junhua024-chai-1-full_94469

developer_uid: junhua024
submission_id: junhua024-chai-1-full_94469_v125
model_name: junhua024-chai-1-full_94469_v125
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-18T07:45:11+00:00
num_battles: 7107
num_wins: 3458
celo_rating: 1277.07
family_friendly_score: 0.5506
family_friendly_standard_error: 0.007034765667739047
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': 0.5923770708040755, 'latency_mean': 1.6880026161670685, 'latency_p50': 1.683797001838684, 'latency_p90': 1.847338891029358}, {'batch_size': 3, 'throughput': 1.0656292272262793, 'latency_mean': 2.803827801942825, 'latency_p50': 2.809757947921753, 'latency_p90': 3.0941067934036255}, {'batch_size': 5, 'throughput': 1.2725485540387684, 'latency_mean': 3.915839288234711, 'latency_p50': 3.921382784843445, 'latency_p90': 4.348649358749389}, {'batch_size': 6, 'throughput': 1.335239892659014, 'latency_mean': 4.478180545568466, 'latency_p50': 4.477956771850586, 'latency_p90': 4.992657566070557}, {'batch_size': 8, 'throughput': 1.3921488367030639, 'latency_mean': 5.709962080717087, 'latency_p50': 5.721327066421509, 'latency_p90': 6.512578320503235}, {'batch_size': 10, 'throughput': 1.4169782730154667, 'latency_mean': 7.003638253211975, 'latency_p50': 6.971636891365051, 'latency_p90': 7.896050024032593}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full_94469_v125
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-18
win_ratio: 0.48656254397073306
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-1-full-94469-v125-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v125-mkmlizer to finish
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)
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junhua024-chai-1-full-94469-v125-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-94469-v125-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-94469-v125-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v125-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-94469-v125-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-94469-v125-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-94469-v125-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-94469-v125-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v125-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-94469-v125-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-94469-v125-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v125-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-94469-v125-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-94469-v125-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-94469-v125-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v125-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-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-94469-v125-mkmlizer: Downloaded to shared memory in 72.319s
junhua024-chai-1-full-94469-v125-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-94469-v125-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp119y8__1, device:0
junhua024-chai-1-full-94469-v125-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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)
junhua024-chai-1-full-94469-v125-mkmlizer: quantized model in 32.592s
junhua024-chai-1-full-94469-v125-mkmlizer: Processed model junhua024/chai-1-full-066126 in 105.018s
junhua024-chai-1-full-94469-v125-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v125-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v125-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v125/nvidia
junhua024-chai-1-full-94469-v125-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v125/nvidia/config.json
junhua024-chai-1-full-94469-v125-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v125/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v125-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v125/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v125-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v125/nvidia/tokenizer.json
junhua024-chai-1-full-94469-v125-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v125/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-94469-v125-mkmlizer: 
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Job junhua024-chai-1-full-94469-v125-mkmlizer completed after 129.18s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v125-mkmlizer
Pipeline stage MKMLizer completed in 130.25s
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-94469-v125
Waiting for inference service junhua024-chai-1-full-94469-v125 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 chaiml-bat-boys-azeril-_87348_v1: ('http://chaiml-bat-boys-azeril-87348-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service junhua024-chai-1-full-94469-v125 ready after 331.3728082180023s
Pipeline stage MKMLDeployer completed in 332.10s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5950777530670166s
Received healthy response to inference request in 1.8901445865631104s
Received healthy response to inference request in 1.7169601917266846s
Received healthy response to inference request in 1.6781129837036133s
Received healthy response to inference request in 1.7543480396270752s
5 requests
0 failed requests
5th percentile: 1.6858824253082276
10th percentile: 1.6936518669128418
20th percentile: 1.7091907501220702
30th percentile: 1.7244377613067627
40th percentile: 1.7393929004669189
50th percentile: 1.7543480396270752
60th percentile: 1.8086666584014892
70th percentile: 1.8629852771759032
80th percentile: 2.031131219863892
90th percentile: 2.313104486465454
95th percentile: 2.454091119766235
99th percentile: 2.5668804264068603
mean time: 1.9269287109375
Pipeline stage StressChecker completed in 10.98s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.82s
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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 1.03s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v125 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 0.15s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-94469-v125-profiler
Waiting for inference service junhua024-chai-1-full-94469-v125-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 4753.11s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v125 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full_94469_v125 status is now torndown due to DeploymentManager action
junhua024-chai-1-full_94469_v125 status is now torndown due to DeploymentManager action