junhua024-chai-02-full-02-019

developer_uid: junhua024
submission_id: junhua024-chai-02-full-02-019_v2
model_name: junhua024-chai-02-full-02-019_v2
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-23T20:01:57+00:00
num_battles: 7055
num_wins: 3681
celo_rating: 1294.01
family_friendly_score: 0.4062
family_friendly_standard_error: 0.006945524602216884
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: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5258157985534213, 'latency_mean': 1.9016872787475585, 'latency_p50': 1.9036509990692139, 'latency_p90': 2.048342704772949}, {'batch_size': 2, 'throughput': 0.6986385200089553, 'latency_mean': 2.858993784189224, 'latency_p50': 2.854279041290283, 'latency_p90': 3.0688963174819945}, {'batch_size': 3, 'throughput': 0.7908827751182166, 'latency_mean': 3.782031444311142, 'latency_p50': 3.7615760564804077, 'latency_p90': 4.094185805320739}, {'batch_size': 4, 'throughput': 0.847625749501411, 'latency_mean': 4.711073254346847, 'latency_p50': 4.702493906021118, 'latency_p90': 5.323565220832824}, {'batch_size': 5, 'throughput': 0.8722107596316195, 'latency_mean': 5.703472253084183, 'latency_p50': 5.694272518157959, 'latency_p90': 6.512782311439514}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-02-019_v2
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.79
us_pacific_date: 2025-07-23
win_ratio: 0.5217576187101347
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, '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-02-full-02-019-v2-mkmlizer
Waiting for job on junhua024-chai-02-full-02-019-v2-mkmlizer to finish
junhua024-chai-02-full-02-019-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-02-019-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-02-019-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-02-019-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-02-019-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-02-019-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-02-019-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-02-019-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-02-019-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-02-019-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-02-019-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-02-019-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-02-019-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-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-02-full-02-019-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpyyq_5wju, device:0
junhua024-chai-02-full-02-019-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-02-019-v2-mkmlizer: quantized model in 166.017s
junhua024-chai-02-full-02-019-v2-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 308.805s
junhua024-chai-02-full-02-019-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-02-019-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-02-019-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v2/nvidia
junhua024-chai-02-full-02-019-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v2/nvidia/config.json
junhua024-chai-02-full-02-019-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v2/nvidia/special_tokens_map.json
junhua024-chai-02-full-02-019-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v2/nvidia/tokenizer_config.json
junhua024-chai-02-full-02-019-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v2/nvidia/tokenizer.json
junhua024-chai-02-full-02-019-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v2/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-02-019-v2-mkmlizer completed after 337.88s with status: succeeded
Stopping job with name junhua024-chai-02-full-02-019-v2-mkmlizer
Pipeline stage MKMLizer completed in 338.71s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-02-019-v2
Waiting for inference service junhua024-chai-02-full-02-019-v2 to be ready
Inference service junhua024-chai-02-full-02-019-v2 ready after 171.27311420440674s
Pipeline stage MKMLDeployer completed in 171.84s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.5320193767547607s
Received healthy response to inference request in 1.451794147491455s
Received healthy response to inference request in 1.8134748935699463s
Received healthy response to inference request in 1.2530910968780518s
Received healthy response to inference request in 1.459625482559204s
5 requests
0 failed requests
5th percentile: 1.2928317070007325
10th percentile: 1.3325723171234132
20th percentile: 1.4120535373687744
30th percentile: 1.453360414505005
40th percentile: 1.4564929485321045
50th percentile: 1.459625482559204
60th percentile: 1.601165246963501
70th percentile: 1.7427050113677978
80th percentile: 2.1571837902069095
90th percentile: 2.844601583480835
95th percentile: 3.1883104801177975
99th percentile: 3.463277597427368
mean time: 1.9020009994506837
Pipeline stage StressChecker completed in 11.24s
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 0.68s
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 0.72s
Shutdown handler de-registered
junhua024-chai-02-full-02-019_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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5307.43s
Shutdown handler de-registered
junhua024-chai-02-full-02-019_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-02-019_v2 status is now torndown due to DeploymentManager action