junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v81
model_name: junhua024-chai-1-full-066126_v81
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T18:04:26+00:00
num_battles: 8092
num_wins: 3843
celo_rating: 1272.02
family_friendly_score: 0.5526
family_friendly_standard_error: 0.007031831055991035
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': 0.6016879533726437, 'latency_mean': 1.6618272948265076, 'latency_p50': 1.6615073680877686, 'latency_p90': 1.8306990385055542}, {'batch_size': 3, 'throughput': 1.0807816740656215, 'latency_mean': 2.771963549852371, 'latency_p50': 2.773927688598633, 'latency_p90': 3.0326337814331055}, {'batch_size': 5, 'throughput': 1.2800939307205725, 'latency_mean': 3.885090901851654, 'latency_p50': 3.883811116218567, 'latency_p90': 4.31753900051117}, {'batch_size': 6, 'throughput': 1.359016100498819, 'latency_mean': 4.378019773960114, 'latency_p50': 4.396737694740295, 'latency_p90': 4.8746988534927365}, {'batch_size': 8, 'throughput': 1.4138594305673176, 'latency_mean': 5.614361857175827, 'latency_p50': 5.638540625572205, 'latency_p90': 6.341263294219971}, {'batch_size': 10, 'throughput': 1.4633309774098047, 'latency_mean': 6.795534516572952, 'latency_p50': 6.764247417449951, 'latency_p90': 7.5939912557601925}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v81
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-15
win_ratio: 0.4749134948096886
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.5, '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-v81-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v81-mkmlizer to finish
junhua024-chai-1-full-066126-v81-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v81-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v81-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v81-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v81-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v81-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v81-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v81-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v81-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v81-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v81-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v81-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v81-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v81-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v81-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v81-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v81-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-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-v81-mkmlizer: Downloaded to shared memory in 74.611s
junhua024-chai-1-full-066126-v81-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v81-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpzkx0slek, device:0
junhua024-chai-1-full-066126-v81-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v81-mkmlizer: quantized model in 32.363s
junhua024-chai-1-full-066126-v81-mkmlizer: Processed model junhua024/chai-1-full-066126 in 107.056s
junhua024-chai-1-full-066126-v81-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v81-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v81-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v81/nvidia
junhua024-chai-1-full-066126-v81-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v81/nvidia/config.json
junhua024-chai-1-full-066126-v81-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v81/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v81-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v81/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v81-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v81/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v81-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v81/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v81-mkmlizer completed after 139.15s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v81-mkmlizer
Pipeline stage MKMLizer completed in 139.91s
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-1-full-066126-v81
Waiting for inference service junhua024-chai-1-full-066126-v81 to be ready
Inference service junhua024-chai-1-full-066126-v81 ready after 256.52769804000854s
Pipeline stage MKMLDeployer completed in 257.22s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7501070499420166s
Received healthy response to inference request in 1.6587235927581787s
Received healthy response to inference request in 1.6136155128479004s
Received healthy response to inference request in 1.9472730159759521s
Received healthy response to inference request in 1.802135944366455s
5 requests
0 failed requests
5th percentile: 1.6226371288299561
10th percentile: 1.6316587448120117
20th percentile: 1.649701976776123
30th percentile: 1.687406063079834
40th percentile: 1.7447710037231445
50th percentile: 1.802135944366455
60th percentile: 1.8601907730102538
70th percentile: 1.9182456016540528
80th percentile: 2.107839822769165
90th percentile: 2.428973436355591
95th percentile: 2.5895402431488037
99th percentile: 2.717993688583374
mean time: 1.9543710231781006
Pipeline stage StressChecker completed in 11.36s
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 0.92s
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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 0.86s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v81 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 0.13s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v81-profiler
Waiting for inference service junhua024-chai-1-full-066126-v81-profiler to be ready
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3193.41s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v81 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v81 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v81 status is now torndown due to DeploymentManager action