submission_id: cycy233-l3-p-v2-c2_v1
developer_uid: shiroe40
best_of: 16
celo_rating: 1246.93
display_name: auto
family_friendly_score: 0.0
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-p-v2-c2
latencies: [{'batch_size': 1, 'throughput': 0.9144263858383497, 'latency_mean': 1.0934885406494141, 'latency_p50': 1.0789849758148193, 'latency_p90': 1.228066611289978}, {'batch_size': 4, 'throughput': 1.8143600188331108, 'latency_mean': 2.199453605413437, 'latency_p50': 2.1866092681884766, 'latency_p90': 2.4710525274276733}, {'batch_size': 5, 'throughput': 1.8864044043531756, 'latency_mean': 2.6435090386867524, 'latency_p50': 2.6495699882507324, 'latency_p90': 2.932551956176758}, {'batch_size': 8, 'throughput': 1.9980992517210474, 'latency_mean': 3.973411853313446, 'latency_p50': 3.9587947130203247, 'latency_p90': 4.469381332397461}, {'batch_size': 10, 'throughput': 2.021754721392651, 'latency_mean': 4.899687888622284, 'latency_p50': 4.8817020654678345, 'latency_p90': 5.631745100021362}, {'batch_size': 12, 'throughput': 2.018412584668954, 'latency_mean': 5.868164737224578, 'latency_p50': 5.807479619979858, 'latency_p90': 6.730306911468506}, {'batch_size': 15, 'throughput': 2.0185485244672448, 'latency_mean': 7.283468351364136, 'latency_p50': 7.316380500793457, 'latency_p90': 8.177747249603271}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v2-c2
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v2-c2
model_size: 8B
num_battles: 12345
num_wins: 6239
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.0
timestamp: 2024-09-10T02:50:33+00:00
us_pacific_date: 2024-09-09
win_ratio: 0.505386796273795
Download Preference Data
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-p-v2-c2-v1-mkmlizer
Waiting for job on cycy233-l3-p-v2-c2-v1-mkmlizer to finish
cycy233-l3-p-v2-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ _____ __ __ ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ /___/ ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ Version: 0.10.1 ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ belonging to: ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ║ ║
cycy233-l3-p-v2-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v2-c1-v1-mkmlizer: Downloaded to shared memory in 33.956s
cycy233-l3-p-v2-c1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfzydeu5y, device:0
cycy233-l3-p-v2-c1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
cycy233-l3-p-v2-c2-v1-mkmlizer: Downloaded to shared memory in 34.121s
cycy233-l3-p-v2-c2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqdn__z99, device:0
cycy233-l3-p-v2-c2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v2-c1-v1-mkmlizer: quantized model in 25.858s
cycy233-l3-p-v2-c1-v1-mkmlizer: Processed model cycy233/L3-p-v2-c1 in 59.814s
cycy233-l3-p-v2-c1-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v2-c1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v2-c1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v2-c1-v1
cycy233-l3-p-v2-c1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v2-c1-v1/config.json
cycy233-l3-p-v2-c1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v2-c1-v1/special_tokens_map.json
cycy233-l3-p-v2-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v2-c1-v1/tokenizer_config.json
cycy233-l3-p-v2-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v2-c1-v1/tokenizer.json
cycy233-l3-p-v2-c1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v2-c1-v1/flywheel_model.0.safetensors
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Job cycy233-l3-p-v2-c1-v1-mkmlizer completed after 84.84s with status: succeeded
Stopping job with name cycy233-l3-p-v2-c1-v1-mkmlizer
Pipeline stage MKMLizer completed in 86.52s
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Creating inference service cycy233-l3-p-v2-c1-v1
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cycy233-l3-p-v2-c2-v1-mkmlizer: quantized model in 26.235s
cycy233-l3-p-v2-c2-v1-mkmlizer: Processed model cycy233/L3-p-v2-c2 in 60.356s
cycy233-l3-p-v2-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v2-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v2-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v2-c2-v1
cycy233-l3-p-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v2-c2-v1/config.json
cycy233-l3-p-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v2-c2-v1/special_tokens_map.json
cycy233-l3-p-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v2-c2-v1/tokenizer_config.json
cycy233-l3-p-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v2-c2-v1/tokenizer.json
cycy233-l3-p-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v2-c2-v1/flywheel_model.0.safetensors
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Job cycy233-l3-p-v2-c2-v1-mkmlizer completed after 86.47s with status: succeeded
Stopping job with name cycy233-l3-p-v2-c2-v1-mkmlizer
Pipeline stage MKMLizer completed in 86.91s
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Pipeline stage MKMLTemplater completed in 0.20s
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Creating inference service cycy233-l3-p-v2-c2-v1
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Inference service cycy233-l3-p-v2-c1-v1 ready after 141.01398301124573s
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Received healthy response to inference request in 2.469740867614746s
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Received healthy response to inference request in 1.4797906875610352s
Received healthy response to inference request in 1.4168586730957031s
Received healthy response to inference request in 2.2975921630859375s
5 requests
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5th percentile: 1.4294450759887696
10th percentile: 1.442031478881836
20th percentile: 1.4672042846679687
30th percentile: 1.6414455890655517
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50th percentile: 2.288065195083618
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70th percentile: 2.2956867694854735
80th percentile: 2.3320219039916994
90th percentile: 2.4008813858032227
95th percentile: 2.435311126708984
99th percentile: 2.462854919433594
mean time: 1.990409517288208
Pipeline stage StressChecker completed in 13.04s
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Inference service cycy233-l3-p-v2-c2-v1 ready after 150.8548183441162s
Pipeline stage MKMLDeployer completed in 151.42s
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Received healthy response to inference request in 2.1303961277008057s
Received healthy response to inference request in 1.6865968704223633s
Received healthy response to inference request in 1.6211700439453125s
Received healthy response to inference request in 1.7492284774780273s
Received healthy response to inference request in 2.069676637649536s
5 requests
0 failed requests
5th percentile: 1.6342554092407227
10th percentile: 1.6473407745361328
20th percentile: 1.6735115051269531
30th percentile: 1.6991231918334961
40th percentile: 1.7241758346557616
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70th percentile: 2.0055870056152343
80th percentile: 2.08182053565979
90th percentile: 2.1061083316802978
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mean time: 1.851413631439209
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Inference service cycy233-l3-p-v2-c2-v1-profiler ready after 160.37623476982117s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v2-c2-v1-profiler-predictor-00001-deployment-hl5jk:/code/chaiverse_profiler_1725937093 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v2-c2-v1-profiler-predictor-00001-deployment-hl5jk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725937093 && 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_1725937093/summary.json'
kubectl exec -it cycy233-l3-p-v2-c2-v1-profiler-predictor-00001-deployment-hl5jk --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725937093/summary.json'
Pipeline stage MKMLProfilerRunner completed in 838.62s
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cycy233-l3-p-v1-c1_v1 status is now torndown due to DeploymentManager action
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Pipeline stage MKMLModelDeleter completed in 5.53s
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cycy233-l3-p-v1-c2_v1 status is now torndown due to DeploymentManager action
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admin requested tearing down of cycy233-l3-p-v3-c1_v1
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Pipeline stage MKMLModelDeleter completed in 5.65s
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Pipeline stage MKMLModelDeleter completed in 5.07s
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Pipeline stage MKMLModelDeleter completed in 5.77s
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Pipeline stage MKMLDeleter completed in 6.56s
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Pipeline stage MKMLModelDeleter completed in 5.21s
Shutdown handler not registered because Python interpreter is not running in the main thread