submission_id: cycy233-l3-bp-v6-c4_v1
developer_uid: shiroe40
alignment_samples: 11512
alignment_score: -0.372277170313015
best_of: 16
celo_rating: 1254.13
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}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/L3-bp-v6-c4
latencies: [{'batch_size': 1, 'throughput': 0.910075303717869, 'latency_mean': 1.0987477123737335, 'latency_p50': 1.1003715991973877, 'latency_p90': 1.233406138420105}, {'batch_size': 4, 'throughput': 1.7993466095339878, 'latency_mean': 2.2074799716472624, 'latency_p50': 2.230735659599304, 'latency_p90': 2.464766597747803}, {'batch_size': 5, 'throughput': 1.9014867980067072, 'latency_mean': 2.6224301612377166, 'latency_p50': 2.6265194416046143, 'latency_p90': 2.9348464012145996}, {'batch_size': 8, 'throughput': 2.03030607586412, 'latency_mean': 3.9151843690872195, 'latency_p50': 3.9182769060134888, 'latency_p90': 4.415373349189758}, {'batch_size': 10, 'throughput': 2.065081587544961, 'latency_mean': 4.791423820257187, 'latency_p50': 4.775902032852173, 'latency_p90': 5.573750424385071}, {'batch_size': 12, 'throughput': 2.024231040278091, 'latency_mean': 5.851776167154312, 'latency_p50': 5.877109169960022, 'latency_p90': 6.616562342643737}, {'batch_size': 15, 'throughput': 2.038845315739247, 'latency_mean': 7.210738358497619, 'latency_p50': 7.33655321598053, 'latency_p90': 8.003422713279724}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-bp-v6-c4
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-bp-v6-c4
model_size: 8B
num_battles: 11512
num_wins: 5964
propriety_score: 0.7310344827586207
propriety_total_count: 1015.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 2.03
timestamp: 2024-09-05T03:17:16+00:00
us_pacific_date: 2024-09-04
win_ratio: 0.5180681028492008
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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-bp-v6-c4-v1-mkmlizer
Waiting for job on cycy233-l3-bp-v6-c4-v1-mkmlizer to finish
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cycy233-l3-bp-v6-c4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-bp-v6-c4-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-bp-v6-c4-v1-mkmlizer: ║ ║
cycy233-l3-bp-v6-c4-v1-mkmlizer: ║ Version: 0.10.1 ║
cycy233-l3-bp-v6-c4-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-bp-v6-c4-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-l3-bp-v6-c4-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-bp-v6-c4-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-bp-v6-c4-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-bp-v6-c4-v1-mkmlizer: ║ ║
cycy233-l3-bp-v6-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bp-v6-c4-v1-mkmlizer: Downloaded to shared memory in 38.418s
cycy233-l3-bp-v6-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpa1xgc0do, device:0
cycy233-l3-bp-v6-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bp-v6-c4-v1-mkmlizer: quantized model in 25.743s
cycy233-l3-bp-v6-c4-v1-mkmlizer: Processed model cycy233/L3-bp-v6-c4 in 64.162s
cycy233-l3-bp-v6-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bp-v6-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bp-v6-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bp-v6-c4-v1
cycy233-l3-bp-v6-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bp-v6-c4-v1/config.json
cycy233-l3-bp-v6-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-bp-v6-c4-v1/special_tokens_map.json
cycy233-l3-bp-v6-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bp-v6-c4-v1/tokenizer_config.json
cycy233-l3-bp-v6-c4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bp-v6-c4-v1/flywheel_model.0.safetensors
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Job cycy233-l3-bp-v6-c4-v1-mkmlizer completed after 83.37s with status: succeeded
Stopping job with name cycy233-l3-bp-v6-c4-v1-mkmlizer
Pipeline stage MKMLizer completed in 85.00s
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Creating inference service cycy233-l3-bp-v6-c4-v1
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Inference service cycy233-l3-bp-v6-c4-v1 ready after 150.66979718208313s
Pipeline stage MKMLDeployer completed in 151.05s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.621821641921997s
Received healthy response to inference request in 3.7298378944396973s
Received healthy response to inference request in 3.53169584274292s
Received healthy response to inference request in 1.4046199321746826s
Received healthy response to inference request in 2.013681411743164s
5 requests
0 failed requests
5th percentile: 1.5264322280883789
10th percentile: 1.648244524002075
20th percentile: 1.8918691158294678
30th percentile: 2.1353094577789307
40th percentile: 2.378565549850464
50th percentile: 2.621821641921997
60th percentile: 2.985771322250366
70th percentile: 3.349721002578735
80th percentile: 3.5713242530822753
90th percentile: 3.6505810737609865
95th percentile: 3.690209484100342
99th percentile: 3.721912212371826
mean time: 2.6603313446044923
Pipeline stage StressChecker completed in 14.53s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.17s
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cycy233-l3-bp-v6-c4_v1 status is now deployed due to DeploymentManager action
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Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service cycy233-l3-bp-v6-c4-v1-profiler
Waiting for inference service cycy233-l3-bp-v6-c4-v1-profiler to be ready
Inference service cycy233-l3-bp-v6-c4-v1-profiler ready after 140.31863641738892s
Pipeline stage MKMLProfilerDeployer completed in 140.68s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-bp-v6-c4-v1-profiler-predictor-00001-deployment65chs:/code/chaiverse_profiler_1725506665 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-bp-v6-c4-v1-profiler-predictor-00001-deployment65chs --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725506665 && python profiles.py profile --best_of_n 16 --auto_batch 5 --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_1725506665/summary.json'
kubectl exec -it cycy233-l3-bp-v6-c4-v1-profiler-predictor-00001-deployment65chs --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725506665/summary.json'
Pipeline stage MKMLProfilerRunner completed in 834.78s
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Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-l3-bp-v6-c4-v1-profiler is running
Tearing down inference service cycy233-l3-bp-v6-c4-v1-profiler
Service cycy233-l3-bp-v6-c4-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.80s
Shutdown handler de-registered
cycy233-l3-bp-v6-c4_v1 status is now inactive due to auto deactivation removed underperforming models

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