submission_id: cycy233-l3-bp-v5-c3_v1
developer_uid: shiroe40
alignment_samples: 12604
alignment_score: -0.06906030263194332
best_of: 16
celo_rating: 1243.74
display_name: auto
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\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': ['<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cycy233/L3-bp-v5-c3
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-bp-v5-c3
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-bp-v5-c3
model_size: 8B
num_battles: 12604
num_wins: 6398
propriety_score: 0.7121634168987929
propriety_total_count: 1077.0
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-09-03T03:20:58+00:00
us_pacific_date: 2024-09-02
win_ratio: 0.5076166296413837
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Running pipeline stage MKMLizer
Starting job with name cycy233-l3-bp-v5-c3-v1-mkmlizer
Waiting for job on cycy233-l3-bp-v5-c3-v1-mkmlizer to finish
cycy233-l3-bp-v5-c3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-l3-bp-v5-c3-v1-mkmlizer: ║ ║
cycy233-l3-bp-v5-c3-v1-mkmlizer: ║ Version: 0.10.1 ║
cycy233-l3-bp-v5-c3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-bp-v5-c3-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-l3-bp-v5-c3-v1-mkmlizer: ║ Chai Research Corp. ║
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cycy233-l3-bp-v5-c3-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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cycy233-l3-bp-v5-c3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-l3-bp-v5-c3-v1-mkmlizer: Downloaded to shared memory in 37.114s
cycy233-l3-bp-v5-c3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpc40jkpu0, device:0
cycy233-l3-bp-v5-c3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bp-v5-c3-v1-mkmlizer: quantized model in 25.488s
cycy233-l3-bp-v5-c3-v1-mkmlizer: Processed model cycy233/L3-bp-v5-c3 in 62.602s
cycy233-l3-bp-v5-c3-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bp-v5-c3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bp-v5-c3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bp-v5-c3-v1
cycy233-l3-bp-v5-c3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bp-v5-c3-v1/config.json
cycy233-l3-bp-v5-c3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-bp-v5-c3-v1/special_tokens_map.json
cycy233-l3-bp-v5-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bp-v5-c3-v1/tokenizer_config.json
cycy233-l3-bp-v5-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bp-v5-c3-v1/tokenizer.json
cycy233-l3-bp-v5-c3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bp-v5-c3-v1/flywheel_model.0.safetensors
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Job cycy233-l3-bp-v5-c3-v1-mkmlizer completed after 83.8s with status: succeeded
Stopping job with name cycy233-l3-bp-v5-c3-v1-mkmlizer
Pipeline stage MKMLizer completed in 85.40s
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Creating inference service cycy233-l3-bp-v5-c3-v1
Waiting for inference service cycy233-l3-bp-v5-c3-v1 to be ready
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Inference service cycy233-l3-bp-v5-c3-v1 ready after 151.21867275238037s
Pipeline stage MKMLDeployer completed in 152.00s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.5092523097991943s
Received healthy response to inference request in 2.0884547233581543s
Received healthy response to inference request in 3.017096519470215s
Received healthy response to inference request in 1.9971332550048828s
Received healthy response to inference request in 1.705223560333252s
5 requests
0 failed requests
5th percentile: 1.763605499267578
10th percentile: 1.8219874382019043
20th percentile: 1.9387513160705567
30th percentile: 2.015397548675537
40th percentile: 2.0519261360168457
50th percentile: 2.0884547233581543
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70th percentile: 2.4250927925109864
80th percentile: 2.6108211517333983
90th percentile: 2.813958835601807
95th percentile: 2.915527677536011
99th percentile: 2.996782751083374
mean time: 2.2634320735931395
Pipeline stage StressChecker completed in 12.50s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 8.09s
cycy233-l3-bp-v5-c3_v1 status is now deployed due to DeploymentManager action
Failed to get response for submission mistralai-mixtral-8x7b_3473_v131: ('http://mistralai-mixtral-8x7b-3473-v131-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\')]"}')
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
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Pipeline stage MKMLProfilerTemplater completed in 0.14s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service cycy233-l3-bp-v5-c3-v1-profiler
Waiting for inference service cycy233-l3-bp-v5-c3-v1-profiler to be ready
Inference service cycy233-l3-bp-v5-c3-v1-profiler ready after 150.41145372390747s
Pipeline stage MKMLProfilerDeployer completed in 150.88s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-bp-v5-c3-v1-profiler-predictor-00001-deploymentlb4p5:/code/chaiverse_profiler_1725334113 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-bp-v5-c3-v1-profiler-predictor-00001-deploymentlb4p5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725334113 && 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_1725334113/summary.json'
cycy233-l3-bp-v5-c3_v1 status is now inactive due to auto deactivation removed underperforming models

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