zonemercy-vingt-deux-v0-1e5

submission_id: zonemercy-vingt-deux-v0-1e5_v13
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1248.88
display_name: temp-3
family_friendly_score: 0.0
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', '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': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A6000': 1}
is_internal_developer: True
language_model: zonemercy/Vingt-Deux-v0-1e5
latencies: [{'batch_size': 1, 'throughput': 0.38487858226490784, 'latency_mean': 2.598141334056854, 'latency_p50': 2.5918833017349243, 'latency_p90': 2.8806337118148804}, {'batch_size': 2, 'throughput': 0.6050221740278277, 'latency_mean': 3.3042594611644747, 'latency_p50': 3.295541763305664, 'latency_p90': 3.677471566200256}, {'batch_size': 3, 'throughput': 0.7614687714085446, 'latency_mean': 3.9277795112133025, 'latency_p50': 3.9241822957992554, 'latency_p90': 4.321462249755859}, {'batch_size': 4, 'throughput': 0.8856433756110399, 'latency_mean': 4.503127671480179, 'latency_p50': 4.491950511932373, 'latency_p90': 5.017151713371277}, {'batch_size': 5, 'throughput': 0.9640664230076132, 'latency_mean': 5.152511030435562, 'latency_p50': 5.12525486946106, 'latency_p90': 5.934516739845276}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Vingt-Deux-v0-
model_name: temp-3
model_num_parameters: 22247282688.0
model_repo: zonemercy/Vingt-Deux-v0-1e5
model_size: 22B
num_battles: 53635
num_wins: 27091
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 0.71
timestamp: 2024-09-23T09:38:49+00:00
us_pacific_date: 2024-09-23
win_ratio: 0.5050992821851403
Download Preference Data
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Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name zonemercy-vingt-deux-v0-1e5-v13-mkmlizer
Waiting for job on zonemercy-vingt-deux-v0-1e5-v13-mkmlizer to finish
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Job zonemercy-vingt-deux-v0-1e5-v13-mkmlizer completed after 112.91s with status: failed
Stopping job with name zonemercy-vingt-deux-v0-1e5-v13-mkmlizer
%s, retrying in %s seconds...
Starting job with name zonemercy-vingt-deux-v0-1e5-v13-mkmlizer
Waiting for job on zonemercy-vingt-deux-v0-1e5-v13-mkmlizer to finish
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║     _____            __           __                                ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║       /___/                                                         ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║                                                                     ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║  Version: 0.10.1                                                    ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║  https://mk1.ai                                                     ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║                                                                     ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║  The license key for the current software has been verified as      ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║  belonging to:                                                      ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║                                                                     ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║  Chai Research Corp.                                                ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ║                                                                     ║
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: Downloaded to shared memory in 48.008s
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpg2mnjce3, device:0
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
Failed to get response for submission mistralai-mixtral-8x7b_3473_v136: ('http://mistralai-mixtral-8x7b-3473-v136-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:56326->127.0.0.1:8080: read: connection reset by peer\n')
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: quantized model in 42.902s
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: Processed model zonemercy/Vingt-Deux-v0-1e5 in 90.910s
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v13
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v13/special_tokens_map.json
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v13/config.json
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v13/tokenizer_config.json
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v13/tokenizer.json
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v13/flywheel_model.1.safetensors
zonemercy-vingt-deux-v0-1e5-v13-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v13/flywheel_model.0.safetensors
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Job zonemercy-vingt-deux-v0-1e5-v13-mkmlizer completed after 116.0s with status: succeeded
Stopping job with name zonemercy-vingt-deux-v0-1e5-v13-mkmlizer
Pipeline stage MKMLizer completed in 230.86s
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Inference service zonemercy-vingt-deux-v0-1e5-v13 ready after 193.03712010383606s
Pipeline stage MKMLDeployer completed in 193.52s
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Received healthy response to inference request in 3.913224458694458s
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mean time: 3.4922714233398438
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Received healthy response to inference request in 2.508612632751465s
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Received healthy response to inference request in 3.5126423835754395s
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5th percentile: 2.436264228820801
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60th percentile: 2.621224117279053
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90th percentile: 3.2236419677734376
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Inference service zonemercy-vingt-deux-v0-1e5-v13-profiler ready after 190.4403772354126s
Pipeline stage MKMLProfilerDeployer completed in 190.87s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-vingt-deuxcdf78dd9f3f06171ef5e0179f513a287-deploglssd:/code/chaiverse_profiler_1727085036 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-vingt-deuxcdf78dd9f3f06171ef5e0179f513a287-deploglssd --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727085036 && 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_1727085036/summary.json'
kubectl exec -it zonemercy-vingt-deuxcdf78dd9f3f06171ef5e0179f513a287-deploglssd --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727085036/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1551.70s
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Running pipeline stage MKMLProfilerDeleter
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