junhua024-chai-06-full-_25593

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_25593_v2
model_name: junhua024-chai-06-full-_25593_v2
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T07:43:52+00:00
num_battles: 8162
num_wins: 4002
celo_rating: 1279.57
family_friendly_score: 0.5492
family_friendly_standard_error: 0.007036751523252757
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': 0.5975752092911748, 'latency_mean': 1.6733229553699493, 'latency_p50': 1.6780146360397339, 'latency_p90': 1.8438527584075928}, {'batch_size': 3, 'throughput': 1.0884820076396322, 'latency_mean': 2.7441114497184755, 'latency_p50': 2.748380661010742, 'latency_p90': 3.017571043968201}, {'batch_size': 5, 'throughput': 1.3076823662421728, 'latency_mean': 3.8036575162410737, 'latency_p50': 3.8025929927825928, 'latency_p90': 4.251491189002991}, {'batch_size': 6, 'throughput': 1.377984482371315, 'latency_mean': 4.335060471296311, 'latency_p50': 4.302839398384094, 'latency_p90': 4.814969801902771}, {'batch_size': 8, 'throughput': 1.4288610977492984, 'latency_mean': 5.5539826238155365, 'latency_p50': 5.547229766845703, 'latency_p90': 6.311140608787537}, {'batch_size': 10, 'throughput': 1.4722090463388104, 'latency_mean': 6.746332577466965, 'latency_p50': 6.829660892486572, 'latency_p90': 7.531347990036011}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_25593_v2
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_16191
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-07-18
win_ratio: 0.490320999754962
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-v2-mkmlizer
Waiting for job on junhua024-chai-06-full-25593-v2-mkmlizer to finish
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junhua024-chai-06-full-25593-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-25593-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-25593-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-25593-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-25593-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-25593-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-25593-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-25593-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-25593-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-25593-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-25593-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-25593-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-25593-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-25593-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-25593-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-25593-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-25593-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-mkmlizer: Downloaded to shared memory in 115.708s
junhua024-chai-06-full-25593-v2-mkmlizer: Checking if junhua024/chai_06_full_02102_16191 already exists in ChaiML
junhua024-chai-06-full-25593-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpx349r3ry, device:0
junhua024-chai-06-full-25593-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-25593-v2-mkmlizer: quantized model in 32.515s
junhua024-chai-06-full-25593-v2-mkmlizer: Processed model junhua024/chai_06_full_02102_16191 in 148.302s
junhua024-chai-06-full-25593-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-25593-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-25593-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-25593-v2/nvidia
junhua024-chai-06-full-25593-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-25593-v2/nvidia/config.json
junhua024-chai-06-full-25593-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-25593-v2/nvidia/special_tokens_map.json
junhua024-chai-06-full-25593-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-25593-v2/nvidia/tokenizer_config.json
junhua024-chai-06-full-25593-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-25593-v2/nvidia/tokenizer.json
junhua024-chai-06-full-25593-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-25593-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-25593-v2-mkmlizer: 
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Job junhua024-chai-06-full-25593-v2-mkmlizer completed after 172.45s with status: succeeded
Stopping job with name junhua024-chai-06-full-25593-v2-mkmlizer
Pipeline stage MKMLizer completed in 172.98s
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-06-full-25593-v2
Waiting for inference service junhua024-chai-06-full-25593-v2 to be ready
Failed to get response for submission zmeeks-capitancito_v20: HTTPConnectionPool(host='zmeeks-capitancito-v20-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitancito_v19: HTTPConnectionPool(host='zmeeks-capitancito-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitancito_v19: HTTPConnectionPool(host='zmeeks-capitancito-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitancito_v19: HTTPConnectionPool(host='zmeeks-capitancito-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-25593-v2 ready after 321.69884157180786s
Pipeline stage MKMLDeployer completed in 322.27s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.835820436477661s
Received healthy response to inference request in 1.862795352935791s
Received healthy response to inference request in 2.2608237266540527s
Received healthy response to inference request in 1.8041441440582275s
Received healthy response to inference request in 2.04910945892334s
5 requests
0 failed requests
5th percentile: 1.8158743858337403
10th percentile: 1.827604627609253
20th percentile: 1.8510651111602783
30th percentile: 1.9000581741333007
40th percentile: 1.9745838165283203
50th percentile: 2.04910945892334
60th percentile: 2.133795166015625
70th percentile: 2.21848087310791
80th percentile: 2.3758230686187747
90th percentile: 2.6058217525482177
95th percentile: 2.720821094512939
99th percentile: 2.812820568084717
mean time: 2.1625386238098145
Pipeline stage StressChecker completed in 12.49s
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 0.69s
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 0.69s
Shutdown handler de-registered
junhua024-chai-06-full-_25593_v2 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
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-25593-v2-profiler
Waiting for inference service junhua024-chai-06-full-25593-v2-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 5070.33s
Shutdown handler de-registered
junhua024-chai-06-full-_25593_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_25593_v2 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_25593_v2 status is now torndown due to DeploymentManager action