submission_id: zonemercy-elite-pref-v4-1e5_v1
developer_uid: zonemercy
alignment_samples: 10857
alignment_score: 2.203368504957826
best_of: 8
celo_rating: 1247.78
display_name: zonemercy-elite-pref-v4-1e5_v1
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '{user_name}: {message}</s>', 'response_template': '{bot_name}:', '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-v4-1e5
latencies: [{'batch_size': 1, 'throughput': 0.612895769882052, 'latency_mean': 1.6315242910385133, 'latency_p50': 1.641053318977356, 'latency_p90': 1.7869643926620482}, {'batch_size': 3, 'throughput': 1.0936005603188526, 'latency_mean': 2.7332158160209654, 'latency_p50': 2.728370189666748, 'latency_p90': 2.9848354339599608}, {'batch_size': 5, 'throughput': 1.2487574959616907, 'latency_mean': 3.98374552488327, 'latency_p50': 4.002500534057617, 'latency_p90': 4.438093662261963}, {'batch_size': 6, 'throughput': 1.2705392094135999, 'latency_mean': 4.707566713094711, 'latency_p50': 4.701011776924133, 'latency_p90': 5.365432000160217}, {'batch_size': 8, 'throughput': 1.2584959572922514, 'latency_mean': 6.3135093998909, 'latency_p50': 6.284511566162109, 'latency_p90': 7.2371015548706055}, {'batch_size': 10, 'throughput': 1.225864855152886, 'latency_mean': 8.11295234322548, 'latency_p50': 8.2361900806427, 'latency_p90': 9.237559080123901}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Elite-Pref-v4-
model_name: zonemercy-elite-pref-v4-1e5_v1
model_num_parameters: 12772070400.0
model_repo: zonemercy/Elite-Pref-v4-1e5
model_size: 13B
num_battles: 10857
num_wins: 5452
propriety_score: 0.7438775510204082
propriety_total_count: 980.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.23
timestamp: 2024-09-13T20:56:43+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.5021645021645021
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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 zonemercy-elite-pref-v4-1e5-v1-mkmlizer
Waiting for job on zonemercy-elite-pref-v4-1e5-v1-mkmlizer to finish
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ _____ __ __ ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ /___/ ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ https://mk1.ai ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ belonging to: ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ Chai Research Corp. ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ║ ║
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: Downloaded to shared memory in 89.224s
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdzon0ik_, device:0
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: quantized model in 41.500s
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: Processed model zonemercy/Elite-Pref-v4-1e5 in 130.724s
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-elite-pref-v4-1e5-v1
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-elite-pref-v4-1e5-v1/config.json
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-elite-pref-v4-1e5-v1/special_tokens_map.json
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-elite-pref-v4-1e5-v1/tokenizer_config.json
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-elite-pref-v4-1e5-v1/tokenizer.json
zonemercy-elite-pref-v4-1e5-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-elite-pref-v4-1e5-v1/flywheel_model.0.safetensors
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Job zonemercy-elite-pref-v4-1e5-v1-mkmlizer completed after 156.9s with status: succeeded
Stopping job with name zonemercy-elite-pref-v4-1e5-v1-mkmlizer
Pipeline stage MKMLizer completed in 158.08s
Connection pool is full, discarding connection: %s. Connection pool size: %s
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Pipeline stage MKMLTemplater completed in 0.09s
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Running pipeline stage MKMLDeployer
Creating inference service zonemercy-elite-pref-v4-1e5-v1
Waiting for inference service zonemercy-elite-pref-v4-1e5-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service zonemercy-elite-pref-v4-1e5-v1 ready after 190.86508464813232s
Pipeline stage MKMLDeployer completed in 191.57s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.198772668838501s
Received healthy response to inference request in 1.5874910354614258s
Received healthy response to inference request in 2.7446937561035156s
Received healthy response to inference request in 2.1860861778259277s
Received healthy response to inference request in 2.3256051540374756s
5 requests
0 failed requests
5th percentile: 1.7072100639343262
10th percentile: 1.8269290924072266
20th percentile: 2.0663671493530273
30th percentile: 2.188623476028442
40th percentile: 2.1936980724334716
50th percentile: 2.198772668838501
60th percentile: 2.2495056629180907
70th percentile: 2.3002386569976805
80th percentile: 2.4094228744506836
90th percentile: 2.5770583152770996
95th percentile: 2.6608760356903076
99th percentile: 2.727930212020874
mean time: 2.208529758453369
Pipeline stage StressChecker completed in 11.98s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 7.91s
Shutdown handler de-registered
zonemercy-elite-pref-v4-1e5_v1 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 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-elite-pref-v4-1e5-v1-profiler
Waiting for inference service zonemercy-elite-pref-v4-1e5-v1-profiler to be ready
Inference service zonemercy-elite-pref-v4-1e5-v1-profiler ready after 180.51932001113892s
Pipeline stage MKMLProfilerDeployer completed in 180.86s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-elite-preffc2725d41b8dc39f4735a5d708177ebe-deploxpgw7:/code/chaiverse_profiler_1726261595 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-elite-preffc2725d41b8dc39f4735a5d708177ebe-deploxpgw7 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726261595 && 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_1726261595/summary.json'
kubectl exec -it zonemercy-elite-preffc2725d41b8dc39f4735a5d708177ebe-deploxpgw7 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726261595/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1157.90s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-elite-pref-v4-1e5-v1-profiler is running
Tearing down inference service zonemercy-elite-pref-v4-1e5-v1-profiler
Service zonemercy-elite-pref-v4-1e5-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.56s
Shutdown handler de-registered
zonemercy-elite-pref-v4-1e5_v1 status is now inactive due to auto deactivation removed underperforming models