junhua024-chai-06-full-_16215

developer_uid: junhua024

submission_id: junhua024-chai-06-full-_16215_v6

model_name: junhua024-chai-06-full-_16215_v6

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-17T10:24:02+00:00

num_battles: 7107

num_wins: 3612

celo_rating: 1281.2

family_friendly_score: 0.5578000000000001

family_friendly_standard_error: 0.007023662292565041

submission_type: basic

model_repo: junhua024/chai_06_full_02102_2028

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': 0.592397254499881, 'latency_mean': 1.687890156507492, 'latency_p50': 1.679313063621521, 'latency_p90': 1.858361792564392}, {'batch_size': 3, 'throughput': 1.0625510782063574, 'latency_mean': 2.80913477063179, 'latency_p50': 2.8128933906555176, 'latency_p90': 3.098434329032898}, {'batch_size': 5, 'throughput': 1.2579182693733928, 'latency_mean': 3.9550388717651366, 'latency_p50': 3.9565343856811523, 'latency_p90': 4.372392988204956}, {'batch_size': 6, 'throughput': 1.3341994758611122, 'latency_mean': 4.478451819419861, 'latency_p50': 4.43154501914978, 'latency_p90': 5.07855761051178}, {'batch_size': 8, 'throughput': 1.3800453149487812, 'latency_mean': 5.748769320249558, 'latency_p50': 5.766596794128418, 'latency_p90': 6.429284524917603}, {'batch_size': 10, 'throughput': 1.4199874820620657, 'latency_mean': 6.9754837548732755, 'latency_p50': 6.996715068817139, 'latency_p90': 7.952605891227722}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full-_16215_v6

is_internal_developer: False

language_model: junhua024/chai_06_full_02102_2028

model_size: 13B

ranking_group: single

throughput_3p7s: 1.23

us_pacific_date: 2025-07-17

win_ratio: 0.5082313212325876

generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], '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 junhua024-chai-06-full-16215-v6-mkmlizer
Waiting for job on junhua024-chai-06-full-16215-v6-mkmlizer to finish
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junhua024-chai-06-full-16215-v6-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-16215-v6-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-16215-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-16215-v6-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-16215-v6-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-16215-v6-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-16215-v6-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-16215-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-16215-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-16215-v6-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-16215-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-16215-v6-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-16215-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-16215-v6-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-16215-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-16215-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-16215-v6-mkmlizer: Downloaded to shared memory in 78.820s
junhua024-chai-06-full-16215-v6-mkmlizer: Checking if junhua024/chai_06_full_02102_2028 already exists in ChaiML
junhua024-chai-06-full-16215-v6-mkmlizer: quantized model in 33.989s
junhua024-chai-06-full-16215-v6-mkmlizer: Processed model junhua024/chai_06_full_02102_2028 in 112.894s
junhua024-chai-06-full-16215-v6-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-16215-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-16215-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-16215-v6/nvidia
junhua024-chai-06-full-16215-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-16215-v6/nvidia/config.json
junhua024-chai-06-full-16215-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-16215-v6/nvidia/special_tokens_map.json
junhua024-chai-06-full-16215-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-16215-v6/nvidia/tokenizer_config.json
junhua024-chai-06-full-16215-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-16215-v6/nvidia/tokenizer.json
junhua024-chai-06-full-16215-v6-mkmlizer: 
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Job junhua024-chai-06-full-16215-v6-mkmlizer completed after 140.01s with status: succeeded
Stopping job with name junhua024-chai-06-full-16215-v6-mkmlizer
Pipeline stage MKMLizer completed in 140.70s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-16215-v6
Waiting for inference service junhua024-chai-06-full-16215-v6 to be ready
Inference service junhua024-chai-06-full-16215-v6 ready after 291.59379410743713s
Pipeline stage MKMLDeployer completed in 292.48s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4525046348571777s
Received healthy response to inference request in 1.8446338176727295s
Received healthy response to inference request in 1.767057180404663s
Received healthy response to inference request in 1.8045945167541504s
Received healthy response to inference request in 1.7161870002746582s
5 requests
0 failed requests
5th percentile: 1.7263610363006592
10th percentile: 1.7365350723266602
20th percentile: 1.756883144378662
30th percentile: 1.7745646476745605
40th percentile: 1.7895795822143554
50th percentile: 1.8045945167541504
60th percentile: 1.820610237121582
70th percentile: 1.8366259574890136
80th percentile: 1.9662079811096191
90th percentile: 2.2093563079833984
95th percentile: 2.330930471420288
99th percentile: 2.4281898021697996
mean time: 1.9169954299926757
Pipeline stage StressChecker completed in 11.68s
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 1.34s
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 1.35s
Shutdown handler de-registered
junhua024-chai-06-full-_16215_v6 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-16215-v6-profiler
Waiting for inference service junhua024-chai-06-full-16215-v6-profiler to be ready
Shutdown handler registered
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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 5889.34s
Shutdown handler de-registered
junhua024-chai-06-full-_16215_v6 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_16215_v6 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_16215_v6 status is now torndown due to DeploymentManager action