junhua024-chai-1-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-1-full-0022_v1
model_name: junhua024-chai-1-full-0022_v1
model_group: junhua024/chai_1-full_00
status: torndown
timestamp: 2025-06-28T16:20:53+00:00
num_battles: 6867
num_wins: 3108
celo_rating: 1242.02
family_friendly_score: 0.5912
family_friendly_standard_error: 0.006952446475881709
submission_type: basic
model_repo: junhua024/chai_1-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': 0.5953735669749989, 'latency_mean': 1.6794249248504638, 'latency_p50': 1.6795775890350342, 'latency_p90': 1.861078643798828}, {'batch_size': 3, 'throughput': 1.0804718031492764, 'latency_mean': 2.7735253059864045, 'latency_p50': 2.7533150911331177, 'latency_p90': 3.0880713224411007}, {'batch_size': 5, 'throughput': 1.2903475989549158, 'latency_mean': 3.860708384513855, 'latency_p50': 3.8502111434936523, 'latency_p90': 4.324272727966308}, {'batch_size': 6, 'throughput': 1.3483965118848278, 'latency_mean': 4.424680210351944, 'latency_p50': 4.424851655960083, 'latency_p90': 4.971657776832581}, {'batch_size': 8, 'throughput': 1.419830920312229, 'latency_mean': 5.58638037443161, 'latency_p50': 5.6086506843566895, 'latency_p90': 6.2911663293838505}, {'batch_size': 10, 'throughput': 1.4589870235588855, 'latency_mean': 6.800237301588059, 'latency_p50': 6.729975938796997, 'latency_p90': 7.574279737472534}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-0022_v1
is_internal_developer: False
language_model: junhua024/chai_1-full_0022
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-06-28
win_ratio: 0.4525993883792049
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, '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-1-full-0022-v1-mkmlizer
Waiting for job on junhua024-chai-1-full-0022-v1-mkmlizer to finish
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junhua024-chai-1-full-0022-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-0022-v1-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-0022-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-0022-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-0022-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-0022-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-0022-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-0022-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-0022-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-0022-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-0022-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-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-1-full-0022-v1-mkmlizer: Downloaded to shared memory in 132.784s
junhua024-chai-1-full-0022-v1-mkmlizer: Checking if junhua024/chai_1-full_0022 already exists in ChaiML
junhua024-chai-1-full-0022-v1-mkmlizer: Creating repo ChaiML/chai_1-full_0022 and uploading /tmp/tmp2zs5jv14 to it
junhua024-chai-1-full-0022-v1-mkmlizer: 
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junhua024-chai-1-full-0022-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2zs5jv14, device:0
junhua024-chai-1-full-0022-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-0022-v1-mkmlizer: quantized model in 31.533s
junhua024-chai-1-full-0022-v1-mkmlizer: Processed model junhua024/chai_1-full_0022 in 231.724s
junhua024-chai-1-full-0022-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-0022-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-0022-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-0022-v1
junhua024-chai-1-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-0022-v1/config.json
junhua024-chai-1-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-0022-v1/special_tokens_map.json
junhua024-chai-1-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-0022-v1/tokenizer_config.json
junhua024-chai-1-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-0022-v1/tokenizer.json
junhua024-chai-1-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-0022-v1/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-0022-v1-mkmlizer completed after 260.35s with status: succeeded
Stopping job with name junhua024-chai-1-full-0022-v1-mkmlizer
Pipeline stage MKMLizer completed in 260.89s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-0022-v1
Waiting for inference service junhua024-chai-1-full-0022-v1 to be ready
Inference service junhua024-chai-1-full-0022-v1 ready after 200.7455050945282s
Pipeline stage MKMLDeployer completed in 201.62s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.248305082321167s
Received healthy response to inference request in 1.2927868366241455s
Received healthy response to inference request in 1.9510130882263184s
Received healthy response to inference request in 1.5084397792816162s
Received healthy response to inference request in 1.0596463680267334s
5 requests
0 failed requests
5th percentile: 1.106274461746216
10th percentile: 1.1529025554656982
20th percentile: 1.246158742904663
30th percentile: 1.3359174251556396
40th percentile: 1.422178602218628
50th percentile: 1.5084397792816162
60th percentile: 1.685469102859497
70th percentile: 1.8624984264373778
80th percentile: 2.010471487045288
90th percentile: 2.1293882846832277
95th percentile: 2.1888466835021974
99th percentile: 2.236413402557373
mean time: 1.6120382308959962
Pipeline stage StressChecker completed in 10.03s
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 0.71s
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 0.82s
Shutdown handler de-registered
junhua024-chai-1-full-0022_v1 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 3108.78s
Shutdown handler de-registered
junhua024-chai-1-full-0022_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-0022_v1 status is now torndown due to DeploymentManager action