.7727505683898925
40th percentile: 1.8300667762756349
50th percentile: 1.887382984161377
60th percentile: 2.0260475158691404
70th percentile: 2.1647120475769044
80th percentile: 2.3281654357910155
90th percentile: 2.516407680511475
95th percentile: 2.610528802871704
99th percentile: 2.685825700759888
mean time: 2.0422723293304443
Pipeline stage StressChecker completed in 12.06s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.90s
Shutdown handler de-registered
zonemercy-elite-pref-v1-1e5_v4 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
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Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-elite-pref-v1-1e5-v4-profiler
Waiting for inference service zonemercy-elite-pref-v1-1e5-v4-profiler to be ready
Inference service zonemercy-elite-pref-v1-1e5-v4-profiler ready after 180.40684366226196s
Pipeline stage MKMLProfilerDeployer completed in 180.75s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-elite-prefd397474eb181ba1f773e5e67403400d2-deplo9xndf:/code/chaiverse_profiler_1726249910 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-elite-prefd397474eb181ba1f773e5e67403400d2-deplo9xndf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726249910 && 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_1726249910/summary.json'
kubectl exec -it zonemercy-elite-prefd397474eb181ba1f773e5e67403400d2-deplo9xndf --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726249910/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1199.49s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-elite-pref-v1-1e5-v4-profiler is running
Tearing down inference service zonemercy-elite-pref-v1-1e5-v4-profiler
Service zonemercy-elite-pref-v1-1e5-v4-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.82s
Shutdown handler de-registered
zonemercy-elite-pref-v1-1e5_v4 status is now inactive due to auto deactivation removed underperforming models