submission_id: jic062-nemo-v1-8_v1
developer_uid: chace9580
best_of: 8
celo_rating: 1247.94
display_name: jic062-nemo-v1-8_v1
family_friendly_score: 0.5945134434284154
family_friendly_standard_error: 0.00569742600163381
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '/s', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
is_internal_developer: False
language_model: jic062/Nemo-v1.8
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: jic062/Nemo-v1.8
model_name: jic062-nemo-v1-8_v1
model_num_parameters: 12772070400.0
model_repo: jic062/Nemo-v1.8
model_size: 13B
num_battles: 7746
num_wins: 3801
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-09-29T01:19:59+00:00
us_pacific_date: 2024-09-28
win_ratio: 0.4907048799380325
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Running pipeline stage MKMLizer
Starting job with name jic062-nemo-v1-8-v1-mkmlizer
Waiting for job on jic062-nemo-v1-8-v1-mkmlizer to finish
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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name jic062-nemo-v1-8-v2-mkmlizer
Waiting for job on jic062-nemo-v1-8-v2-mkmlizer to finish
jic062-nemo-v1-8-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-nemo-v1-8-v1-mkmlizer: ║ _____ __ __ ║
jic062-nemo-v1-8-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jic062-nemo-v1-8-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jic062-nemo-v1-8-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jic062-nemo-v1-8-v1-mkmlizer: ║ /___/ ║
jic062-nemo-v1-8-v1-mkmlizer: ║ ║
jic062-nemo-v1-8-v1-mkmlizer: ║ Version: 0.11.12 ║
jic062-nemo-v1-8-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jic062-nemo-v1-8-v1-mkmlizer: ║ https://mk1.ai ║
jic062-nemo-v1-8-v1-mkmlizer: ║ ║
jic062-nemo-v1-8-v1-mkmlizer: ║ The license key for the current software has been verified as ║
jic062-nemo-v1-8-v1-mkmlizer: ║ belonging to: ║
jic062-nemo-v1-8-v1-mkmlizer: ║ ║
jic062-nemo-v1-8-v1-mkmlizer: ║ Chai Research Corp. ║
jic062-nemo-v1-8-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jic062-nemo-v1-8-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
jic062-nemo-v1-8-v1-mkmlizer: ║ ║
jic062-nemo-v1-8-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jic062-nemo-v1-8-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-nemo-v1-8-v2-mkmlizer: ║ _____ __ __ ║
jic062-nemo-v1-8-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jic062-nemo-v1-8-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jic062-nemo-v1-8-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jic062-nemo-v1-8-v2-mkmlizer: ║ /___/ ║
jic062-nemo-v1-8-v2-mkmlizer: ║ ║
jic062-nemo-v1-8-v2-mkmlizer: ║ Version: 0.11.12 ║
jic062-nemo-v1-8-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jic062-nemo-v1-8-v2-mkmlizer: ║ https://mk1.ai ║
jic062-nemo-v1-8-v2-mkmlizer: ║ ║
jic062-nemo-v1-8-v2-mkmlizer: ║ The license key for the current software has been verified as ║
jic062-nemo-v1-8-v2-mkmlizer: ║ belonging to: ║
jic062-nemo-v1-8-v2-mkmlizer: ║ ║
jic062-nemo-v1-8-v2-mkmlizer: ║ Chai Research Corp. ║
jic062-nemo-v1-8-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jic062-nemo-v1-8-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
jic062-nemo-v1-8-v2-mkmlizer: ║ ║
jic062-nemo-v1-8-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jic062-nemo-v1-8-v1-mkmlizer: Downloaded to shared memory in 56.379s
jic062-nemo-v1-8-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmps9jpjxi5, device:0
jic062-nemo-v1-8-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jic062-nemo-v1-8-v2-mkmlizer: Downloaded to shared memory in 45.063s
jic062-nemo-v1-8-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwb0rgvsw, device:0
jic062-nemo-v1-8-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jic062-nemo-v1-8-v2-mkmlizer: quantized model in 38.316s
jic062-nemo-v1-8-v2-mkmlizer: Processed model jic062/Nemo-v1.8 in 83.380s
jic062-nemo-v1-8-v2-mkmlizer: creating bucket guanaco-mkml-models
jic062-nemo-v1-8-v1-mkmlizer: quantized model in 37.967s
jic062-nemo-v1-8-v1-mkmlizer: Processed model jic062/Nemo-v1.8 in 94.346s
jic062-nemo-v1-8-v1-mkmlizer: creating bucket guanaco-mkml-models
jic062-nemo-v1-8-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-nemo-v1-8-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-nemo-v1-8-v1
jic062-nemo-v1-8-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-nemo-v1-8-v1/config.json
jic062-nemo-v1-8-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-nemo-v1-8-v1/special_tokens_map.json
jic062-nemo-v1-8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-nemo-v1-8-v1/tokenizer_config.json
jic062-nemo-v1-8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-nemo-v1-8-v1/tokenizer.json
jic062-nemo-v1-8-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-nemo-v1-8-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-nemo-v1-8-v2
jic062-nemo-v1-8-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-nemo-v1-8-v2/config.json
jic062-nemo-v1-8-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-nemo-v1-8-v2/special_tokens_map.json
jic062-nemo-v1-8-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-nemo-v1-8-v2/tokenizer_config.json
jic062-nemo-v1-8-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-nemo-v1-8-v2/tokenizer.json
jic062-nemo-v1-8-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-nemo-v1-8-v2/flywheel_model.0.safetensors
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jic062-nemo-v1-8-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-nemo-v1-8-v1/flywheel_model.0.safetensors
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Job jic062-nemo-v1-8-v1-mkmlizer completed after 124.64s with status: succeeded
Stopping job with name jic062-nemo-v1-8-v1-mkmlizer
Pipeline stage MKMLizer completed in 125.51s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service jic062-nemo-v1-8-v1
Waiting for inference service jic062-nemo-v1-8-v1 to be ready
Job jic062-nemo-v1-8-v2-mkmlizer completed after 113.91s with status: succeeded
Stopping job with name jic062-nemo-v1-8-v2-mkmlizer
Pipeline stage MKMLizer completed in 114.30s
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 jic062-nemo-v1-8-v2
Waiting for inference service jic062-nemo-v1-8-v2 to be ready
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 jic062-nemo-v1-6-v4-mkmlizer
Waiting for job on jic062-nemo-v1-6-v4-mkmlizer to finish
jic062-nemo-v1-6-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-nemo-v1-6-v4-mkmlizer: ║ _____ __ __ ║
jic062-nemo-v1-6-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jic062-nemo-v1-6-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jic062-nemo-v1-6-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jic062-nemo-v1-6-v4-mkmlizer: ║ /___/ ║
jic062-nemo-v1-6-v4-mkmlizer: ║ ║
jic062-nemo-v1-6-v4-mkmlizer: ║ Version: 0.11.12 ║
jic062-nemo-v1-6-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jic062-nemo-v1-6-v4-mkmlizer: ║ https://mk1.ai ║
jic062-nemo-v1-6-v4-mkmlizer: ║ ║
jic062-nemo-v1-6-v4-mkmlizer: ║ The license key for the current software has been verified as ║
jic062-nemo-v1-6-v4-mkmlizer: ║ belonging to: ║
jic062-nemo-v1-6-v4-mkmlizer: ║ ║
jic062-nemo-v1-6-v4-mkmlizer: ║ Chai Research Corp. ║
jic062-nemo-v1-6-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jic062-nemo-v1-6-v4-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
jic062-nemo-v1-6-v4-mkmlizer: ║ ║
jic062-nemo-v1-6-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Inference service jic062-nemo-v1-8-v1 ready after 230.64079999923706s
Pipeline stage MKMLDeployer completed in 231.16s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3941752910614014s
Received healthy response to inference request in 1.8138670921325684s
Inference service jic062-nemo-v1-8-v2 ready after 230.6058521270752s
Received healthy response to inference request in 2.036547899246216s
Pipeline stage MKMLDeployer completed in 231.05s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.058387279510498s
Received healthy response to inference request in 2.402942180633545s
Received healthy response to inference request in 1.9270868301391602s
5 requests
0 failed requests
5th percentile: 1.8365110397338866
10th percentile: 1.8591549873352051
Received healthy response to inference request in 1.7296473979949951s
20th percentile: 1.9044428825378419
30th percentile: 1.9489790439605712
40th percentile: 1.9927634716033935
50th percentile: 2.036547899246216
60th percentile: 2.045283651351929
70th percentile: 2.054019403457642
80th percentile: 2.125544881820679
90th percentile: 2.25986008644104
95th percentile: 2.3270176887512206
99th percentile: 2.380743770599365
mean time: 2.0460128784179688
Pipeline stage StressChecker completed in 12.39s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
jic062-nemo-v1-6-v4-mkmlizer: Downloaded to shared memory in 62.361s
jic062-nemo-v1-6-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpuqdz21op, device:0
jic062-nemo-v1-6-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Received healthy response to inference request in 1.7409923076629639s
Received healthy response to inference request in 1.69749116897583s
Received healthy response to inference request in 1.7477772235870361s
5 requests
0 failed requests
5th percentile: 1.703922414779663
10th percentile: 1.7103536605834961
20th percentile: 1.7232161521911622
30th percentile: 1.7319163799285888
40th percentile: 1.7364543437957765
50th percentile: 1.7409923076629639
60th percentile: 1.7437062740325928
70th percentile: 1.7464202404022218
Pipeline stage TriggerMKMLProfilingPipeline completed in 5.44s
80th percentile: 1.878810214996338
Shutdown handler de-registered
90th percentile: 2.1408761978149413
90th percentile: 2.1408761978149413
jic062-nemo-v1-8_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service jic062-nemo-v1-8-v1-profiler
Waiting for inference service jic062-nemo-v1-8-v1-profiler to be ready
Tearing down inference service jic062-nemo-v1-8-v1-profiler
%s, retrying in %s seconds...
Creating inference service jic062-nemo-v1-8-v1-profiler
Waiting for inference service jic062-nemo-v1-8-v1-profiler to be ready
Tearing down inference service jic062-nemo-v1-8-v1-profiler
%s, retrying in %s seconds...
Creating inference service jic062-nemo-v1-8-v1-profiler
Waiting for inference service jic062-nemo-v1-8-v1-profiler to be ready
Tearing down inference service jic062-nemo-v1-8-v1-profiler
clean up pipeline due to error=%s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
Shutdown handler de-registered
jic062-nemo-v1-8_v1 status is now inactive due to auto deactivation removed underperforming models