submission_id: zonemercy-elite-pref-v1-1e5_v3
developer_uid: zonemercy
alignment_samples: 10502
alignment_score: 1.3547613935395413
best_of: 8
celo_rating: 1250.06
display_name: zonemercy-elite-pref-v1-1e5_v3
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-v1-1e5
latencies: [{'batch_size': 1, 'throughput': 0.6091692942371614, 'latency_mean': 1.641490989923477, 'latency_p50': 1.6289429664611816, 'latency_p90': 1.8098774433135987}, {'batch_size': 3, 'throughput': 1.0703112630247522, 'latency_mean': 2.792840167284012, 'latency_p50': 2.7963125705718994, 'latency_p90': 3.0356859445571898}, {'batch_size': 5, 'throughput': 1.233720376859374, 'latency_mean': 4.036430215835571, 'latency_p50': 4.031562805175781, 'latency_p90': 4.527781438827515}, {'batch_size': 6, 'throughput': 1.2567727225811458, 'latency_mean': 4.756949251890182, 'latency_p50': 4.806342124938965, 'latency_p90': 5.288336682319641}, {'batch_size': 8, 'throughput': 1.242491902211238, 'latency_mean': 6.41116717338562, 'latency_p50': 6.4241660833358765, 'latency_p90': 7.239210247993469}, {'batch_size': 10, 'throughput': 1.204731311955456, 'latency_mean': 8.249725419282914, 'latency_p50': 8.350220203399658, 'latency_p90': 9.223347711563111}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Elite-Pref-v1-
model_name: zonemercy-elite-pref-v1-1e5_v3
model_num_parameters: 12772070400.0
model_repo: zonemercy/Elite-Pref-v1-1e5
model_size: 13B
num_battles: 10502
num_wins: 5305
propriety_score: 0.7320471596998929
propriety_total_count: 933.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.21
timestamp: 2024-09-13T17:41:55+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.5051418777375738
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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-v1-1e5-v3-mkmlizer
Waiting for job on zonemercy-elite-pref-v1-1e5-v3-mkmlizer to finish
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ _____ __ __ ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ /___/ ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ https://mk1.ai ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ belonging to: ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ Chai Research Corp. ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: Downloaded to shared memory in 54.133s
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4btzz_pq, device:0
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: quantized model in 39.655s
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: Processed model zonemercy/Elite-Pref-v1-1e5 in 93.788s
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-elite-pref-v1-1e5-v3
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-elite-pref-v1-1e5-v3/tokenizer_config.json
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-elite-pref-v1-1e5-v3/tokenizer.json
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-elite-pref-v1-1e5-v3/flywheel_model.0.safetensors
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Job zonemercy-elite-pref-v1-1e5-v3-mkmlizer completed after 125.53s with status: succeeded
Stopping job with name zonemercy-elite-pref-v1-1e5-v3-mkmlizer
Pipeline stage MKMLizer completed in 126.53s
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Pipeline stage MKMLTemplater completed in 0.13s
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Creating inference service zonemercy-elite-pref-v1-1e5-v3
Waiting for inference service zonemercy-elite-pref-v1-1e5-v3 to be ready
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Inference service zonemercy-elite-pref-v1-1e5-v3 ready after 180.95623326301575s
Pipeline stage MKMLDeployer completed in 181.35s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.480405807495117s
Received healthy response to inference request in 2.900006055831909s
Received healthy response to inference request in 1.924269199371338s
Received healthy response to inference request in 2.1597301959991455s
Received healthy response to inference request in 2.034012794494629s
5 requests
0 failed requests
5th percentile: 1.946217918395996
10th percentile: 1.9681666374206543
20th percentile: 2.012064075469971
30th percentile: 2.0591562747955323
40th percentile: 2.1094432353973387
50th percentile: 2.1597301959991455
60th percentile: 2.2880004405975343
70th percentile: 2.4162706851959226
80th percentile: 2.564325857162476
90th percentile: 2.7321659564971923
95th percentile: 2.8160860061645505
99th percentile: 2.8832220458984374
mean time: 2.2996848106384276
Pipeline stage StressChecker completed in 13.17s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.14s
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zonemercy-elite-pref-v1-1e5_v3 status is now deployed due to DeploymentManager action
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Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Creating inference service zonemercy-elite-pref-v1-1e5-v3-profiler
Waiting for inference service zonemercy-elite-pref-v1-1e5-v3-profiler to be ready
Inference service zonemercy-elite-pref-v1-1e5-v3-profiler ready after 180.43491387367249s
Pipeline stage MKMLProfilerDeployer completed in 181.82s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-elite-pref37a67aeb4e104b9f37f598bafbedacec-deplodjj4v:/code/chaiverse_profiler_1726249862 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-elite-pref37a67aeb4e104b9f37f598bafbedacec-deplodjj4v --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726249862 && 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_1726249862/summary.json'
kubectl exec -it zonemercy-elite-pref37a67aeb4e104b9f37f598bafbedacec-deplodjj4v --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726249862/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1170.09s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-elite-pref-v1-1e5-v3-profiler is running
Tearing down inference service zonemercy-elite-pref-v1-1e5-v3-profiler
Service zonemercy-elite-pref-v1-1e5-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 3.74s
Shutdown handler de-registered
zonemercy-elite-pref-v1-1e5_v3 status is now inactive due to auto deactivation removed underperforming models