submission_id: zonemercy-vingt-deux-v0-1e5_v39
developer_uid: chai_backend_admin
best_of: 1
celo_rating: 1200.05
display_name: temp-1
family_friendly_score: 0.0
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', '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': 1, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A6000': 1}
ineligible_reason: num_battles<5000
is_internal_developer: True
language_model: zonemercy/Vingt-Deux-v0-1e5
latencies: [{'batch_size': 1, 'throughput': 0.4029170515405178, 'latency_mean': 2.4817992341518402, 'latency_p50': 2.4601415395736694, 'latency_p90': 2.7427843809127808}, {'batch_size': 3, 'throughput': 0.8630444294603712, 'latency_mean': 3.4526650595664976, 'latency_p50': 3.459192395210266, 'latency_p90': 3.7715953588485718}, {'batch_size': 5, 'throughput': 1.1657194101881192, 'latency_mean': 4.258791793584823, 'latency_p50': 4.237025141716003, 'latency_p90': 4.842669534683227}, {'batch_size': 6, 'throughput': 1.2812319560596783, 'latency_mean': 4.667288824319839, 'latency_p50': 4.629462003707886, 'latency_p90': 5.282447028160095}, {'batch_size': 8, 'throughput': 1.460670907416445, 'latency_mean': 5.423549909591674, 'latency_p50': 5.419317245483398, 'latency_p90': 6.129623460769653}, {'batch_size': 10, 'throughput': 1.5909826483504226, 'latency_mean': 6.209492706060409, 'latency_p50': 6.187273979187012, 'latency_p90': 6.967864966392517}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Vingt-Deux-v0-
model_name: temp-1
model_num_parameters: 22247282688.0
model_repo: zonemercy/Vingt-Deux-v0-1e5
model_size: 22B
num_battles: 4299
num_wins: 1935
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 0.98
timestamp: 2024-09-24T10:21:24+00:00
us_pacific_date: 2024-09-24
win_ratio: 0.45010467550593164
Download Preference Data
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Starting job with name zonemercy-vingt-deux-v0-1e5-v39-mkmlizer
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zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ║ _____ __ __ ║
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zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ║ /___/ ║
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ║ ║
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ║ https://mk1.ai ║
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ║ ║
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ║ belonging to: ║
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zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ║ Chai Research Corp. ║
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ║ ║
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: Downloaded to shared memory in 50.824s
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmppiofjkt7, device:0
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: quantized model in 45.292s
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: Processed model zonemercy/Vingt-Deux-v0-1e5 in 96.116s
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v39/config.json
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v39/special_tokens_map.json
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v39/tokenizer_config.json
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v39/tokenizer.json
zonemercy-vingt-deux-v0-1e5-v39-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v39/flywheel_model.0.safetensors
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Job zonemercy-vingt-deux-v0-1e5-v39-mkmlizer completed after 134.66s with status: succeeded
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Inference service zonemercy-vingt-deux-v0-1e5-v39 ready after 200.98174953460693s
Pipeline stage MKMLDeployer completed in 201.30s
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Received healthy response to inference request in 3.1384098529815674s
Received healthy response to inference request in 2.3633501529693604s
Received healthy response to inference request in 3.7830135822296143s
Received healthy response to inference request in 2.493854284286499s
Received healthy response to inference request in 2.646775484085083s
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mean time: 2.885080671310425
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Inference service zonemercy-vingt-deux-v0-1e5-v39-profiler ready after 210.48012733459473s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-vingt-deux4d62e3fd58d7d9bb0e21e8adfd99cce1-deplowffk8:/code/chaiverse_profiler_1727173906 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-vingt-deux4d62e3fd58d7d9bb0e21e8adfd99cce1-deplowffk8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727173906 && python profiles.py profile --best_of_n 1 --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_1727173906/summary.json'
kubectl exec -it zonemercy-vingt-deux4d62e3fd58d7d9bb0e21e8adfd99cce1-deplowffk8 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727173906/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1323.30s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-vingt-deux-v0-1e5-v39-profiler is running
Tearing down inference service zonemercy-vingt-deux-v0-1e5-v39-profiler
Service zonemercy-vingt-deux-v0-1e5-v39-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.01s
Shutdown handler de-registered
zonemercy-vingt-deux-v0-1e5_v39 status is now inactive due to auto deactivation removed underperforming models
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admin requested tearing down of zonemercy-vingt-deux-v0-1e5_v39
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Shutdown handler not registered because Python interpreter is not running in the main thread
admin requested tearing down of zonemercy-vingt-deux-v0-1e5_v40
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Shutdown handler not registered because Python interpreter is not running in the main thread
admin requested tearing down of zonemercy-vingt-deux-v0-1e5_v41
Running pipeline stage MKMLDeleter
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Shutdown handler not registered because Python interpreter is not running in the main thread
admin requested tearing down of zonemercy-vingt-deux-v0-1e5_v42
Running pipeline stage MKMLDeleter
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Shutdown handler not registered because Python interpreter is not running in the main thread
admin requested tearing down of zonemercy-vingt-deux-v0-1e5_v43
%s, retrying in %s seconds...
Running pipeline stage MKMLDeleter
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Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLDeleter
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clean up pipeline due to error=TeardownError("module 'kubernetes.config' has no attribute 'load_kube_config'")
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Running pipeline stage MKMLDeleter
Shutdown handler de-registered
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zonemercy-vingt-deux-v0-1e5_v39 status is now torndown due to DeploymentManager action