junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v16
model_name: junhua024-chai-02-full_54657_v16
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T10:32:26+00:00
num_battles: 5601
num_wins: 2830
celo_rating: 1283.9
family_friendly_score: 0.40480000000000005
family_friendly_standard_error: 0.006941713909403066
submission_type: basic
model_repo: junhua024/chai_02_full_02_019
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': 0.6716842245512992, 'latency_mean': 1.4886603260040283, 'latency_p50': 1.483851432800293, 'latency_p90': 1.6386366844177247}, {'batch_size': 3, 'throughput': 1.147711588329394, 'latency_mean': 2.6067723417282105, 'latency_p50': 2.5874202251434326, 'latency_p90': 2.914167857170105}, {'batch_size': 5, 'throughput': 1.337617478986166, 'latency_mean': 3.718361631631851, 'latency_p50': 3.722865343093872, 'latency_p90': 4.075497508049011}, {'batch_size': 6, 'throughput': 1.3920142221814407, 'latency_mean': 4.287819514274597, 'latency_p50': 4.292908072471619, 'latency_p90': 4.8332640647888185}, {'batch_size': 8, 'throughput': 1.4563226340676767, 'latency_mean': 5.459876163005829, 'latency_p50': 5.445244193077087, 'latency_p90': 6.158301115036011}, {'batch_size': 10, 'throughput': 1.4883487356415386, 'latency_mean': 6.66402178645134, 'latency_p50': 6.6022117137908936, 'latency_p90': 7.52278435230255}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v16
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-07-24
win_ratio: 0.5052669166220318
generation_params: {'temperature': 1.0, 'top_p': 1.0, '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': "{memory} You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity.", '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-02-full-54657-v16-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v16-mkmlizer to finish
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junhua024-chai-02-full-54657-v16-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v16-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v16-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v16-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v16-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v16-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v16-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v16-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v16-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v16-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v16-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v16-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v16-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v16-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v16-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v16-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-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-02-full-54657-v16-mkmlizer: Downloaded to shared memory in 77.518s
junhua024-chai-02-full-54657-v16-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v16-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpieh0urtu, device:0
junhua024-chai-02-full-54657-v16-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-02-full-54657-v16-mkmlizer: quantized model in 163.536s
junhua024-chai-02-full-54657-v16-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 241.126s
junhua024-chai-02-full-54657-v16-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v16-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v16/nvidia
junhua024-chai-02-full-54657-v16-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v16/nvidia/config.json
junhua024-chai-02-full-54657-v16-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v16/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v16/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v16/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v16-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v16/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-54657-v16-mkmlizer: 
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Job junhua024-chai-02-full-54657-v16-mkmlizer completed after 273.46s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v16-mkmlizer
Pipeline stage MKMLizer completed in 273.98s
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-02-full-54657-v16
Waiting for inference service junhua024-chai-02-full-54657-v16 to be ready
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service junhua024-chai-02-full-54657-v16 ready after 181.07302570343018s
Pipeline stage MKMLDeployer completed in 181.70s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9635965824127197s
Received healthy response to inference request in 1.3705518245697021s
Received healthy response to inference request in 2.681579828262329s
Received healthy response to inference request in 1.5752017498016357s
Received healthy response to inference request in 1.3887271881103516s
5 requests
0 failed requests
5th percentile: 1.374186897277832
10th percentile: 1.377821969985962
20th percentile: 1.3850921154022218
30th percentile: 1.4260221004486084
40th percentile: 1.500611925125122
50th percentile: 1.5752017498016357
60th percentile: 1.7305596828460694
70th percentile: 1.8859176158905029
80th percentile: 2.1071932315826416
90th percentile: 2.3943865299224854
95th percentile: 2.5379831790924072
99th percentile: 2.652860498428345
mean time: 1.7959314346313477
Pipeline stage StressChecker completed in 10.81s
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 0.74s
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-02-full_54657_v16 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 0.14s
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-02-full-54657-v16-profiler
Waiting for inference service junhua024-chai-02-full-54657-v16-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2903.74s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v16 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v16 status is now torndown due to DeploymentManager action