cycy233-l3-bp-v6-c1

developer_uid: shiroe40

submission_id: cycy233-l3-bp-v6-c1_v1

model_name: auto

model_group: cycy233/L3-bp-v6-c1

status: torndown

timestamp: 2024-09-05T03:16:42+00:00

num_battles: 10524

num_wins: 5417

celo_rating: 1252.62

family_friendly_score: 0.0

submission_type: basic

model_repo: cycy233/L3-bp-v6-c1

model_architecture: LlamaForCausalLM

model_num_parameters: 8030261248.0

best_of: 16

max_input_tokens: 512

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.9162490441781027, 'latency_mean': 1.0913385701179505, 'latency_p50': 1.0874139070510864, 'latency_p90': 1.2166605949401856}, {'batch_size': 4, 'throughput': 1.798443489657177, 'latency_mean': 2.2175483548641206, 'latency_p50': 2.2284070253372192, 'latency_p90': 2.4713415145874023}, {'batch_size': 5, 'throughput': 1.8806829478182834, 'latency_mean': 2.648478960990906, 'latency_p50': 2.657816767692566, 'latency_p90': 2.9645773649215696}, {'batch_size': 8, 'throughput': 1.9899603198219917, 'latency_mean': 3.996526118516922, 'latency_p50': 3.990572690963745, 'latency_p90': 4.458676958084106}, {'batch_size': 10, 'throughput': 2.019511885747554, 'latency_mean': 4.904088913202286, 'latency_p50': 4.836657404899597, 'latency_p90': 5.74667489528656}, {'batch_size': 12, 'throughput': 2.029659484527713, 'latency_mean': 5.831109447479248, 'latency_p50': 5.822002530097961, 'latency_p90': 6.579939675331116}, {'batch_size': 15, 'throughput': 2.0023997503779523, 'latency_mean': 7.3332629799842834, 'latency_p50': 7.437045931816101, 'latency_p90': 8.104848074913026}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: auto

is_internal_developer: False

language_model: cycy233/L3-bp-v6-c1

model_size: 8B

ranking_group: single

throughput_3p7s: 1.98

us_pacific_date: 2024-09-04

win_ratio: 0.5147282402128468

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}

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}

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-bp-v6-c1-v1-mkmlizer
Waiting for job on cycy233-l3-bp-v6-c1-v1-mkmlizer to finish
cycy233-l3-bp-v6-c1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-bp-v6-c1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bp-v6-c1-v1-mkmlizer: Downloaded to shared memory in 33.212s
cycy233-l3-bp-v6-c1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2g0aqk4r, device:0
cycy233-l3-bp-v6-c1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bp-v6-c1-v1-mkmlizer: quantized model in 25.868s
cycy233-l3-bp-v6-c1-v1-mkmlizer: Processed model cycy233/L3-bp-v6-c1 in 59.080s
cycy233-l3-bp-v6-c1-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bp-v6-c1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bp-v6-c1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bp-v6-c1-v1
cycy233-l3-bp-v6-c1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bp-v6-c1-v1/config.json
cycy233-l3-bp-v6-c1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-bp-v6-c1-v1/special_tokens_map.json
cycy233-l3-bp-v6-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bp-v6-c1-v1/tokenizer_config.json
cycy233-l3-bp-v6-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bp-v6-c1-v1/tokenizer.json
cycy233-l3-bp-v6-c1-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 4/291 [00:00<00:07, 36.20it/s]
Loading 0:   4%|▍         | 13/291 [00:00<00:04, 56.66it/s]
Loading 0:   8%|▊         | 22/291 [00:00<00:04, 65.18it/s]
Loading 0:  11%|█         | 31/291 [00:00<00:03, 70.27it/s]
Loading 0:  14%|█▎        | 40/291 [00:00<00:03, 70.88it/s]
Loading 0:  17%|█▋        | 49/291 [00:00<00:03, 72.34it/s]
Loading 0:  20%|█▉        | 58/291 [00:00<00:03, 72.53it/s]
Loading 0:  23%|██▎       | 67/291 [00:00<00:03, 74.11it/s]
Loading 0:  26%|██▌       | 76/291 [00:01<00:02, 74.01it/s]
Loading 0:  29%|██▉       | 84/291 [00:02<00:09, 21.07it/s]
Loading 0:  31%|███       | 90/291 [00:02<00:08, 24.23it/s]
Loading 0:  33%|███▎      | 97/291 [00:02<00:06, 28.64it/s]
Loading 0:  36%|███▋      | 106/291 [00:02<00:05, 36.20it/s]
Loading 0:  40%|███▉      | 115/291 [00:02<00:03, 44.92it/s]
Loading 0:  45%|████▍     | 130/291 [00:02<00:02, 60.50it/s]
Loading 0:  48%|████▊     | 139/291 [00:02<00:02, 62.50it/s]
Loading 0:  51%|█████     | 148/291 [00:02<00:02, 67.60it/s]
Loading 0:  55%|█████▍    | 160/291 [00:03<00:01, 73.78it/s]
Loading 0:  58%|█████▊    | 169/291 [00:03<00:01, 76.25it/s]
Loading 0:  61%|██████    | 178/291 [00:03<00:01, 73.17it/s]
Loading 0:  64%|██████▍   | 187/291 [00:04<00:04, 22.98it/s]
Loading 0:  67%|██████▋   | 196/291 [00:04<00:03, 28.78it/s]
Loading 0:  70%|███████   | 205/291 [00:04<00:02, 35.58it/s]
Loading 0:  74%|███████▎  | 214/291 [00:04<00:01, 42.31it/s]
Loading 0:  77%|███████▋  | 223/291 [00:04<00:01, 47.91it/s]
Loading 0:  80%|███████▉  | 232/291 [00:05<00:01, 54.89it/s]
Loading 0:  83%|████████▎ | 241/291 [00:05<00:00, 60.74it/s]
Loading 0:  86%|████████▌ | 250/291 [00:05<00:00, 63.08it/s]
Loading 0:  89%|████████▉ | 259/291 [00:05<00:00, 66.30it/s]
Loading 0:  92%|█████████▏| 268/291 [00:05<00:00, 71.10it/s]
Loading 0:  95%|█████████▌| 277/291 [00:05<00:00, 73.46it/s]
Loading 0:  98%|█████████▊| 286/291 [00:05<00:00, 73.50it/s]
                                                            
Job cycy233-l3-bp-v6-c1-v1-mkmlizer completed after 85.54s with status: succeeded
Stopping job with name cycy233-l3-bp-v6-c1-v1-mkmlizer
Pipeline stage MKMLizer completed in 87.03s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.07s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service cycy233-l3-bp-v6-c1-v1
Waiting for inference service cycy233-l3-bp-v6-c1-v1 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
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
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service cycy233-l3-bp-v6-c1-v1 ready after 140.35384249687195s
Pipeline stage MKMLDeployer completed in 140.72s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9900126457214355s
Received healthy response to inference request in 1.8058385848999023s
Received healthy response to inference request in 2.014943838119507s
Received healthy response to inference request in 1.7673840522766113s
Received healthy response to inference request in 1.7056078910827637s
5 requests
0 failed requests
5th percentile: 1.7179631233215331
10th percentile: 1.7303183555603028
20th percentile: 1.7550288200378419
30th percentile: 1.7750749588012695
40th percentile: 1.790456771850586
50th percentile: 1.8058385848999023
60th percentile: 1.8795082092285156
70th percentile: 1.9531778335571288
80th percentile: 1.9949988842010498
90th percentile: 2.0049713611602784
95th percentile: 2.0099575996398924
99th percentile: 2.013946590423584
mean time: 1.856757402420044
Pipeline stage StressChecker completed in 10.07s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 6.03s
Shutdown handler de-registered
cycy233-l3-bp-v6-c1_v1 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 0.11s
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 cycy233-l3-bp-v6-c1-v1-profiler
Waiting for inference service cycy233-l3-bp-v6-c1-v1-profiler to be ready
Inference service cycy233-l3-bp-v6-c1-v1-profiler ready after 130.30848145484924s
Pipeline stage MKMLProfilerDeployer completed in 130.68s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-bp-v6-c1-v1-profiler-predictor-00001-deploymentt8bmq:/code/chaiverse_profiler_1725506610 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-bp-v6-c1-v1-profiler-predictor-00001-deploymentt8bmq --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725506610 && 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_1725506610/summary.json'
kubectl exec -it cycy233-l3-bp-v6-c1-v1-profiler-predictor-00001-deploymentt8bmq --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725506610/summary.json'
Pipeline stage MKMLProfilerRunner completed in 839.21s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-l3-bp-v6-c1-v1-profiler is running
Tearing down inference service cycy233-l3-bp-v6-c1-v1-profiler
Service cycy233-l3-bp-v6-c1-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.58s
Shutdown handler de-registered
cycy233-l3-bp-v6-c1_v1 status is now inactive due to auto deactivation removed underperforming models
cycy233-l3-bp-v6-c1_v1 status is now torndown due to DeploymentManager action