developer_uid: zonemercy
submission_id: zonemercy-base-story-v1_v6
model_name: 0906stv1-1
model_group: zonemercy/Base-Story-v1
status: torndown
timestamp: 2024-09-06T12:41:04+00:00
num_battles: 9036
num_wins: 2275
celo_rating: 1036.05
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': 0.36295705488831975, 'latency_mean': 2.755058799982071, 'latency_p50': 2.7547740936279297, 'latency_p90': 2.914979600906372}, {'batch_size': 3, 'throughput': 0.8527788319070091, 'latency_mean': 3.4992504382133482, 'latency_p50': 3.483239531517029, 'latency_p90': 3.7174736738204954}, {'batch_size': 5, 'throughput': 1.1872521201706108, 'latency_mean': 4.1967936968803405, 'latency_p50': 4.210226893424988, 'latency_p90': 4.469111227989197}, {'batch_size': 6, 'throughput': 1.29864874539506, 'latency_mean': 4.5781274819374085, 'latency_p50': 4.573345184326172, 'latency_p90': 4.978791284561157}, {'batch_size': 8, 'throughput': 1.5004017987977094, 'latency_mean': 5.296925835609436, 'latency_p50': 5.308058738708496, 'latency_p90': 5.778457880020142}, {'batch_size': 10, 'throughput': 1.6156591556030862, 'latency_mean': 6.14864337682724, 'latency_p50': 6.144767761230469, 'latency_p90': 6.718078303337097}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: 0906stv1-1
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: 0.25177069499778665
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': "Write a slice of story that takes place over the course of a single day in Bot's life. Use stream-of-consciousness narration to explore the character's thoughts and perceptions. Include poetic, impressionistic descriptions of the character's surroundings and sensations. Weave in memories and reflections that provide insight into the Bot's past and inner life. The scene should feel like part of a lived-in world, with the scene naturally existing in a wider story.\nBot's Name: {bot_name}\nBot's Persona: {memory}\n####\n", 'prompt_template': '', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot[Start story]:', '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-v6-mkmlizer
Waiting for job on zonemercy-base-story-v1-v6-mkmlizer to finish
zonemercy-base-story-v1-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-base-story-v1-v6-mkmlizer: ║     _____            __           __                                ║
zonemercy-base-story-v1-v6-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
zonemercy-base-story-v1-v6-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
zonemercy-base-story-v1-v6-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
zonemercy-base-story-v1-v6-mkmlizer: ║       /___/                                                         ║
zonemercy-base-story-v1-v6-mkmlizer: ║                                                                     ║
zonemercy-base-story-v1-v6-mkmlizer: ║  Version: 0.10.1                                                    ║
zonemercy-base-story-v1-v6-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
zonemercy-base-story-v1-v6-mkmlizer: ║  https://mk1.ai                                                     ║
zonemercy-base-story-v1-v6-mkmlizer: ║                                                                     ║
zonemercy-base-story-v1-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
zonemercy-base-story-v1-v6-mkmlizer: ║  belonging to:                                                      ║
zonemercy-base-story-v1-v6-mkmlizer: ║                                                                     ║
zonemercy-base-story-v1-v6-mkmlizer: ║  Chai Research Corp.                                                ║
zonemercy-base-story-v1-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zonemercy-base-story-v1-v6-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
zonemercy-base-story-v1-v6-mkmlizer: ║                                                                     ║
zonemercy-base-story-v1-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission zonemercy-lexical-nemo-_1518_v23: ('http://zonemercy-lexical-nemo-1518-v23-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Failed to get response for submission zonemercy-base-story-v1_v3: ('http://zonemercy-base-story-v1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'upstream connect error or disconnect/reset before headers. reset reason: connection timeout')
Failed to get response for submission zonemercy-base-story-v1_v3: ('http://zonemercy-base-story-v1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'upstream connect error or disconnect/reset before headers. reset reason: connection timeout')
zonemercy-base-story-v1-v6-mkmlizer: Downloaded to shared memory in 51.070s
zonemercy-base-story-v1-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkqf6nigy, device:0
zonemercy-base-story-v1-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission zonemercy-base-story-v1_v2: ('http://zonemercy-base-story-v1-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Failed to get response for submission zonemercy-base-story-v1_v3: ('http://zonemercy-base-story-v1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'upstream connect error or disconnect/reset before headers. reset reason: connection timeout')
zonemercy-base-story-v1-v6-mkmlizer: quantized model in 41.516s
zonemercy-base-story-v1-v6-mkmlizer: Processed model zonemercy/Base-Story-v1 in 92.586s
zonemercy-base-story-v1-v6-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-base-story-v1-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-base-story-v1-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-base-story-v1-v6
zonemercy-base-story-v1-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-base-story-v1-v6/config.json
zonemercy-base-story-v1-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-base-story-v1-v6/special_tokens_map.json
zonemercy-base-story-v1-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-base-story-v1-v6/tokenizer_config.json
zonemercy-base-story-v1-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-base-story-v1-v6/tokenizer.json
zonemercy-base-story-v1-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-base-story-v1-v6/flywheel_model.0.safetensors
zonemercy-base-story-v1-v6-mkmlizer: 
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Job zonemercy-base-story-v1-v6-mkmlizer completed after 116.3s with status: succeeded
Stopping job with name zonemercy-base-story-v1-v6-mkmlizer
Pipeline stage MKMLizer completed in 117.44s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service zonemercy-base-story-v1-v6
Waiting for inference service zonemercy-base-story-v1-v6 to be ready
Failed to get response for submission zonemercy-base-story-v1_v3: ('http://zonemercy-base-story-v1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'upstream connect error or disconnect/reset before headers. reset reason: connection timeout')
Failed to get response for submission zonemercy-base-story-v1_v3: ('http://zonemercy-base-story-v1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'upstream connect error or disconnect/reset before headers. reset reason: connection timeout')
Failed to get response for submission zonemercy-base-story-v1_v3: ('http://chaiml-llama-8b-pairwis-8189-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Failed to get response for submission zonemercy-base-story-v1_v3: ('http://zonemercy-base-story-v1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'upstream connect error or disconnect/reset before headers. reset reason: connection timeout')
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Failed to get response for submission zonemercy-base-story-v1_v2: ('http://zonemercy-base-story-v1-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Failed to get response for submission blend_jerun_2024-08-22: ('http://chaiml-lexical-nemo-v4-1k1e5-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Failed to get response for submission zonemercy-base-story-v1_v3: ('http://zonemercy-base-story-v1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Failed to get response for submission zonemercy-base-story-v1_v3: ('http://zonemercy-base-story-v1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Inference service zonemercy-base-story-v1-v6 ready after 150.62859654426575s
Pipeline stage MKMLDeployer completed in 151.01s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.1864542961120605s
Received healthy response to inference request in 3.5402932167053223s
Received healthy response to inference request in 2.83565354347229s
Received healthy response to inference request in 3.0089921951293945s
Received healthy response to inference request in 2.8004508018493652s
5 requests
0 failed requests
5th percentile: 2.80749135017395
10th percentile: 2.8145318984985352
20th percentile: 2.8286129951477053
30th percentile: 2.870321273803711
40th percentile: 2.9396567344665527
50th percentile: 3.0089921951293945
60th percentile: 3.079977035522461
70th percentile: 3.1509618759155273
80th percentile: 3.257222080230713
90th percentile: 3.3987576484680178
95th percentile: 3.46952543258667
99th percentile: 3.5261396598815917
mean time: 3.0743688106536866
Pipeline stage StressChecker completed in 16.12s
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Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 5.16s
Shutdown handler de-registered
zonemercy-base-story-v1_v6 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-base-story-v1-v6-profiler
Waiting for inference service zonemercy-base-story-v1-v6-profiler to be ready
Inference service zonemercy-base-story-v1-v6-profiler ready after 150.3759834766388s
Pipeline stage MKMLProfilerDeployer completed in 150.77s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-base-story-v1-v6-profiler-predictor-00001-deploywstq2:/code/chaiverse_profiler_1725626941 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-base-story-v1-v6-profiler-predictor-00001-deploywstq2 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725626941 && 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_1725626941/summary.json'
kubectl exec -it zonemercy-base-story-v1-v6-profiler-predictor-00001-deploywstq2 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725626941/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1371.47s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-base-story-v1-v6-profiler is running
Tearing down inference service zonemercy-base-story-v1-v6-profiler
Service zonemercy-base-story-v1-v6-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.72s
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admin requested tearing down of zonemercy-lexical-nemo-_1518_v23
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zonemercy-base-story-v1_v6 status is now torndown due to DeploymentManager action
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