submission_id: zonemercy-base-story-v1_v1
developer_uid: zonemercy
best_of: 2
celo_rating: 1173.4
display_name: 0906stv1-0
family_friendly_score: 0.0
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': 0.05, '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}
gpu_counts: {'NVIDIA RTX A5000': 1}
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: zonemercy/Base-Story-v1
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}]
max_input_tokens: 1024
max_output_tokens: 128
model_architecture: MistralForCausalLM
model_group: zonemercy/Base-Story-v1
model_name: 0906stv1-0
model_num_parameters: 12772070400.0
model_repo: zonemercy/Base-Story-v1
model_size: 13B
num_battles: 9898
num_wins: 4067
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 0.97
timestamp: 2024-09-06T11:36:34+00:00
us_pacific_date: 2024-09-06
win_ratio: 0.41089108910891087
Download Preference Data
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 ║
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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
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Inference service zonemercy-base-story-v1-v1 ready after 150.37786269187927s
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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
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mean time: 2.0487014293670653
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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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