junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v28
model_name: junhua024-chai-1-full-066126_v28
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-14T11:55:05+00:00
num_battles: 6828
num_wins: 3420
celo_rating: 1273.78
family_friendly_score: 0.556
family_friendly_standard_error: 0.007026578114559035
submission_type: basic
model_repo: junhua024/chai-1-full-066126
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': 0.594765977323824, 'latency_mean': 1.6812135779857635, 'latency_p50': 1.6732971668243408, 'latency_p90': 1.8514776945114135}, {'batch_size': 3, 'throughput': 1.0663754294745211, 'latency_mean': 2.806647126674652, 'latency_p50': 2.8012938499450684, 'latency_p90': 3.0814303159713745}, {'batch_size': 5, 'throughput': 1.2742418059620528, 'latency_mean': 3.894032206535339, 'latency_p50': 3.9042972326278687, 'latency_p90': 4.389823079109192}, {'batch_size': 6, 'throughput': 1.3428180512889862, 'latency_mean': 4.435452144145966, 'latency_p50': 4.4292261600494385, 'latency_p90': 5.023390984535217}, {'batch_size': 8, 'throughput': 1.3950887763046331, 'latency_mean': 5.702758816480636, 'latency_p50': 5.661715507507324, 'latency_p90': 6.463742733001709}, {'batch_size': 10, 'throughput': 1.4313306427382364, 'latency_mean': 6.943988724946975, 'latency_p50': 6.954748630523682, 'latency_p90': 7.934096121788024}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v28
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-14
win_ratio: 0.5008787346221442
generation_params: {'temperature': 1.0, 'top_p': 0.98, '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-1-full-066126-v28-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v28-mkmlizer to finish
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junhua024-chai-1-full-066126-v28-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v28-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v28-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v28-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v28-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v28-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v28-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v28-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v28-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v28-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v28-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v28-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v28-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v28-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v28-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v28-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-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-1-full-066126-v28-mkmlizer: Downloaded to shared memory in 78.715s
junhua024-chai-1-full-066126-v28-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v28-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpooue3bev, device:0
junhua024-chai-1-full-066126-v28-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v28-mkmlizer: quantized model in 31.410s
junhua024-chai-1-full-066126-v28-mkmlizer: Processed model junhua024/chai-1-full-066126 in 110.203s
junhua024-chai-1-full-066126-v28-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v28-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v28-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v28/nvidia
junhua024-chai-1-full-066126-v28-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v28/nvidia/config.json
junhua024-chai-1-full-066126-v28-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v28/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v28-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v28/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v28-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v28/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v28-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v28/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v28-mkmlizer: 
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Job junhua024-chai-1-full-066126-v28-mkmlizer completed after 138.29s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v28-mkmlizer
Pipeline stage MKMLizer completed in 138.82s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v28
Waiting for inference service junhua024-chai-1-full-066126-v28 to be ready
Inference service junhua024-chai-1-full-066126-v28 ready after 230.8813977241516s
Pipeline stage MKMLDeployer completed in 231.78s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2728536128997803s
Received healthy response to inference request in 1.6460835933685303s
Received healthy response to inference request in 1.9471430778503418s
Received healthy response to inference request in 1.6227433681488037s
Received healthy response to inference request in 1.8020870685577393s
5 requests
0 failed requests
5th percentile: 1.627411413192749
10th percentile: 1.6320794582366944
20th percentile: 1.641415548324585
30th percentile: 1.6772842884063721
40th percentile: 1.7396856784820556
50th percentile: 1.8020870685577393
60th percentile: 1.8601094722747802
70th percentile: 1.9181318759918213
80th percentile: 2.0122851848602297
90th percentile: 2.142569398880005
95th percentile: 2.2077115058898924
99th percentile: 2.2598251914978027
mean time: 1.858182144165039
Pipeline stage StressChecker completed in 10.82s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.68s
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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 0.90s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v28 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 0.19s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v28-profiler
Waiting for inference service junhua024-chai-1-full-066126-v28-profiler to be ready
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5265.37s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v28 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v28 status is now torndown due to DeploymentManager action