junhua024-chai-02-full-06105

developer_uid: junhua024
submission_id: junhua024-chai-02-full-06105_v1
model_name: junhua024-chai-02-full-06105_v1
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-16T16:32:30+00:00
num_battles: 9904
num_wins: 4962
celo_rating: 1278.19
family_friendly_score: 0.5526
family_friendly_standard_error: 0.007031831055991035
submission_type: basic
model_repo: junhua024/chai_02_full_06105
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': 0.5955514662344766, 'latency_mean': 1.679013775587082, 'latency_p50': 1.6773898601531982, 'latency_p90': 1.8554926872253417}, {'batch_size': 3, 'throughput': 1.0822124843116365, 'latency_mean': 2.7701863944530487, 'latency_p50': 2.767839789390564, 'latency_p90': 3.035191774368286}, {'batch_size': 5, 'throughput': 1.2857205185413838, 'latency_mean': 3.867234841585159, 'latency_p50': 3.891308307647705, 'latency_p90': 4.272425556182862}, {'batch_size': 6, 'throughput': 1.3555040427021985, 'latency_mean': 4.40684962272644, 'latency_p50': 4.407915949821472, 'latency_p90': 4.945337772369385}, {'batch_size': 8, 'throughput': 1.4163434546160554, 'latency_mean': 5.610423903465271, 'latency_p50': 5.582184910774231, 'latency_p90': 6.226565742492676}, {'batch_size': 10, 'throughput': 1.4447987557911899, 'latency_mean': 6.858969979286194, 'latency_p50': 6.860385298728943, 'latency_p90': 7.741791725158691}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-06105_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_06105
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-16
win_ratio: 0.5010096930533118
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-02-full-06105-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-06105-v1-mkmlizer to finish
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junhua024-chai-02-full-06105-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-06105-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-06105-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06105-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-06105-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-06105-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-06105-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-06105-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06105-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-06105-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-06105-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06105-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-06105-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-06105-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-06105-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06105-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-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-02-full-06105-v1-mkmlizer: Downloaded to shared memory in 241.784s
junhua024-chai-02-full-06105-v1-mkmlizer: Checking if junhua024/chai_02_full_06105 already exists in ChaiML
junhua024-chai-02-full-06105-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkpqywk4k, device:0
junhua024-chai-02-full-06105-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-06105-v1-mkmlizer: quantized model in 31.067s
junhua024-chai-02-full-06105-v1-mkmlizer: Processed model junhua024/chai_02_full_06105 in 272.935s
junhua024-chai-02-full-06105-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-06105-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-06105-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-06105-v1/nvidia
junhua024-chai-02-full-06105-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-06105-v1/nvidia/config.json
junhua024-chai-02-full-06105-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-06105-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-06105-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-06105-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-06105-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-06105-v1/nvidia/tokenizer.json
junhua024-chai-02-full-06105-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-06105-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-06105-v1-mkmlizer: 
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Job junhua024-chai-02-full-06105-v1-mkmlizer completed after 295.0s with status: succeeded
Stopping job with name junhua024-chai-02-full-06105-v1-mkmlizer
Pipeline stage MKMLizer completed in 295.52s
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 junhua024-chai-02-full-06105-v1
Waiting for inference service junhua024-chai-02-full-06105-v1 to be ready
Inference service junhua024-chai-02-full-06105-v1 ready after 261.4565165042877s
Pipeline stage MKMLDeployer completed in 261.98s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.494140863418579s
Received healthy response to inference request in 2.3695952892303467s
Received healthy response to inference request in 1.654655933380127s
Received healthy response to inference request in 1.7470200061798096s
Received healthy response to inference request in 1.8928172588348389s
5 requests
0 failed requests
5th percentile: 1.6731287479400634
10th percentile: 1.6916015625
20th percentile: 1.7285471916198731
30th percentile: 1.7761794567108153
40th percentile: 1.834498357772827
50th percentile: 1.8928172588348389
60th percentile: 2.083528470993042
70th percentile: 2.274239683151245
80th percentile: 2.3945044040679933
90th percentile: 2.444322633743286
95th percentile: 2.4692317485809325
99th percentile: 2.48915904045105
mean time: 2.0316458702087403
Pipeline stage StressChecker completed in 11.61s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.72s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.05s
Shutdown handler de-registered
junhua024-chai-02-full-06105_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-02-full-06105-v1-profiler
Waiting for inference service junhua024-chai-02-full-06105-v1-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 5945.06s
Shutdown handler de-registered
junhua024-chai-02-full-06105_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-06105_v1 status is now torndown due to DeploymentManager action
junhua024-chai-02-full-06105_v1 status is now torndown due to DeploymentManager action