submission_id: cycy233-l3-p-v4-c2_v3
developer_uid: shiroe40
best_of: 8
celo_rating: 1241.29
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': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/L3-p-v4-c2
latencies: [{'batch_size': 1, 'throughput': 0.8734833649835473, 'latency_mean': 1.144774159193039, 'latency_p50': 1.1383663415908813, 'latency_p90': 1.2678894758224488}, {'batch_size': 4, 'throughput': 1.8546715629100232, 'latency_mean': 2.144614440202713, 'latency_p50': 2.1519609689712524, 'latency_p90': 2.4137515306472777}, {'batch_size': 5, 'throughput': 1.9987387557322005, 'latency_mean': 2.4839293432235716, 'latency_p50': 2.47461473941803, 'latency_p90': 2.814882755279541}, {'batch_size': 8, 'throughput': 2.22625961287042, 'latency_mean': 3.568619283437729, 'latency_p50': 3.589035749435425, 'latency_p90': 4.007189035415649}, {'batch_size': 10, 'throughput': 2.277125495959271, 'latency_mean': 4.356592643260956, 'latency_p50': 4.349764823913574, 'latency_p90': 4.918292832374573}, {'batch_size': 12, 'throughput': 2.3365675076133696, 'latency_mean': 5.088702703714371, 'latency_p50': 5.123193621635437, 'latency_p90': 5.684483218193054}, {'batch_size': 15, 'throughput': 2.3371321859679988, 'latency_mean': 6.3404380488395695, 'latency_p50': 6.33609926700592, 'latency_p90': 7.091358160972595}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v4-c2
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v4-c2
model_size: 8B
num_battles: 10585
num_wins: 5300
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.25
timestamp: 2024-09-13T09:42:25+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.5007085498346717
Resubmit model
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Starting job with name cycy233-l3-p-v4-c2-v3-mkmlizer
Waiting for job on cycy233-l3-p-v4-c2-v3-mkmlizer to finish
cycy233-l3-p-v4-c2-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ _____ __ __ ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ /___/ ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ Version: 0.10.1 ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ belonging to: ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ║ ║
cycy233-l3-p-v4-c2-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v4-c2-v3-mkmlizer: Downloaded to shared memory in 24.946s
cycy233-l3-p-v4-c2-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp59jscrot, device:0
cycy233-l3-p-v4-c2-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v4-c2-v3-mkmlizer: quantized model in 25.259s
cycy233-l3-p-v4-c2-v3-mkmlizer: Processed model cycy233/L3-p-v4-c2 in 50.206s
cycy233-l3-p-v4-c2-v3-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v4-c2-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v4-c2-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v3
cycy233-l3-p-v4-c2-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v3/config.json
cycy233-l3-p-v4-c2-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v3/special_tokens_map.json
cycy233-l3-p-v4-c2-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v3/tokenizer_config.json
cycy233-l3-p-v4-c2-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v3/tokenizer.json
cycy233-l3-p-v4-c2-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v3/flywheel_model.0.safetensors
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Job cycy233-l3-p-v4-c2-v3-mkmlizer completed after 73.32s with status: succeeded
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5th percentile: 1.6025192737579346
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v4-c2-v3-profiler-predictor-00001-deployment-s78qd:/code/chaiverse_profiler_1726221050 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v4-c2-v3-profiler-predictor-00001-deployment-s78qd --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726221050 && python profiles.py profile --best_of_n 8 --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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726221050/summary.json'
kubectl exec -it cycy233-l3-p-v4-c2-v3-profiler-predictor-00001-deployment-s78qd --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726221050/summary.json'
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Running pipeline stage MKMLModelDeleter
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Pipeline stage MKMLDeleter completed in 8.48s
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Shutdown handler not registered because Python interpreter is not running in the main thread
Shutdown handler not registered because Python interpreter is not running in the main thread
Shutdown handler de-registered
admin requested tearing down of cycy233-nemo-p-e-v0-c1_v1
cycy233-l3-p-v4-c1_v1 status is now torndown due to DeploymentManager action
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Pipeline stage MKMLModelDeleter completed in 8.62s
Running pipeline stage MKMLModelDeleter
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cycy233-l3-p-v4-c1_v2 status is now torndown due to DeploymentManager action
Shutdown handler not registered because Python interpreter is not running in the main thread
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Pipeline stage MKMLDeleter completed in 7.56s
admin requested tearing down of cycy233-nemo-p-e-v0-c2_v1
admin requested tearing down of chaiml-0917-bot-dominant_6324_v2
Connection pool is full, discarding connection: %s. Connection pool size: %s
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Pipeline stage MKMLModelDeleter completed in 8.87s
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