junhua024-chai-06-full-_25593

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_25593_v1
model_name: junhua024-chai-06-full-_25593_v1
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T07:43:32+00:00
num_battles: 7160
num_wins: 3503
celo_rating: 1277.43
family_friendly_score: 0.5532
family_friendly_standard_error: 0.0070309282459715084
submission_type: basic
model_repo: junhua024/chai_06_full_02102_16191
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': 0.6081990483955337, 'latency_mean': 1.6440163922309876, 'latency_p50': 1.6348276138305664, 'latency_p90': 1.8234783411026}, {'batch_size': 3, 'throughput': 1.0812237177470483, 'latency_mean': 2.768037050962448, 'latency_p50': 2.778523325920105, 'latency_p90': 3.031496453285217}, {'batch_size': 5, 'throughput': 1.304093834024629, 'latency_mean': 3.8143588697910307, 'latency_p50': 3.8287746906280518, 'latency_p90': 4.23678936958313}, {'batch_size': 6, 'throughput': 1.3627356761185832, 'latency_mean': 4.377172391414643, 'latency_p50': 4.418402910232544, 'latency_p90': 4.958612561225891}, {'batch_size': 8, 'throughput': 1.442466508834186, 'latency_mean': 5.513757827281952, 'latency_p50': 5.515759110450745, 'latency_p90': 6.114013648033142}, {'batch_size': 10, 'throughput': 1.468355659039081, 'latency_mean': 6.748406349420548, 'latency_p50': 6.782420516014099, 'latency_p90': 7.528105282783508}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_25593_v1
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_16191
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-18
win_ratio: 0.4892458100558659
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-25593-v1-mkmlizer
Waiting for job on junhua024-chai-06-full-25593-v1-mkmlizer to finish
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junhua024-chai-06-full-25593-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-25593-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-25593-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-25593-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-25593-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-25593-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-25593-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-25593-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-25593-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-25593-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-25593-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-25593-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-25593-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-25593-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-25593-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-25593-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-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-06-full-25593-v1-mkmlizer: Downloaded to shared memory in 122.280s
junhua024-chai-06-full-25593-v1-mkmlizer: Checking if junhua024/chai_06_full_02102_16191 already exists in ChaiML
junhua024-chai-06-full-25593-v1-mkmlizer: Creating repo ChaiML/chai_06_full_02102_16191 and uploading /tmp/tmpmaxjr3mv to it
junhua024-chai-06-full-25593-v1-mkmlizer: 
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junhua024-chai-06-full-25593-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpmaxjr3mv, device:0
junhua024-chai-06-full-25593-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-25593-v1-mkmlizer: quantized model in 31.665s
junhua024-chai-06-full-25593-v1-mkmlizer: Processed model junhua024/chai_06_full_02102_16191 in 230.257s
junhua024-chai-06-full-25593-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-25593-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-25593-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-25593-v1/nvidia
junhua024-chai-06-full-25593-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-25593-v1/nvidia/tokenizer.json
junhua024-chai-06-full-25593-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-25593-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-25593-v1-mkmlizer completed after 263.5s with status: succeeded
Stopping job with name junhua024-chai-06-full-25593-v1-mkmlizer
Pipeline stage MKMLizer completed in 264.10s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-25593-v1
Waiting for inference service junhua024-chai-06-full-25593-v1 to be ready
Unable to record family friendly update due to error: Invalid JSON input: JSON must contain 'User Safety' and 'Response Safety' fields
Inference service junhua024-chai-06-full-25593-v1 ready after 322.24359679222107s
Pipeline stage MKMLDeployer completed in 322.95s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.454490900039673s
Received healthy response to inference request in 1.8204035758972168s
Received healthy response to inference request in 1.5356230735778809s
Received healthy response to inference request in 1.6237425804138184s
Received healthy response to inference request in 2.21301531791687s
5 requests
0 failed requests
5th percentile: 1.5532469749450684
10th percentile: 1.5708708763122559
20th percentile: 1.6061186790466309
30th percentile: 1.663074779510498
40th percentile: 1.7417391777038573
50th percentile: 1.8204035758972168
60th percentile: 1.9774482727050782
70th percentile: 2.1344929695129395
80th percentile: 2.2613104343414308
90th percentile: 2.3579006671905516
95th percentile: 2.406195783615112
99th percentile: 2.4448318767547605
mean time: 1.9294550895690918
Pipeline stage StressChecker completed in 11.29s
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 0.68s
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 0.91s
Shutdown handler de-registered
junhua024-chai-06-full-_25593_v1 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 0.15s
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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-25593-v1-profiler
Waiting for inference service junhua024-chai-06-full-25593-v1-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 4631.12s
Shutdown handler de-registered
junhua024-chai-06-full-_25593_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_25593_v1 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_25593_v1 status is now torndown due to DeploymentManager action