submission_id: cycy233-l3-bp-v4-c3_v2
developer_uid: shiroe40
alignment_samples: 11192
alignment_score: -0.13571270580984793
best_of: 16
celo_rating: 1241.3
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-v4-c3
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-bp-v4-c3
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-bp-v4-c3
model_size: 8B
num_battles: 11192
num_wins: 5639
propriety_score: 0.7236024844720497
propriety_total_count: 966.0
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-09-03T02:37:17+00:00
us_pacific_date: 2024-09-02
win_ratio: 0.5038420300214439
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Running pipeline stage MKMLizer
Starting job with name cycy233-l3-bp-v4-c3-v2-mkmlizer
Waiting for job on cycy233-l3-bp-v4-c3-v2-mkmlizer to finish
cycy233-l3-bp-v4-c3-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-bp-v4-c3-v2-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-bp-v4-c3-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-bp-v4-c3-v2-mkmlizer: ║ /___/ ║
cycy233-l3-bp-v4-c3-v2-mkmlizer: ║ ║
cycy233-l3-bp-v4-c3-v2-mkmlizer: ║ Version: 0.10.1 ║
cycy233-l3-bp-v4-c3-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-bp-v4-c3-v2-mkmlizer: ║ https://mk1.ai ║
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cycy233-l3-bp-v4-c3-v2-mkmlizer: ║ The license key for the current software has been verified as ║
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cycy233-l3-bp-v4-c3-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-bp-v4-c3-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-bp-v4-c3-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-bp-v4-c3-v2-mkmlizer: ║ ║
cycy233-l3-bp-v4-c3-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bp-v4-c3-v2-mkmlizer: Downloaded to shared memory in 31.358s
cycy233-l3-bp-v4-c3-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8ek9u2rm, device:0
cycy233-l3-bp-v4-c3-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bp-v4-c3-v2-mkmlizer: quantized model in 25.494s
cycy233-l3-bp-v4-c3-v2-mkmlizer: Processed model cycy233/L3-bp-v4-c3 in 56.852s
cycy233-l3-bp-v4-c3-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bp-v4-c3-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bp-v4-c3-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bp-v4-c3-v2
cycy233-l3-bp-v4-c3-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bp-v4-c3-v2/config.json
cycy233-l3-bp-v4-c3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bp-v4-c3-v2/tokenizer_config.json
cycy233-l3-bp-v4-c3-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-bp-v4-c3-v2/special_tokens_map.json
cycy233-l3-bp-v4-c3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bp-v4-c3-v2/tokenizer.json
cycy233-l3-bp-v4-c3-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bp-v4-c3-v2/flywheel_model.0.safetensors
cycy233-l3-bp-v4-c3-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 7/291 [00:00<00:05, 49.66it/s] Loading 0: 8%|▊ | 22/291 [00:00<00:03, 87.13it/s] Loading 0: 12%|█▏ | 34/291 [00:00<00:02, 87.73it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:02, 97.53it/s] Loading 0: 21%|██ | 61/291 [00:00<00:02, 94.59it/s] Loading 0: 24%|██▍ | 71/291 [00:00<00:02, 96.08it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:07, 26.00it/s] Loading 0: 31%|███ | 90/291 [00:02<00:06, 29.71it/s] Loading 0: 35%|███▌ | 103/291 [00:02<00:04, 38.93it/s] Loading 0: 38%|███▊ | 112/291 [00:02<00:03, 45.40it/s] Loading 0: 43%|████▎ | 124/291 [00:02<00:03, 54.64it/s] Loading 0: 48%|████▊ | 139/291 [00:02<00:02, 66.63it/s] Loading 0: 51%|█████ | 148/291 [00:02<00:02, 70.96it/s] Loading 0: 54%|█████▍ | 157/291 [00:02<00:01, 72.96it/s] Loading 0: 58%|█████▊ | 169/291 [00:02<00:01, 75.31it/s] Loading 0: 63%|██████▎ | 184/291 [00:03<00:01, 84.61it/s] Loading 0: 67%|██████▋ | 194/291 [00:04<00:03, 26.36it/s] Loading 0: 69%|██████▉ | 202/291 [00:04<00:02, 31.13it/s] Loading 0: 74%|███████▎ | 214/291 [00:04<00:01, 39.20it/s] Loading 0: 79%|███████▊ | 229/291 [00:04<00:01, 51.22it/s] Loading 0: 82%|████████▏ | 238/291 [00:04<00:00, 55.92it/s] Loading 0: 85%|████████▍ | 247/291 [00:04<00:00, 59.55it/s] Loading 0: 88%|████████▊ | 256/291 [00:04<00:00, 63.86it/s] Loading 0: 92%|█████████▏| 267/291 [00:05<00:00, 73.60it/s] Loading 0: 95%|█████████▍| 276/291 [00:05<00:00, 76.26it/s] Loading 0: 98%|█████████▊| 285/291 [00:05<00:00, 78.20it/s]
Job cycy233-l3-bp-v4-c3-v2-mkmlizer completed after 75.51s with status: succeeded
Stopping job with name cycy233-l3-bp-v4-c3-v2-mkmlizer
Pipeline stage MKMLizer completed in 77.11s
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Pipeline stage MKMLTemplater completed in 0.10s
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Creating inference service cycy233-l3-bp-v4-c3-v2
Waiting for inference service cycy233-l3-bp-v4-c3-v2 to be ready
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Inference service cycy233-l3-bp-v4-c3-v2 ready after 150.75626492500305s
Pipeline stage MKMLDeployer completed in 151.34s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.607393264770508s
Received healthy response to inference request in 1.7324507236480713s
Received healthy response to inference request in 1.6579492092132568s
Received healthy response to inference request in 1.553945541381836s
Received healthy response to inference request in 1.8611397743225098s
5 requests
0 failed requests
5th percentile: 1.57474627494812
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20th percentile: 1.6371484756469727
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90th percentile: 2.3088918685913087
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99th percentile: 2.5775431251525878
mean time: 1.8825757026672363
Pipeline stage StressChecker completed in 10.96s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.39s
cycy233-l3-bp-v4-c3_v2 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service cycy233-l3-bp-v4-c3-v2-profiler
Waiting for inference service cycy233-l3-bp-v4-c3-v2-profiler to be ready
Inference service cycy233-l3-bp-v4-c3-v2-profiler ready after 140.38998818397522s
Pipeline stage MKMLProfilerDeployer completed in 140.86s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-bp-v4-c3-v2-profiler-predictor-00001-deploymentd26g6:/code/chaiverse_profiler_1725331465 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-bp-v4-c3-v2-profiler-predictor-00001-deploymentd26g6 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725331465 && 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_1725331465/summary.json'
cycy233-l3-bp-v4-c3_v2 status is now inactive due to auto deactivation removed underperforming models

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