junhua024-chai-02-full-02-019

developer_uid: junhua024
submission_id: junhua024-chai-02-full-02-019_v6
model_name: junhua024-chai-02-full-02-019_v6
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T02:14:30+00:00
num_battles: 6197
num_wins: 3203
celo_rating: 1297.8
family_friendly_score: 0.41359999999999997
family_friendly_standard_error: 0.006964697265495465
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: 4048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.37103084032198347, 'latency_mean': 2.695082743167877, 'latency_p50': 2.6869794130325317, 'latency_p90': 2.8651700735092165}, {'batch_size': 2, 'throughput': 0.45387685785682724, 'latency_mean': 4.402224020957947, 'latency_p50': 4.4264010190963745, 'latency_p90': 4.706533670425415}, {'batch_size': 3, 'throughput': 0.486318671824914, 'latency_mean': 6.158805058002472, 'latency_p50': 6.173974633216858, 'latency_p90': 6.82110002040863}, {'batch_size': 5, 'throughput': 0.5190845446917802, 'latency_mean': 9.60335585474968, 'latency_p50': 9.616207361221313, 'latency_p90': 10.794964909553528}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-02-019_v6
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.43
us_pacific_date: 2025-07-23
win_ratio: 0.5168629982249475
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': 4048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{memory} You are an empathetic conversational AI with high integrity standards. You care for the user's feelings and respond with warmth, compassion, and sincerity. You are trying to make positive and constructive contributions to the user.", '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-02-019-v6-mkmlizer
Waiting for job on junhua024-chai-02-full-02-019-v6-mkmlizer to finish
junhua024-chai-02-full-02-019-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-02-019-v6-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-02-019-v6-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-02-019-v6-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v6-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-02-019-v6-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-02-019-v6-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-02-019-v6-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-02-019-v6-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-02-019-v6-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-02-019-v6-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v6-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-02-019-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-02-019-v6-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-02-019-v6-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-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-02-019-v6-mkmlizer: Downloaded to shared memory in 94.752s
junhua024-chai-02-full-02-019-v6-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-02-019-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpm61rtkqj, device:0
junhua024-chai-02-full-02-019-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-02-019-v6-mkmlizer: quantized model in 166.517s
junhua024-chai-02-full-02-019-v6-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 261.505s
junhua024-chai-02-full-02-019-v6-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-02-019-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-02-019-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v6/nvidia
junhua024-chai-02-full-02-019-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v6/nvidia/config.json
junhua024-chai-02-full-02-019-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v6/nvidia/special_tokens_map.json
junhua024-chai-02-full-02-019-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v6/nvidia/tokenizer_config.json
junhua024-chai-02-full-02-019-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v6/nvidia/tokenizer.json
junhua024-chai-02-full-02-019-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v6/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-02-019-v6-mkmlizer completed after 289.03s with status: succeeded
Stopping job with name junhua024-chai-02-full-02-019-v6-mkmlizer
Pipeline stage MKMLizer completed in 289.90s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-02-019-v6
Waiting for inference service junhua024-chai-02-full-02-019-v6 to be ready
Inference service junhua024-chai-02-full-02-019-v6 ready after 171.9490225315094s
Pipeline stage MKMLDeployer completed in 174.16s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2379534244537354s
Received healthy response to inference request in 2.6391148567199707s
Received healthy response to inference request in 2.560586452484131s
Received healthy response to inference request in 1.3468563556671143s
Received healthy response to inference request in 2.6416163444519043s
5 requests
0 failed requests
5th percentile: 1.5250757694244386
10th percentile: 1.7032951831817627
20th percentile: 2.059734010696411
30th percentile: 2.3024800300598143
40th percentile: 2.4315332412719726
50th percentile: 2.560586452484131
60th percentile: 2.591997814178467
70th percentile: 2.6234091758728026
80th percentile: 2.6396151542663575
90th percentile: 2.6406157493591307
95th percentile: 2.6411160469055175
99th percentile: 2.641516284942627
mean time: 2.285225486755371
Pipeline stage StressChecker completed in 13.51s
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 0.79s
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 0.74s
Shutdown handler de-registered
junhua024-chai-02-full-02-019_v6 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 3227.63s
Shutdown handler de-registered
junhua024-chai-02-full-02-019_v6 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-02-019_v6 status is now torndown due to DeploymentManager action