submission_id: cycy233-l3-bp-v5-c4_v1
developer_uid: shiroe40
alignment_samples: 12502
alignment_score: 0.1239515944145466
best_of: 16
celo_rating: 1238.65
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-c4
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-bp-v5-c4
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-bp-v5-c4
model_size: 8B
num_battles: 12502
num_wins: 6253
propriety_score: 0.7023809523809523
propriety_total_count: 1092.0
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-09-03T03:21:13+00:00
us_pacific_date: 2024-09-02
win_ratio: 0.5001599744040953
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Running pipeline stage MKMLizer
Starting job with name cycy233-l3-bp-v5-c4-v1-mkmlizer
Waiting for job on cycy233-l3-bp-v5-c4-v1-mkmlizer to finish
cycy233-l3-bp-v5-c4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-l3-bp-v5-c4-v1-mkmlizer: ║ ║
cycy233-l3-bp-v5-c4-v1-mkmlizer: ║ Version: 0.10.1 ║
cycy233-l3-bp-v5-c4-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-bp-v5-c4-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-l3-bp-v5-c4-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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cycy233-l3-bp-v5-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bp-v5-c4-v1-mkmlizer: Downloaded to shared memory in 37.218s
cycy233-l3-bp-v5-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpczhwumna, device:0
cycy233-l3-bp-v5-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
cycy233-l3-bp-v5-c4-v1-mkmlizer: quantized model in 25.828s
cycy233-l3-bp-v5-c4-v1-mkmlizer: Processed model cycy233/L3-bp-v5-c4 in 63.047s
cycy233-l3-bp-v5-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bp-v5-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bp-v5-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bp-v5-c4-v1
cycy233-l3-bp-v5-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bp-v5-c4-v1/config.json
cycy233-l3-bp-v5-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-bp-v5-c4-v1/special_tokens_map.json
cycy233-l3-bp-v5-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bp-v5-c4-v1/tokenizer_config.json
cycy233-l3-bp-v5-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bp-v5-c4-v1/tokenizer.json
cycy233-l3-bp-v5-c4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bp-v5-c4-v1/flywheel_model.0.safetensors
cycy233-l3-bp-v5-c4-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%|▏ | 4/291 [00:00<00:07, 37.55it/s] Loading 0: 5%|▌ | 16/291 [00:00<00:04, 67.28it/s] Loading 0: 9%|▊ | 25/291 [00:00<00:03, 70.46it/s] Loading 0: 12%|█▏ | 34/291 [00:00<00:03, 70.06it/s] Loading 0: 15%|█▍ | 43/291 [00:00<00:03, 75.10it/s] Loading 0: 20%|█▉ | 58/291 [00:00<00:02, 86.21it/s] Loading 0: 23%|██▎ | 67/291 [00:00<00:02, 86.34it/s] Loading 0: 26%|██▌ | 76/291 [00:00<00:02, 81.47it/s] Loading 0: 29%|██▉ | 85/291 [00:02<00:09, 21.31it/s] Loading 0: 32%|███▏ | 94/291 [00:02<00:07, 27.49it/s] Loading 0: 36%|███▋ | 106/291 [00:02<00:05, 36.30it/s] Loading 0: 42%|████▏ | 121/291 [00:02<00:03, 48.50it/s] Loading 0: 45%|████▍ | 130/291 [00:02<00:03, 53.05it/s] Loading 0: 48%|████▊ | 139/291 [00:02<00:02, 57.91it/s] Loading 0: 52%|█████▏ | 151/291 [00:02<00:02, 64.37it/s] Loading 0: 55%|█████▍ | 160/291 [00:03<00:01, 69.49it/s] Loading 0: 58%|█████▊ | 169/291 [00:03<00:01, 73.53it/s] Loading 0: 61%|██████ | 178/291 [00:03<00:01, 76.47it/s] Loading 0: 64%|██████▍ | 187/291 [00:04<00:04, 22.19it/s] Loading 0: 67%|██████▋ | 196/291 [00:04<00:03, 27.77it/s] Loading 0: 73%|███████▎ | 211/291 [00:04<00:02, 39.35it/s] Loading 0: 77%|███████▋ | 223/291 [00:04<00:01, 47.50it/s] Loading 0: 80%|███████▉ | 232/291 [00:04<00:01, 53.55it/s] Loading 0: 83%|████████▎ | 241/291 [00:05<00:00, 58.08it/s] Loading 0: 86%|████████▌ | 250/291 [00:05<00:00, 62.11it/s] Loading 0: 89%|████████▉ | 259/291 [00:05<00:00, 67.92it/s] Loading 0: 92%|█████████▏| 268/291 [00:05<00:00, 71.80it/s] Loading 0: 97%|█████████▋| 283/291 [00:05<00:00, 82.17it/s]
Job cycy233-l3-bp-v5-c4-v1-mkmlizer completed after 84.15s with status: succeeded
Stopping job with name cycy233-l3-bp-v5-c4-v1-mkmlizer
Pipeline stage MKMLizer completed in 85.00s
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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 cycy233-l3-bp-v5-c4-v1
Waiting for inference service cycy233-l3-bp-v5-c4-v1 to be ready
Failed to get response for submission blend_jitik_2024-08-26: ('http://zonemercy-lexical-nemo-1518-v18-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:41684->127.0.0.1:8080: read: connection reset by peer\n')
Inference service cycy233-l3-bp-v5-c4-v1 ready after 141.06339979171753s
Pipeline stage MKMLDeployer completed in 141.53s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.7076220512390137s
Received healthy response to inference request in 2.0565719604492188s
Received healthy response to inference request in 1.8717381954193115s
Received healthy response to inference request in 1.7923486232757568s
Received healthy response to inference request in 1.524618148803711s
5 requests
0 failed requests
5th percentile: 1.57816424369812
10th percentile: 1.6317103385925293
20th percentile: 1.7388025283813477
30th percentile: 1.8082265377044677
40th percentile: 1.8399823665618897
50th percentile: 1.8717381954193115
60th percentile: 1.9456717014312743
70th percentile: 2.019605207443237
80th percentile: 2.186781978607178
90th percentile: 2.4472020149230955
95th percentile: 2.5774120330810546
99th percentile: 2.681580047607422
mean time: 1.9905797958374023
Pipeline stage StressChecker completed in 10.72s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.85s
cycy233-l3-bp-v5-c4_v1 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 0.15s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service cycy233-l3-bp-v5-c4-v1-profiler
Waiting for inference service cycy233-l3-bp-v5-c4-v1-profiler to be ready
Inference service cycy233-l3-bp-v5-c4-v1-profiler ready after 160.36361646652222s
Pipeline stage MKMLProfilerDeployer completed in 160.81s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-bp-v5-c4-v1-profiler-predictor-00001-deployment54ft9:/code/chaiverse_profiler_1725334123 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-bp-v5-c4-v1-profiler-predictor-00001-deployment54ft9 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725334123 && 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_1725334123/summary.json'
cycy233-l3-bp-v5-c4_v1 status is now inactive due to auto deactivation removed underperforming models

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