sao10k-hanami-7x

submission_id: sao10k-hanami-7x_v2
developer_uid: sao10k
best_of: 4
celo_rating: 1240.25
display_name: Hanami-70
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': 1.2, 'top_p': 1.0, 'min_p': 0.15, 'top_k': 50, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n\n', '<|eot_id|>', '\nYou:', '<|end_header_id|>'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
is_internal_developer: False
language_model: Sao10K/Hanami-7X
latencies: [{'batch_size': 1, 'throughput': 0.25130270954193606, 'latency_mean': 3.9791990876197816, 'latency_p50': 4.034482002258301, 'latency_p90': 4.409384059906006}, {'batch_size': 2, 'throughput': 0.4311094463310951, 'latency_mean': 4.632526355981827, 'latency_p50': 4.6004451513290405, 'latency_p90': 5.153655791282654}, {'batch_size': 3, 'throughput': 0.5838212371114839, 'latency_mean': 5.110229352712631, 'latency_p50': 5.101160645484924, 'latency_p90': 5.657018423080444}, {'batch_size': 5, 'throughput': 0.816449924769174, 'latency_mean': 6.080557414293289, 'latency_p50': 6.061228513717651, 'latency_p90': 6.773228693008423}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Sao10K/Hanami-7X
model_name: Hanami-70
model_num_parameters: 70553706496.0
model_repo: Sao10K/Hanami-7X
model_size: 71B
num_battles: 13812
num_wins: 6878
ranking_group: single
status: torndown
submission_type: basic
timestamp: 2024-09-08T09:45:09+00:00
us_pacific_date: 2024-09-08
win_ratio: 0.4979727772951057
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 sao10k-hanami-7x-v2-mkmlizer
Waiting for job on sao10k-hanami-7x-v2-mkmlizer to finish
Connection pool is full, discarding connection: %s. Connection pool size: %s
sao10k-hanami-7x-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-hanami-7x-v2-mkmlizer: ║     _____            __           __                                ║
sao10k-hanami-7x-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
sao10k-hanami-7x-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
sao10k-hanami-7x-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
sao10k-hanami-7x-v2-mkmlizer: ║       /___/                                                         ║
sao10k-hanami-7x-v2-mkmlizer: ║                                                                     ║
sao10k-hanami-7x-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
sao10k-hanami-7x-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
sao10k-hanami-7x-v2-mkmlizer: ║  https://mk1.ai                                                     ║
sao10k-hanami-7x-v2-mkmlizer: ║                                                                     ║
sao10k-hanami-7x-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
sao10k-hanami-7x-v2-mkmlizer: ║  belonging to:                                                      ║
sao10k-hanami-7x-v2-mkmlizer: ║                                                                     ║
sao10k-hanami-7x-v2-mkmlizer: ║  Chai Research Corp.                                                ║
sao10k-hanami-7x-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
sao10k-hanami-7x-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
sao10k-hanami-7x-v2-mkmlizer: ║                                                                     ║
sao10k-hanami-7x-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-hanami-7x-v2-mkmlizer: Downloaded to shared memory in 128.715s
sao10k-hanami-7x-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6gpeyoyq, device:0
sao10k-hanami-7x-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
sao10k-hanami-7x-v2-mkmlizer: quantized model in 135.379s
sao10k-hanami-7x-v2-mkmlizer: Processed model Sao10K/Hanami-7X in 264.093s
sao10k-hanami-7x-v2-mkmlizer: creating bucket guanaco-mkml-models
sao10k-hanami-7x-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-hanami-7x-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-hanami-7x-v2
sao10k-hanami-7x-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-hanami-7x-v2/config.json
sao10k-hanami-7x-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-hanami-7x-v2/special_tokens_map.json
sao10k-hanami-7x-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-hanami-7x-v2/tokenizer_config.json
sao10k-hanami-7x-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-hanami-7x-v2/tokenizer.json
sao10k-hanami-7x-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/sao10k-hanami-7x-v2/flywheel_model.5.safetensors
sao10k-hanami-7x-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/sao10k-hanami-7x-v2/flywheel_model.2.safetensors
sao10k-hanami-7x-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/sao10k-hanami-7x-v2/flywheel_model.4.safetensors
sao10k-hanami-7x-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-hanami-7x-v2/flywheel_model.0.safetensors
sao10k-hanami-7x-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/sao10k-hanami-7x-v2/flywheel_model.1.safetensors
sao10k-hanami-7x-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/sao10k-hanami-7x-v2/flywheel_model.3.safetensors
sao10k-hanami-7x-v2-mkmlizer: 
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Job sao10k-hanami-7x-v2-mkmlizer completed after 365.27s with status: succeeded
Stopping job with name sao10k-hanami-7x-v2-mkmlizer
Pipeline stage MKMLizer completed in 366.30s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service sao10k-hanami-7x-v2
Waiting for inference service sao10k-hanami-7x-v2 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service sao10k-hanami-7x-v2 ready after 141.15415453910828s
Pipeline stage MKMLDeployer completed in 141.69s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 5.0488903522491455s
Received healthy response to inference request in 3.5120439529418945s
Received healthy response to inference request in 4.345564365386963s
Received healthy response to inference request in 4.139177322387695s
Received healthy response to inference request in 4.951716184616089s
5 requests
0 failed requests
5th percentile: 3.6374706268310546
10th percentile: 3.7628973007202147
20th percentile: 4.013750648498535
30th percentile: 4.180454730987549
40th percentile: 4.263009548187256
50th percentile: 4.345564365386963
60th percentile: 4.588025093078613
70th percentile: 4.830485820770264
80th percentile: 4.9711510181427006
90th percentile: 5.010020685195923
95th percentile: 5.029455518722534
99th percentile: 5.045003385543823
mean time: 4.399478435516357
Pipeline stage StressChecker completed in 23.13s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Pipeline stage TriggerMKMLProfilingPipeline completed in 3.92s
Shutdown handler de-registered
sao10k-hanami-7x_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service sao10k-hanami-7x-v2-profiler
Waiting for inference service sao10k-hanami-7x-v2-profiler to be ready
Inference service sao10k-hanami-7x-v2-profiler ready after 140.39747142791748s
Pipeline stage MKMLProfilerDeployer completed in 141.24s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/sao10k-hanami-7x-v2-profiler-predictor-00001-deployment-68dmzc5:/code/chaiverse_profiler_1725789447 --namespace tenant-chaiml-guanaco
kubectl exec -it sao10k-hanami-7x-v2-profiler-predictor-00001-deployment-68dmzc5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725789447 && python profiles.py profile --best_of_n 4 --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_1725789447/summary.json'
kubectl exec -it sao10k-hanami-7x-v2-profiler-predictor-00001-deployment-68dmzc5 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725789447/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1858.47s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service sao10k-hanami-7x-v2-profiler is running
Tearing down inference service sao10k-hanami-7x-v2-profiler
Service sao10k-hanami-7x-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.73s
Shutdown handler de-registered
sao10k-hanami-7x_v2 status is now inactive due to auto deactivation removed underperforming models
sao10k-hanami-7x_v2 status is now torndown due to DeploymentManager action