developer_uid: WesPro
submission_id: wespro-dr-rp-samantha-l3-8b_v1
model_name: wespro-dr-rp-samantha-l3-8b_v1
model_group: WesPro/Dr.RP.Samantha-L3
status: torndown
timestamp: 2025-01-01T17:02:52+00:00
num_battles: 19318
num_wins: 8473
celo_rating: 1219.69
family_friendly_score: 0.5952
family_friendly_standard_error: 0.006941713909403066
submission_type: basic
model_repo: WesPro/Dr.RP.Samantha-L3-8B
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.8764828618367099, 'latency_mean': 1.140855689048767, 'latency_p50': 1.1390715837478638, 'latency_p90': 1.2594370603561402}, {'batch_size': 4, 'throughput': 1.873942673265204, 'latency_mean': 2.1277659845352175, 'latency_p50': 2.1390540599823, 'latency_p90': 2.3265653371810915}, {'batch_size': 5, 'throughput': 2.0405610638994474, 'latency_mean': 2.4410155773162843, 'latency_p50': 2.441124200820923, 'latency_p90': 2.7270952463150024}, {'batch_size': 8, 'throughput': 2.2507476264335935, 'latency_mean': 3.5342710828781128, 'latency_p50': 3.530693769454956, 'latency_p90': 3.920251226425171}, {'batch_size': 10, 'throughput': 2.3091981750684583, 'latency_mean': 4.289062476158142, 'latency_p50': 4.325066328048706, 'latency_p90': 4.806520104408264}, {'batch_size': 12, 'throughput': 2.387156467322777, 'latency_mean': 4.981773754358292, 'latency_p50': 4.988099932670593, 'latency_p90': 5.670346260070801}, {'batch_size': 15, 'throughput': 2.3661700545327973, 'latency_mean': 6.244791547060013, 'latency_p50': 6.295841455459595, 'latency_p90': 6.997042727470398}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: wespro-dr-rp-samantha-l3-8b_v1
is_internal_developer: False
language_model: WesPro/Dr.RP.Samantha-L3-8B
model_size: 8B
ranking_group: single
throughput_3p7s: 2.28
us_pacific_date: 2025-01-01
win_ratio: 0.43860648100217414
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}
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}
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 wespro-dr-rp-samantha-l3-8b-v1-mkmlizer
Waiting for job on wespro-dr-rp-samantha-l3-8b-v1-mkmlizer to finish
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ║ _____ __ __ ║
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wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ║ /___/ ║
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ║ ║
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ║ Version: 0.11.12 ║
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ║ https://mk1.ai ║
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ║ ║
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ║ The license key for the current software has been verified as ║
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ║ belonging to: ║
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ║ ║
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ║ Chai Research Corp. ║
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ║ ║
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: Downloaded to shared memory in 35.592s
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5atjcq5g, device:0
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: quantized model in 26.106s
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: Processed model WesPro/Dr.RP.Samantha-L3-8B in 61.698s
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: creating bucket guanaco-mkml-models
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/wespro-dr-rp-samantha-l3-8b-v1
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/wespro-dr-rp-samantha-l3-8b-v1/config.json
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/wespro-dr-rp-samantha-l3-8b-v1/special_tokens_map.json
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/wespro-dr-rp-samantha-l3-8b-v1/tokenizer_config.json
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/wespro-dr-rp-samantha-l3-8b-v1/tokenizer.json
wespro-dr-rp-samantha-l3-8b-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/wespro-dr-rp-samantha-l3-8b-v1/flywheel_model.0.safetensors
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Job wespro-dr-rp-samantha-l3-8b-v1-mkmlizer completed after 83.87s with status: succeeded
Stopping job with name wespro-dr-rp-samantha-l3-8b-v1-mkmlizer
Pipeline stage MKMLizer completed in 84.40s
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Creating inference service wespro-dr-rp-samantha-l3-8b-v1
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Inference service wespro-dr-rp-samantha-l3-8b-v1 ready after 311.07903575897217s
Pipeline stage MKMLDeployer completed in 311.60s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.7593517303466797s
Received healthy response to inference request in 1.9096801280975342s
Received healthy response to inference request in 1.2650566101074219s
Received healthy response to inference request in 1.4348087310791016s
Received healthy response to inference request in 1.5181803703308105s
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5th percentile: 1.299007034301758
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20th percentile: 1.4008583068847655
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60th percentile: 1.6146489143371583
70th percentile: 1.7111174583435058
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90th percentile: 1.8495487689971923
95th percentile: 1.8796144485473631
99th percentile: 1.9036669921875
mean time: 1.5774155139923096
Pipeline stage StressChecker completed in 9.20s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2450.13s
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wespro-dr-rp-samantha-l3-8b_v1 status is now torndown due to DeploymentManager action
wespro-dr-rp-samantha-l3-8b_v1 status is now torndown due to DeploymentManager action
wespro-dr-rp-samantha-l3-8b_v1 status is now torndown due to DeploymentManager action