submission_id: zonemercy-vingt-deux-v1-1e5_v14
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1252.72
display_name: temp-2
family_friendly_score: 0.0
formatter: {'memory_template': 'Bot Name: {bot_name}\n####\n', '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}
ineligible_reason: num_battles<5000
is_internal_developer: True
language_model: zonemercy/Vingt-Deux-v1-1e5
latencies: [{'batch_size': 1, 'throughput': 0.38068603138018475, 'latency_mean': 2.626735394001007, 'latency_p50': 2.6319326162338257, 'latency_p90': 2.8831411123275754}, {'batch_size': 2, 'throughput': 0.6020152279422245, 'latency_mean': 3.3200962388515474, 'latency_p50': 3.3052244186401367, 'latency_p90': 3.6649402379989624}, {'batch_size': 3, 'throughput': 0.7568094206871286, 'latency_mean': 3.943538919687271, 'latency_p50': 3.933316946029663, 'latency_p90': 4.345567798614502}, {'batch_size': 4, 'throughput': 0.886583162807473, 'latency_mean': 4.482005310058594, 'latency_p50': 4.47961699962616, 'latency_p90': 5.019533395767212}, {'batch_size': 5, 'throughput': 0.9619844819801188, 'latency_mean': 5.165131469964981, 'latency_p50': 5.152692914009094, 'latency_p90': 5.753828477859497}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Vingt-Deux-v1-
model_name: temp-2
model_num_parameters: 22247282688.0
model_repo: zonemercy/Vingt-Deux-v1-1e5
model_size: 22B
num_battles: 3459
num_wins: 1744
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 0.71
timestamp: 2024-09-24T22:33:02+00:00
us_pacific_date: 2024-09-24
win_ratio: 0.5041919629950853
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Running pipeline stage MKMLizer
Starting job with name zonemercy-vingt-deux-v1-1e5-v14-mkmlizer
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zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: ║ _____ __ __ ║
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zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: ║ /___/ ║
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: ║ ║
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: ║ https://mk1.ai ║
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zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: ║ Chai Research Corp. ║
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: ║ ║
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: Downloaded to shared memory in 55.869s
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0lqvzsvi, device:0
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: quantized model in 44.908s
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: Processed model zonemercy/Vingt-Deux-v1-1e5 in 100.777s
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v1-1e5-v14/config.json
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v1-1e5-v14/special_tokens_map.json
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v1-1e5-v14/tokenizer_config.json
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v1-1e5-v14/tokenizer.json
zonemercy-vingt-deux-v1-1e5-v14-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-vingt-deux-v1-1e5-v14/flywheel_model.0.safetensors
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Job zonemercy-vingt-deux-v1-1e5-v14-mkmlizer completed after 262.41s with status: succeeded
Stopping job with name zonemercy-vingt-deux-v1-1e5-v14-mkmlizer
Pipeline stage MKMLizer completed in 264.18s
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Creating inference service zonemercy-vingt-deux-v1-1e5-v14
Waiting for inference service zonemercy-vingt-deux-v1-1e5-v14 to be ready
Failed to get response for submission blend_dimam_2024-09-20: ('http://zonemercy-virgo-edit-v1-1e5-v13-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'readfrom tcp 127.0.0.1:49262->127.0.0.1:8080: write tcp 127.0.0.1:49262->127.0.0.1:8080: use of closed network connection\n')
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Inference service zonemercy-vingt-deux-v1-1e5-v14 ready after 212.80866265296936s
Pipeline stage MKMLDeployer completed in 213.14s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.288651943206787s
Received healthy response to inference request in 3.2632462978363037s
Received healthy response to inference request in 2.92219877243042s
Received healthy response to inference request in 2.7087998390197754s
Received healthy response to inference request in 2.751703977584839s
5 requests
0 failed requests
5th percentile: 2.717380666732788
10th percentile: 2.7259614944458006
20th percentile: 2.7431231498718263
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50th percentile: 2.92219877243042
60th percentile: 3.0586177825927736
70th percentile: 3.195036792755127
80th percentile: 3.2683274269104006
90th percentile: 3.278489685058594
95th percentile: 3.2835708141326903
99th percentile: 3.287635717391968
mean time: 2.986920166015625
Pipeline stage StressChecker completed in 17.80s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 8.17s
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zonemercy-vingt-deux-v1-1e5_v14 status is now deployed due to DeploymentManager action
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Skipping teardown as no inference service was successfully deployed
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Pipeline stage MKMLProfilerTemplater completed in 0.14s
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Creating inference service zonemercy-vingt-deux-v1-1e5-v14-profiler
Waiting for inference service zonemercy-vingt-deux-v1-1e5-v14-profiler to be ready
Inference service zonemercy-vingt-deux-v1-1e5-v14-profiler ready after 220.54357647895813s
Pipeline stage MKMLProfilerDeployer completed in 220.95s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-vingt-deuxac5992090466e320e0588fe0ac5f8713-deploz46dg:/code/chaiverse_profiler_1727217952 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-vingt-deuxac5992090466e320e0588fe0ac5f8713-deploz46dg --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727217952 && 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_1727217952/summary.json'
kubectl exec -it zonemercy-vingt-deuxac5992090466e320e0588fe0ac5f8713-deploz46dg --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727217952/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1560.27s
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Checking if service zonemercy-vingt-deux-v1-1e5-v14-profiler is running
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