developer_uid: zonemercy
submission_id: zonemercy-base-story-v1_v1
model_name: 0906stv1-0
model_group: zonemercy/Base-Story-v1
status: torndown
timestamp: 2024-09-06T11:36:34+00:00
num_battles: 9898
num_wins: 4067
celo_rating: 1173.4
family_friendly_score: 0.0
submission_type: basic
model_repo: zonemercy/Base-Story-v1
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 2
max_input_tokens: 1024
max_output_tokens: 128
latencies: [{'batch_size': 1, 'throughput': 0.36314203889340946, 'latency_mean': 2.753683787584305, 'latency_p50': 2.7589499950408936, 'latency_p90': 2.9093472003936767}, {'batch_size': 3, 'throughput': 0.8542997651568991, 'latency_mean': 3.5039868676662445, 'latency_p50': 3.5036364793777466, 'latency_p90': 3.6810237884521486}, {'batch_size': 5, 'throughput': 1.1914904003230073, 'latency_mean': 4.180559868812561, 'latency_p50': 4.174777388572693, 'latency_p90': 4.4588957071304325}, {'batch_size': 6, 'throughput': 1.3087939481510427, 'latency_mean': 4.563299399614334, 'latency_p50': 4.560757398605347, 'latency_p90': 4.935302805900574}, {'batch_size': 8, 'throughput': 1.5105764407034332, 'latency_mean': 5.266079535484314, 'latency_p50': 5.241142392158508, 'latency_p90': 5.793050074577331}, {'batch_size': 10, 'throughput': 1.6127187175099926, 'latency_mean': 6.141436103582382, 'latency_p50': 6.1752893924713135, 'latency_p90': 6.628566408157349}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: 0906stv1-0
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: zonemercy/Base-Story-v1
model_size: 13B
ranking_group: single
throughput_3p7s: 0.97
us_pacific_date: 2024-09-06
win_ratio: 0.41089108910891087
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', 'Bot:', 'User:', 'You:'], 'max_input_tokens': 1024, 'best_of': 2, 'max_output_tokens': 128}
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 zonemercy-base-story-v1-v1-mkmlizer
Waiting for job on zonemercy-base-story-v1-v1-mkmlizer to finish
zonemercy-base-story-v1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-base-story-v1-v1-mkmlizer: ║ _____ __ __ ║
zonemercy-base-story-v1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zonemercy-base-story-v1-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-base-story-v1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-base-story-v1-v1-mkmlizer: ║ /___/ ║
zonemercy-base-story-v1-v1-mkmlizer: ║ ║
zonemercy-base-story-v1-v1-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-base-story-v1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-base-story-v1-v1-mkmlizer: ║ https://mk1.ai ║
zonemercy-base-story-v1-v1-mkmlizer: ║ ║
zonemercy-base-story-v1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-base-story-v1-v1-mkmlizer: ║ belonging to: ║
zonemercy-base-story-v1-v1-mkmlizer: ║ ║
zonemercy-base-story-v1-v1-mkmlizer: ║ Chai Research Corp. ║
zonemercy-base-story-v1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-base-story-v1-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-base-story-v1-v1-mkmlizer: ║ ║
zonemercy-base-story-v1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
zonemercy-base-story-v1-v1-mkmlizer: Downloaded to shared memory in 111.177s
zonemercy-base-story-v1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpy6qbl254, device:0
zonemercy-base-story-v1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-base-story-v1-v1-mkmlizer: quantized model in 41.031s
zonemercy-base-story-v1-v1-mkmlizer: Processed model zonemercy/Base-Story-v1 in 152.208s
zonemercy-base-story-v1-v1-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-base-story-v1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-base-story-v1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-base-story-v1-v1
zonemercy-base-story-v1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-base-story-v1-v1/config.json
zonemercy-base-story-v1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-base-story-v1-v1/special_tokens_map.json
zonemercy-base-story-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-base-story-v1-v1/tokenizer_config.json
zonemercy-base-story-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-base-story-v1-v1/tokenizer.json
zonemercy-base-story-v1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-base-story-v1-v1/flywheel_model.0.safetensors
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Job zonemercy-base-story-v1-v1-mkmlizer completed after 177.31s with status: succeeded
Stopping job with name zonemercy-base-story-v1-v1-mkmlizer
Pipeline stage MKMLizer completed in 178.43s
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Inference service zonemercy-base-story-v1-v1 ready after 150.37786269187927s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.7896196842193604s
Received healthy response to inference request in 1.98699951171875s
Received healthy response to inference request in 0.9872350692749023s
Received healthy response to inference request in 2.1342313289642334s
Received healthy response to inference request in 3.345421552658081s
5 requests
0 failed requests
5th percentile: 1.147711992263794
10th percentile: 1.3081889152526855
20th percentile: 1.6291427612304688
30th percentile: 1.8290956497192383
40th percentile: 1.908047580718994
50th percentile: 1.98699951171875
60th percentile: 2.0458922386169434
70th percentile: 2.1047849655151367
80th percentile: 2.376469373703003
90th percentile: 2.860945463180542
95th percentile: 3.1031835079193115
99th percentile: 3.296973943710327
mean time: 2.0487014293670653
Pipeline stage StressChecker completed in 11.19s
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Inference service zonemercy-base-story-v1-v1-profiler ready after 150.34159445762634s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-base-story-v1-v1-profiler-predictor-00001-deployrtb4r:/code/chaiverse_profiler_1725623130 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-base-story-v1-v1-profiler-predictor-00001-deployrtb4r --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725623130 && python profiles.py profile --best_of_n 2 --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 128 --summary /code/chaiverse_profiler_1725623130/summary.json'
kubectl exec -it zonemercy-base-story-v1-v1-profiler-predictor-00001-deployrtb4r --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725623130/summary.json'
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