submission_id: trace2333-fd-ultra-dl-axo-ep1_v2
developer_uid: Trace2333
alignment_samples: 13020
alignment_score: 0.2881014427132732
best_of: 16
celo_rating: 1225.35
display_name: trace2333-fd-ultra-dl-axo-ep1_v2
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': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: Trace2333/fd_ultra_dl_axo_ep1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Trace2333/fd_ultra_dl_ax
model_name: trace2333-fd-ultra-dl-axo-ep1_v2
model_num_parameters: 8030261248.0
model_repo: Trace2333/fd_ultra_dl_axo_ep1
model_size: 8B
num_battles: 13019
num_wins: 6279
propriety_score: 0.7472222222222222
propriety_total_count: 1080.0
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-09-03T12:29:36+00:00
us_pacific_date: 2024-09-03
win_ratio: 0.48229510715108687
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run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer
Waiting for job on trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer to finish
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ _____ __ __ ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ /___/ ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ Version: 0.10.1 ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ https://mk1.ai ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ The license key for the current software has been verified as ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ belonging to: ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ Chai Research Corp. ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ║ ║
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: Downloaded to shared memory in 38.245s
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7v67jaem, device:0
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: quantized model in 28.956s
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: Processed model Trace2333/fd_ultra_dl_axo_ep1 in 67.202s
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-ultra-dl-axo-ep1-v2
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-fd-ultra-dl-axo-ep1-v2/config.json
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-ultra-dl-axo-ep1-v2/special_tokens_map.json
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-ultra-dl-axo-ep1-v2/tokenizer_config.json
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-fd-ultra-dl-axo-ep1-v2/tokenizer.json
trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-ultra-dl-axo-ep1-v2/flywheel_model.0.safetensors
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Job trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer completed after 84.4s with status: succeeded
Stopping job with name trace2333-fd-ultra-dl-axo-ep1-v2-mkmlizer
Pipeline stage MKMLizer completed in 86.07s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.10s
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Running pipeline stage MKMLDeployer
Creating inference service trace2333-fd-ultra-dl-axo-ep1-v2
Waiting for inference service trace2333-fd-ultra-dl-axo-ep1-v2 to be ready
Failed to get response for submission blend_fedek_2024-08-24: ('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\')]"}')
Inference service trace2333-fd-ultra-dl-axo-ep1-v2 ready after 151.07064199447632s
Pipeline stage MKMLDeployer completed in 152.68s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.017573595046997s
Received healthy response to inference request in 2.896625518798828s
Received healthy response to inference request in 2.0239980220794678s
Received healthy response to inference request in 1.8263142108917236s
Received healthy response to inference request in 1.8551349639892578s
5 requests
0 failed requests
5th percentile: 1.8320783615112304
10th percentile: 1.8378425121307373
20th percentile: 1.849370813369751
30th percentile: 1.8889075756072997
40th percentile: 1.9564527988433837
50th percentile: 2.0239980220794678
60th percentile: 2.373049020767212
70th percentile: 2.722100019454956
80th percentile: 2.920815134048462
90th percentile: 2.9691943645477297
95th percentile: 2.9933839797973634
99th percentile: 3.01273567199707
mean time: 2.323929262161255
Pipeline stage StressChecker completed in 13.13s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
starting trigger_guanaco_pipeline %s
Pipeline stage TriggerMKMLProfilingPipeline completed in 4.99s
trace2333-fd-ultra-dl-axo-ep1_v2 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.16s
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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 trace2333-fd-ultra-dl-axo-ep1-v2-profiler
Waiting for inference service trace2333-fd-ultra-dl-axo-ep1-v2-profiler to be ready
Inference service trace2333-fd-ultra-dl-axo-ep1-v2-profiler ready after 140.37704229354858s
Pipeline stage MKMLProfilerDeployer completed in 140.88s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-fd-ultra-d4962a6cccec1f4e2496d1d26b5f1c141-deplog4m99:/code/chaiverse_profiler_1725367020 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-fd-ultra-d4962a6cccec1f4e2496d1d26b5f1c141-deplog4m99 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725367020 && chmod +x profiles.py && python profiles.py profile --best_of_n 16 --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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725367020/summary.json'
trace2333-fd-ultra-dl-axo-ep1_v2 status is now inactive due to auto deactivation removed underperforming models

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