developer_uid: rica40325
submission_id: rica40325-mixdata-8000step_v1
model_name: rica40325-mixdata-8000step_v1
model_group: rica40325/mixdata-8000st
status: inactive
timestamp: 2024-12-05T05:38:43+00:00
num_battles: 9594
num_wins: 4708
celo_rating: 1256.09
family_friendly_score: 0.5776
family_friendly_standard_error: 0.006985388178190243
submission_type: basic
model_repo: rica40325/mixdata-8000step
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6144045658839309, 'latency_mean': 1.6275234520435333, 'latency_p50': 1.6220703125, 'latency_p90': 1.7956697940826416}, {'batch_size': 3, 'throughput': 1.1470402365923635, 'latency_mean': 2.606157017946243, 'latency_p50': 2.58233904838562, 'latency_p90': 2.902330780029297}, {'batch_size': 5, 'throughput': 1.3877075793403673, 'latency_mean': 3.5862878441810606, 'latency_p50': 3.579567790031433, 'latency_p90': 4.013789367675781}, {'batch_size': 6, 'throughput': 1.4645526414339045, 'latency_mean': 4.080152041912079, 'latency_p50': 4.1099947690963745, 'latency_p90': 4.529591369628906}, {'batch_size': 8, 'throughput': 1.5289238280945636, 'latency_mean': 5.187538340091705, 'latency_p50': 5.182435870170593, 'latency_p90': 5.828658151626587}, {'batch_size': 10, 'throughput': 1.5474713339722197, 'latency_mean': 6.410454535484314, 'latency_p50': 6.405531525611877, 'latency_p90': 7.2055198669433596}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: rica40325-mixdata-8000step_v1
is_internal_developer: False
language_model: rica40325/mixdata-8000step
model_size: 13B
ranking_group: single
throughput_3p7s: 1.41
us_pacific_date: 2024-12-04
win_ratio: 0.4907233687721493
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
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Starting job with name rica40325-mixdata-8000step-v1-mkmlizer
Waiting for job on rica40325-mixdata-8000step-v1-mkmlizer to finish
rica40325-mixdata-8000step-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-mixdata-8000step-v1-mkmlizer: ║     _____            __           __                                ║
rica40325-mixdata-8000step-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-mixdata-8000step-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-mixdata-8000step-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-mixdata-8000step-v1-mkmlizer: ║       /___/                                                         ║
rica40325-mixdata-8000step-v1-mkmlizer: ║                                                                     ║
rica40325-mixdata-8000step-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
rica40325-mixdata-8000step-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-mixdata-8000step-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-mixdata-8000step-v1-mkmlizer: ║                                                                     ║
rica40325-mixdata-8000step-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-mixdata-8000step-v1-mkmlizer: ║  belonging to:                                                      ║
rica40325-mixdata-8000step-v1-mkmlizer: ║                                                                     ║
rica40325-mixdata-8000step-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-mixdata-8000step-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-mixdata-8000step-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
rica40325-mixdata-8000step-v1-mkmlizer: ║                                                                     ║
rica40325-mixdata-8000step-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-mixdata-8000step-v1-mkmlizer: Downloaded to shared memory in 79.577s
rica40325-mixdata-8000step-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4rvl7_4c, device:0
rica40325-mixdata-8000step-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-mixdata-8000step-v1-mkmlizer: quantized model in 40.770s
rica40325-mixdata-8000step-v1-mkmlizer: Processed model rica40325/mixdata-8000step in 120.348s
rica40325-mixdata-8000step-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-mixdata-8000step-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-mixdata-8000step-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-mixdata-8000step-v1
rica40325-mixdata-8000step-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-mixdata-8000step-v1/config.json
rica40325-mixdata-8000step-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-mixdata-8000step-v1/special_tokens_map.json
rica40325-mixdata-8000step-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-mixdata-8000step-v1/tokenizer_config.json
rica40325-mixdata-8000step-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-mixdata-8000step-v1/tokenizer.json
rica40325-mixdata-8000step-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-mixdata-8000step-v1/flywheel_model.0.safetensors
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Job rica40325-mixdata-8000step-v1-mkmlizer completed after 144.63s with status: succeeded
Stopping job with name rica40325-mixdata-8000step-v1-mkmlizer
Pipeline stage MKMLizer completed in 147.36s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service rica40325-mixdata-8000step-v1
Waiting for inference service rica40325-mixdata-8000step-v1 to be ready
Inference service rica40325-mixdata-8000step-v1 ready after 164.49424004554749s
Pipeline stage MKMLDeployer completed in 166.23s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.2336804866790771s
Received healthy response to inference request in 1.1673610210418701s
Received healthy response to inference request in 1.8152031898498535s
Received healthy response to inference request in 2.0855603218078613s
Received healthy response to inference request in 2.131227731704712s
5 requests
0 failed requests
5th percentile: 1.1806249141693115
10th percentile: 1.1938888072967528
20th percentile: 1.2204165935516358
30th percentile: 1.3499850273132323
40th percentile: 1.582594108581543
50th percentile: 1.8152031898498535
60th percentile: 1.9233460426330566
70th percentile: 2.0314888954162598
80th percentile: 2.0946938037872314
90th percentile: 2.112960767745972
95th percentile: 2.122094249725342
99th percentile: 2.1294010353088377
mean time: 1.6866065502166747
Pipeline stage StressChecker completed in 9.72s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 2.30s
Shutdown handler de-registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2586.63s
Shutdown handler de-registered
rica40325-mixdata-8000step_v1 status is now inactive due to auto deactivation removed underperforming models