albertwang8192-2025-07-08-6

developer_uid: RandomForest1024

submission_id: albertwang8192-2025-07-08-6_v1

model_name: 2025-07-08_6

model_group: AlbertWang8192/2025-07-0

status: torndown

timestamp: 2025-07-08T20:04:17+00:00

num_battles: 9449

num_wins: 4241

celo_rating: 1252.35

family_friendly_score: 0.5486

family_friendly_standard_error: 0.007037585381364833

submission_type: basic

model_repo: AlbertWang8192/2025-07-08_6

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.5773824269227463, 'latency_mean': 1.7318338990211486, 'latency_p50': 1.7416499853134155, 'latency_p90': 1.9000395774841308}, {'batch_size': 3, 'throughput': 1.0371299153368931, 'latency_mean': 2.884586850404739, 'latency_p50': 2.9024308919906616, 'latency_p90': 3.1956102371215818}, {'batch_size': 5, 'throughput': 1.2317848896536927, 'latency_mean': 4.032731448411941, 'latency_p50': 4.022181391716003, 'latency_p90': 4.571234154701233}, {'batch_size': 6, 'throughput': 1.291722120036823, 'latency_mean': 4.624938786029816, 'latency_p50': 4.646460294723511, 'latency_p90': 5.182902145385742}, {'batch_size': 8, 'throughput': 1.3476858326352867, 'latency_mean': 5.905453071594239, 'latency_p50': 5.909877896308899, 'latency_p90': 6.610062026977539}, {'batch_size': 10, 'throughput': 1.376315965118878, 'latency_mean': 7.22284072637558, 'latency_p50': 7.225113391876221, 'latency_p90': 7.992732095718384}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 2025-07-08_6

is_internal_developer: False

language_model: AlbertWang8192/2025-07-08_6

model_size: 13B

ranking_group: single

throughput_3p7s: 1.19

us_pacific_date: 2025-07-08

win_ratio: 0.44883056408085514

generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_start|>', '\n', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{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 albertwang8192-2025-07-08-6-v1-mkmlizer
Waiting for job on albertwang8192-2025-07-08-6-v1-mkmlizer to finish
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albertwang8192-2025-07-08-6-v1-mkmlizer: ║                                                                     ║
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albertwang8192-2025-07-08-6-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-6-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-08-6-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-08-6-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-08-6-v1-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-08-6-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-6-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-08-6-v1-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-08-6-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-6-v1-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-08-6-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-08-6-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-08-6-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-6-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-08-6-v1-mkmlizer: Downloaded to shared memory in 48.971s
albertwang8192-2025-07-08-6-v1-mkmlizer: Checking if AlbertWang8192/2025-07-08_6 already exists in ChaiML
albertwang8192-2025-07-08-6-v1-mkmlizer: Creating repo ChaiML/2025-07-08_6 and uploading /tmp/tmp2dbrx2l6 to it
albertwang8192-2025-07-08-6-v1-mkmlizer: 
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albertwang8192-2025-07-08-6-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2dbrx2l6, device:0
albertwang8192-2025-07-08-6-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-08-6-v1-mkmlizer: quantized model in 30.799s
albertwang8192-2025-07-08-6-v1-mkmlizer: Processed model AlbertWang8192/2025-07-08_6 in 135.244s
albertwang8192-2025-07-08-6-v1-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-08-6-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-08-6-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-08-6-v1/nvidia
albertwang8192-2025-07-08-6-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-6-v1/nvidia/config.json
albertwang8192-2025-07-08-6-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-6-v1/nvidia/special_tokens_map.json
albertwang8192-2025-07-08-6-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-6-v1/nvidia/tokenizer_config.json
albertwang8192-2025-07-08-6-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-6-v1/nvidia/tokenizer.json
albertwang8192-2025-07-08-6-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-08-6-v1/nvidia/flywheel_model.0.safetensors
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Job albertwang8192-2025-07-08-6-v1-mkmlizer completed after 156.9s with status: succeeded
Stopping job with name albertwang8192-2025-07-08-6-v1-mkmlizer
Pipeline stage MKMLizer completed in 157.45s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service albertwang8192-2025-07-08-6-v1
Waiting for inference service albertwang8192-2025-07-08-6-v1 to be ready
Inference service albertwang8192-2025-07-08-6-v1 ready after 190.679523229599s
Pipeline stage MKMLDeployer completed in 191.28s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.7177913188934326s
Received healthy response to inference request in 1.513479471206665s
Received healthy response to inference request in 1.578575611114502s
Received healthy response to inference request in 1.793588399887085s
Received healthy response to inference request in 1.4708821773529053s
5 requests
0 failed requests
5th percentile: 1.4794016361236573
10th percentile: 1.4879210948944093
20th percentile: 1.504960012435913
30th percentile: 1.5264986991882323
40th percentile: 1.5525371551513671
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mean time: 1.814863395690918
Pipeline stage StressChecker completed in 10.95s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5526.66s
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albertwang8192-2025-07-08-6_v1 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-08-6_v1 status is now torndown due to DeploymentManager action