submission_id: rinen0721-mistral12b-exp7_v3
developer_uid: rinen0721
best_of: 8
celo_rating: 1251.58
display_name: rinen0721-mistral12b-exp7_v1
family_friendly_score: 0.5648
family_friendly_standard_error: 0.007011432949119602
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}
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}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: rinen0721/Mistral12b-exp7
latencies: [{'batch_size': 1, 'throughput': 0.6169788300684945, 'latency_mean': 1.6207066333293916, 'latency_p50': 1.6360201835632324, 'latency_p90': 1.769173812866211}, {'batch_size': 3, 'throughput': 1.1539547750194767, 'latency_mean': 2.5890666377544402, 'latency_p50': 2.5984033346176147, 'latency_p90': 2.9095504045486447}, {'batch_size': 5, 'throughput': 1.3831884433305972, 'latency_mean': 3.599262670278549, 'latency_p50': 3.6022915840148926, 'latency_p90': 3.9972723722457886}, {'batch_size': 6, 'throughput': 1.469438576920847, 'latency_mean': 4.058621547222137, 'latency_p50': 4.072051644325256, 'latency_p90': 4.619820880889892}, {'batch_size': 8, 'throughput': 1.5355608730778636, 'latency_mean': 5.167922829389572, 'latency_p50': 5.177566051483154, 'latency_p90': 5.784012222290039}, {'batch_size': 10, 'throughput': 1.5876712492001843, 'latency_mean': 6.250459907054901, 'latency_p50': 6.249414443969727, 'latency_p90': 7.120615744590759}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: rinen0721/Mistral12b-exp
model_name: rinen0721-mistral12b-exp7_v1
model_num_parameters: 12772070400.0
model_repo: rinen0721/Mistral12b-exp7
model_size: 13B
num_battles: 8003
num_wins: 4035
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.41
timestamp: 2024-11-14T07:34:33+00:00
us_pacific_date: 2024-11-13
win_ratio: 0.5041859302761464
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 rinen0721-mistral12b-exp7-v3-mkmlizer
Waiting for job on rinen0721-mistral12b-exp7-v3-mkmlizer to finish
rinen0721-mistral12b-exp7-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rinen0721-mistral12b-exp7-v3-mkmlizer: ║ _____ __ __ ║
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rinen0721-mistral12b-exp7-v3-mkmlizer: ║ /___/ ║
rinen0721-mistral12b-exp7-v3-mkmlizer: ║ ║
rinen0721-mistral12b-exp7-v3-mkmlizer: ║ Version: 0.11.12 ║
rinen0721-mistral12b-exp7-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rinen0721-mistral12b-exp7-v3-mkmlizer: ║ https://mk1.ai ║
rinen0721-mistral12b-exp7-v3-mkmlizer: ║ ║
rinen0721-mistral12b-exp7-v3-mkmlizer: ║ The license key for the current software has been verified as ║
rinen0721-mistral12b-exp7-v3-mkmlizer: ║ belonging to: ║
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rinen0721-mistral12b-exp7-v3-mkmlizer: ║ Chai Research Corp. ║
rinen0721-mistral12b-exp7-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rinen0721-mistral12b-exp7-v3-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
rinen0721-mistral12b-exp7-v3-mkmlizer: ║ ║
rinen0721-mistral12b-exp7-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
rinen0721-mistral12b-exp7-v3-mkmlizer: Downloaded to shared memory in 161.429s
rinen0721-mistral12b-exp7-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpq07ohe_6, device:0
rinen0721-mistral12b-exp7-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission rica40325-10-14dpo_v2: ('http://rica40325-10-14dpo-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
rinen0721-mistral12b-exp7-v3-mkmlizer: quantized model in 36.022s
rinen0721-mistral12b-exp7-v3-mkmlizer: Processed model rinen0721/Mistral12b-exp7 in 197.452s
rinen0721-mistral12b-exp7-v3-mkmlizer: creating bucket guanaco-mkml-models
rinen0721-mistral12b-exp7-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rinen0721-mistral12b-exp7-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rinen0721-mistral12b-exp7-v3
rinen0721-mistral12b-exp7-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rinen0721-mistral12b-exp7-v3/config.json
rinen0721-mistral12b-exp7-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rinen0721-mistral12b-exp7-v3/special_tokens_map.json
rinen0721-mistral12b-exp7-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rinen0721-mistral12b-exp7-v3/tokenizer_config.json
rinen0721-mistral12b-exp7-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rinen0721-mistral12b-exp7-v3/tokenizer.json
rinen0721-mistral12b-exp7-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rinen0721-mistral12b-exp7-v3/flywheel_model.0.safetensors
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Job rinen0721-mistral12b-exp7-v3-mkmlizer completed after 227.24s with status: succeeded
Stopping job with name rinen0721-mistral12b-exp7-v3-mkmlizer
Pipeline stage MKMLizer completed in 227.96s
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Pipeline stage MKMLTemplater completed in 0.18s
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Creating inference service rinen0721-mistral12b-exp7-v3
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Inference service rinen0721-mistral12b-exp7-v3 ready after 200.71143507957458s
Pipeline stage MKMLDeployer completed in 201.34s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3392887115478516s
Received healthy response to inference request in 1.6345760822296143s
Received healthy response to inference request in 1.0882456302642822s
Received healthy response to inference request in 1.699190378189087s
Received healthy response to inference request in 1.9698536396026611s
5 requests
0 failed requests
5th percentile: 1.1975117206573487
10th percentile: 1.3067778110504151
20th percentile: 1.5253099918365478
30th percentile: 1.6474989414215089
40th percentile: 1.673344659805298
50th percentile: 1.699190378189087
60th percentile: 1.8074556827545165
70th percentile: 1.9157209873199463
80th percentile: 2.043740653991699
90th percentile: 2.1915146827697756
95th percentile: 2.2654016971588136
99th percentile: 2.324511308670044
mean time: 1.7462308883666993
Pipeline stage StressChecker completed in 10.27s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 2.19s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2439.31s
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