developer_uid: cycy233
submission_id: cycy233-modelv-elo2-step200_v1
model_name: cycy233-modelv-elo2-step1000_v1
model_group: cycy233/modelV_elo2_step
status: torndown
timestamp: 2025-04-24T06:17:57+00:00
num_battles: 12015
num_wins: 5861
celo_rating: 1279.58
family_friendly_score: 0.5324
family_friendly_standard_error: 0.007056206346189147
submission_type: basic
model_repo: cycy233/modelV_elo2_step200
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6087575020649357, 'latency_mean': 1.6426297533512115, 'latency_p50': 1.645196557044983, 'latency_p90': 1.8109972715377807}, {'batch_size': 3, 'throughput': 1.1097577316752458, 'latency_mean': 2.7021136724948884, 'latency_p50': 2.7271296977996826, 'latency_p90': 3.0238032817840574}, {'batch_size': 5, 'throughput': 1.3394089018165016, 'latency_mean': 3.715928497314453, 'latency_p50': 3.7337539196014404, 'latency_p90': 4.121861433982849}, {'batch_size': 6, 'throughput': 1.4097827106363412, 'latency_mean': 4.240652395486832, 'latency_p50': 4.274774670600891, 'latency_p90': 4.767580962181091}, {'batch_size': 8, 'throughput': 1.466067302051257, 'latency_mean': 5.424690338373185, 'latency_p50': 5.433761477470398, 'latency_p90': 6.02737443447113}, {'batch_size': 10, 'throughput': 1.5050337586378806, 'latency_mean': 6.598392112255096, 'latency_p50': 6.646642327308655, 'latency_p90': 7.391871404647827}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cycy233-modelv-elo2-step1000_v1
is_internal_developer: False
language_model: cycy233/modelV_elo2_step200
model_size: 13B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-04-23
win_ratio: 0.48780690803162713
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 cycy233-modelv-elo2-step200-v1-mkmlizer
Waiting for job on cycy233-modelv-elo2-step200-v1-mkmlizer to finish
cycy233-modelv-elo2-step200-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-modelv-elo2-step200-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-modelv-elo2-step200-v1-mkmlizer: ║ /___/ ║
cycy233-modelv-elo2-step200-v1-mkmlizer: ║ ║
cycy233-modelv-elo2-step200-v1-mkmlizer: ║ Version: 0.12.8 ║
cycy233-modelv-elo2-step200-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-modelv-elo2-step200-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-modelv-elo2-step200-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-modelv-elo2-step200-v1-mkmlizer: ║ belonging to: ║
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cycy233-modelv-elo2-step200-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-modelv-elo2-step200-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-modelv-elo2-step200-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
cycy233-modelv-elo2-step200-v1-mkmlizer: ║ ║
cycy233-modelv-elo2-step200-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-modelv-elo2-step200-v1-mkmlizer: Downloaded to shared memory in 40.066s
cycy233-modelv-elo2-step200-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpun_oh7xf, device:0
cycy233-modelv-elo2-step200-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-modelv-elo2-step200-v1-mkmlizer: quantized model in 36.882s
cycy233-modelv-elo2-step200-v1-mkmlizer: Processed model cycy233/modelV_elo2_step200 in 76.948s
cycy233-modelv-elo2-step200-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-modelv-elo2-step200-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-modelv-elo2-step200-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-modelv-elo2-step200-v1
cycy233-modelv-elo2-step200-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-modelv-elo2-step200-v1/config.json
cycy233-modelv-elo2-step200-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-modelv-elo2-step200-v1/special_tokens_map.json
cycy233-modelv-elo2-step200-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-modelv-elo2-step200-v1/tokenizer_config.json
cycy233-modelv-elo2-step200-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-modelv-elo2-step200-v1/tokenizer.json
cycy233-modelv-elo2-step200-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-modelv-elo2-step200-v1/flywheel_model.0.safetensors
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Job cycy233-modelv-elo2-step200-v1-mkmlizer completed after 104.62s with status: succeeded
Stopping job with name cycy233-modelv-elo2-step200-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.10s
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Creating inference service cycy233-modelv-elo2-step200-v1
Waiting for inference service cycy233-modelv-elo2-step200-v1 to be ready
Inference service cycy233-modelv-elo2-step200-v1 ready after 140.4485023021698s
Pipeline stage MKMLDeployer completed in 140.94s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2618982791900635s
Received healthy response to inference request in 1.7650666236877441s
Received healthy response to inference request in 1.4681494235992432s
Received healthy response to inference request in 0.9535410404205322s
Received healthy response to inference request in 1.0575778484344482s
5 requests
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5th percentile: 0.9743484020233154
10th percentile: 0.9951557636260986
20th percentile: 1.036770486831665
30th percentile: 1.1396921634674073
40th percentile: 1.3039207935333252
50th percentile: 1.4681494235992432
60th percentile: 1.5869163036346436
70th percentile: 1.705683183670044
80th percentile: 1.8644329547882081
90th percentile: 2.063165616989136
95th percentile: 2.1625319480895997
99th percentile: 2.242025012969971
mean time: 1.5012466430664062
Pipeline stage StressChecker completed in 8.73s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5032.61s
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