cycy233-model0

developer_uid: cycy233

submission_id: cycy233-model0_v3

model_name: 111

model_group: cycy233/model0

status: torndown

timestamp: 2025-04-23T08:27:56+00:00

num_battles: 7264

num_wins: 3265

celo_rating: 1253.45

family_friendly_score: 0.5356000000000001

family_friendly_standard_error: 0.007053121861984238

submission_type: basic

model_repo: cycy233/model0

model_architecture: LlamaForCausalLM

model_num_parameters: 8030261248.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.849465899255575, 'latency_mean': 1.1771505177021027, 'latency_p50': 1.1882413625717163, 'latency_p90': 1.295666766166687}, {'batch_size': 4, 'throughput': 1.807135437071562, 'latency_mean': 2.2056426966190337, 'latency_p50': 2.2054495811462402, 'latency_p90': 2.476182556152344}, {'batch_size': 5, 'throughput': 1.9439917926851784, 'latency_mean': 2.5617258131504057, 'latency_p50': 2.560891628265381, 'latency_p90': 2.8589258432388305}, {'batch_size': 8, 'throughput': 2.1460456586882874, 'latency_mean': 3.7112551248073578, 'latency_p50': 3.7089684009552, 'latency_p90': 4.136569762229919}, {'batch_size': 10, 'throughput': 2.206533616984749, 'latency_mean': 4.496115627288819, 'latency_p50': 4.476937174797058, 'latency_p90': 5.058605432510376}, {'batch_size': 12, 'throughput': 2.2249005499365624, 'latency_mean': 5.336239773035049, 'latency_p50': 5.403445601463318, 'latency_p90': 6.061977910995483}, {'batch_size': 15, 'throughput': 2.256737958150445, 'latency_mean': 6.552363131046295, 'latency_p50': 6.543070077896118, 'latency_p90': 7.291068840026855}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 111

is_internal_developer: False

language_model: cycy233/model0

model_size: 8B

ranking_group: single

throughput_3p7s: 2.15

us_pacific_date: 2025-04-23

win_ratio: 0.449476872246696

generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 8, '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-model0-v3-mkmlizer
Waiting for job on cycy233-model0-v3-mkmlizer to finish
cycy233-model0-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-model0-v3-mkmlizer: ║     _____            __           __                                ║
cycy233-model0-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-model0-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-model0-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-model0-v3-mkmlizer: ║       /___/                                                         ║
cycy233-model0-v3-mkmlizer: ║                                                                     ║
cycy233-model0-v3-mkmlizer: ║  Version: 0.12.8                                                    ║
cycy233-model0-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-model0-v3-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-model0-v3-mkmlizer: ║                                                                     ║
cycy233-model0-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-model0-v3-mkmlizer: ║  belonging to:                                                      ║
cycy233-model0-v3-mkmlizer: ║                                                                     ║
cycy233-model0-v3-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-model0-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-model0-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
cycy233-model0-v3-mkmlizer: ║                                                                     ║
cycy233-model0-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-model0-v3-mkmlizer: Downloaded to shared memory in 36.268s
cycy233-model0-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfvuektbj, device:0
cycy233-model0-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-model0-v3-mkmlizer: quantized model in 26.986s
cycy233-model0-v3-mkmlizer: Processed model cycy233/model0 in 63.254s
cycy233-model0-v3-mkmlizer: creating bucket guanaco-mkml-models
cycy233-model0-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-model0-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-model0-v3
cycy233-model0-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-model0-v3/config.json
cycy233-model0-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-model0-v3/special_tokens_map.json
cycy233-model0-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-model0-v3/tokenizer_config.json
cycy233-model0-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-model0-v3/tokenizer.json
cycy233-model0-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-model0-v3/flywheel_model.0.safetensors
cycy233-model0-v3-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/291 [00:04<11:42,  2.43s/it]
Loading 0:   2%|▏         | 6/291 [00:05<03:07,  1.52it/s]
Loading 0:   4%|▍         | 13/291 [00:05<01:06,  4.16it/s]
Loading 0:   6%|▌         | 18/291 [00:05<00:41,  6.55it/s]
Loading 0:   8%|▊         | 23/291 [00:05<00:28,  9.56it/s]
Loading 0:  10%|▉         | 29/291 [00:05<00:19, 13.45it/s]
Loading 0:  12%|█▏        | 34/291 [00:05<00:14, 17.27it/s]
Loading 0:  14%|█▍        | 41/291 [00:05<00:10, 24.12it/s]
Loading 0:  16%|█▌        | 47/291 [00:05<00:08, 27.65it/s]
Loading 0:  18%|█▊        | 52/291 [00:05<00:07, 31.03it/s]
Loading 0:  20%|██        | 59/291 [00:06<00:06, 38.07it/s]
Loading 0:  22%|██▏       | 65/291 [00:06<00:08, 27.87it/s]
Loading 0:  24%|██▍       | 70/291 [00:06<00:07, 30.83it/s]
Loading 0:  26%|██▌       | 76/291 [00:06<00:05, 36.17it/s]
Loading 0:  28%|██▊       | 81/291 [00:06<00:05, 36.76it/s]
Loading 0:  30%|██▉       | 86/291 [00:06<00:05, 39.56it/s]
Loading 0:  32%|███▏      | 92/291 [00:07<00:05, 39.15it/s]
Loading 0:  33%|███▎      | 97/291 [00:07<00:04, 40.22it/s]
Loading 0:  36%|███▌      | 104/291 [00:07<00:04, 46.39it/s]
Loading 0:  38%|███▊      | 110/291 [00:07<00:04, 44.34it/s]
Loading 0:  40%|███▉      | 115/291 [00:07<00:03, 44.54it/s]
Loading 0:  42%|████▏     | 122/291 [00:07<00:03, 48.96it/s]
Loading 0:  44%|████▍     | 128/291 [00:07<00:03, 45.06it/s]
Loading 0:  46%|████▌     | 133/291 [00:07<00:03, 44.00it/s]
Loading 0:  48%|████▊     | 139/291 [00:07<00:03, 47.44it/s]
Loading 0:  49%|████▉     | 144/291 [00:08<00:03, 46.48it/s]
Loading 0:  51%|█████     | 149/291 [00:08<00:03, 47.15it/s]
Loading 0:  53%|█████▎    | 155/291 [00:08<00:03, 44.03it/s]
Loading 0:  55%|█████▍    | 160/291 [00:08<00:02, 43.87it/s]
Loading 0:  57%|█████▋    | 166/291 [00:08<00:03, 33.01it/s]
Loading 0:  58%|█████▊    | 170/291 [00:08<00:03, 33.53it/s]
Loading 0:  60%|██████    | 175/291 [00:08<00:03, 36.26it/s]
Loading 0:  62%|██████▏   | 179/291 [00:09<00:03, 36.01it/s]
Loading 0:  63%|██████▎   | 184/291 [00:09<00:02, 38.08it/s]
Loading 0:  65%|██████▍   | 188/291 [00:09<00:02, 38.15it/s]
Loading 0:  67%|██████▋   | 194/291 [00:09<00:02, 42.01it/s]
Loading 0:  69%|██████▊   | 200/291 [00:09<00:02, 40.11it/s]
Loading 0:  70%|███████   | 205/291 [00:09<00:02, 40.77it/s]
Loading 0:  73%|███████▎  | 212/291 [00:09<00:01, 46.20it/s]
Loading 0:  75%|███████▍  | 217/291 [00:09<00:01, 47.07it/s]
Loading 0:  76%|███████▋  | 222/291 [00:10<00:01, 39.41it/s]
Loading 0:  79%|███████▉  | 230/291 [00:10<00:01, 47.41it/s]
Loading 0:  81%|████████  | 236/291 [00:10<00:01, 43.17it/s]
Loading 0:  83%|████████▎ | 241/291 [00:10<00:01, 42.40it/s]
Loading 0:  85%|████████▌ | 248/291 [00:10<00:00, 47.35it/s]
Loading 0:  87%|████████▋ | 254/291 [00:10<00:00, 43.68it/s]
Loading 0:  89%|████████▉ | 259/291 [00:10<00:00, 41.91it/s]
Loading 0:  91%|█████████▏| 266/291 [00:11<00:00, 33.41it/s]
Loading 0:  93%|█████████▎| 272/291 [00:11<00:00, 34.96it/s]
Loading 0:  95%|█████████▍| 276/291 [00:11<00:00, 35.13it/s]
Loading 0:  97%|█████████▋| 283/291 [00:11<00:00, 42.42it/s]
Loading 0:  99%|█████████▉| 288/291 [00:11<00:00, 42.49it/s]
                                                            
Job cycy233-model0-v3-mkmlizer completed after 84.06s with status: succeeded
Stopping job with name cycy233-model0-v3-mkmlizer
Pipeline stage MKMLizer completed in 84.59s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service cycy233-model0-v3
Waiting for inference service cycy233-model0-v3 to be ready
Inference service cycy233-model0-v3 ready after 130.53578972816467s
Pipeline stage MKMLDeployer completed in 131.13s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8693737983703613s
Received healthy response to inference request in 1.263453722000122s
Received healthy response to inference request in 1.274986982345581s
Received healthy response to inference request in 1.3320422172546387s
Received healthy response to inference request in 1.423764944076538s
5 requests
0 failed requests
5th percentile: 1.2657603740692138
10th percentile: 1.2680670261383056
20th percentile: 1.2726803302764893
30th percentile: 1.2863980293273927
40th percentile: 1.3092201232910157
50th percentile: 1.3320422172546387
60th percentile: 1.3687313079833985
70th percentile: 1.4054203987121583
80th percentile: 1.512886714935303
90th percentile: 1.6911302566528321
95th percentile: 1.7802520275115965
99th percentile: 1.8515494441986085
mean time: 1.4327243328094483
Pipeline stage StressChecker completed in 8.83s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.77s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.85s
Shutdown handler de-registered
cycy233-model0_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4094.21s
Shutdown handler de-registered
cycy233-model0_v3 status is now inactive due to auto deactivation removed underperforming models
cycy233-model0_v3 status is now torndown due to DeploymentManager action