junhua024-chai-19a-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-19a-full-0022_v2
model_name: junhua024-chai-19a-full-0022_v2
model_group: junhua024/chai_19a-full_
status: torndown
timestamp: 2025-07-24T00:51:13+00:00
num_battles: 5365
num_wins: 1946
celo_rating: 1180.38
family_friendly_score: 0.5614
family_friendly_standard_error: 0.007017549999821875
submission_type: basic
model_repo: junhua024/chai_19a-full_0022
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': 0.6743967768530897, 'latency_mean': 1.482702579498291, 'latency_p50': 1.470910668373108, 'latency_p90': 1.6610753774642943}, {'batch_size': 3, 'throughput': 1.1265508553633996, 'latency_mean': 2.6577694272994994, 'latency_p50': 2.66547167301178, 'latency_p90': 2.9025963306427003}, {'batch_size': 5, 'throughput': 1.3156493310142987, 'latency_mean': 3.7814755070209505, 'latency_p50': 3.802861213684082, 'latency_p90': 4.252356910705567}, {'batch_size': 6, 'throughput': 1.3648094943923363, 'latency_mean': 4.380098096132278, 'latency_p50': 4.396575331687927, 'latency_p90': 4.875282716751099}, {'batch_size': 8, 'throughput': 1.4278305307336305, 'latency_mean': 5.575109568834304, 'latency_p50': 5.596794009208679, 'latency_p90': 6.29400064945221}, {'batch_size': 10, 'throughput': 1.46006276645215, 'latency_mean': 6.791503707170486, 'latency_p50': 6.787223219871521, 'latency_p90': 7.620987415313721}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-19a-full-0022_v2
is_internal_developer: False
language_model: junhua024/chai_19a-full_0022
model_size: 13B
ranking_group: single
throughput_3p7s: 1.31
us_pacific_date: 2025-07-23
win_ratio: 0.3627213420316869
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 40, '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-19a-full-0022-v2-mkmlizer
Waiting for job on junhua024-chai-19a-full-0022-v2-mkmlizer to finish
junhua024-chai-19a-full-0022-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-19a-full-0022-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-19a-full-0022-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19a-full-0022-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19a-full-0022-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19a-full-0022-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19a-full-0022-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19a-full-0022-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19a-full-0022-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19a-full-0022-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19a-full-0022-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19a-full-0022-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19a-full-0022-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19a-full-0022-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19a-full-0022-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19a-full-0022-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19a-full-0022-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-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-19a-full-0022-v2-mkmlizer: Downloaded to shared memory in 123.696s
junhua024-chai-19a-full-0022-v2-mkmlizer: Checking if junhua024/chai_19a-full_0022 already exists in ChaiML
junhua024-chai-19a-full-0022-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpbgje_whg, device:0
junhua024-chai-19a-full-0022-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19a-full-0022-v2-mkmlizer: quantized model in 164.638s
junhua024-chai-19a-full-0022-v2-mkmlizer: Processed model junhua024/chai_19a-full_0022 in 288.423s
junhua024-chai-19a-full-0022-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19a-full-0022-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19a-full-0022-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19a-full-0022-v2/nvidia
junhua024-chai-19a-full-0022-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19a-full-0022-v2/nvidia/config.json
junhua024-chai-19a-full-0022-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19a-full-0022-v2/nvidia/special_tokens_map.json
junhua024-chai-19a-full-0022-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19a-full-0022-v2/nvidia/tokenizer_config.json
junhua024-chai-19a-full-0022-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19a-full-0022-v2/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-19a-full-0022-v2-mkmlizer completed after 309.46s with status: succeeded
Stopping job with name junhua024-chai-19a-full-0022-v2-mkmlizer
Pipeline stage MKMLizer completed in 310.14s
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-19a-full-0022-v2
Waiting for inference service junhua024-chai-19a-full-0022-v2 to be ready
Inference service junhua024-chai-19a-full-0022-v2 ready after 171.78900170326233s
Pipeline stage MKMLDeployer completed in 172.48s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.6556556224823s
Received healthy response to inference request in 2.7728991508483887s
Received healthy response to inference request in 2.841217279434204s
Received healthy response to inference request in 2.1395390033721924s
Received healthy response to inference request in 1.8596105575561523s
5 requests
0 failed requests
5th percentile: 1.9155962467193604
10th percentile: 1.9715819358825684
20th percentile: 2.0835533142089844
30th percentile: 2.2662110328674316
40th percentile: 2.51955509185791
50th percentile: 2.7728991508483887
60th percentile: 2.800226402282715
70th percentile: 2.827553653717041
80th percentile: 3.2041049480438235
90th percentile: 3.929880285263062
95th percentile: 4.29276795387268
99th percentile: 4.5830780887603755
mean time: 2.8537843227386475
Pipeline stage StressChecker completed in 15.79s
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 1.05s
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 0.70s
Shutdown handler de-registered
junhua024-chai-19a-full-0022_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2911.04s
Shutdown handler de-registered
junhua024-chai-19a-full-0022_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19a-full-0022_v2 status is now torndown due to DeploymentManager action