junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v30
model_name: junhua024-chai-02-full_54657_v30
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-25T05:28:57+00:00
num_battles: 5964
num_wins: 3062
celo_rating: 1295.55
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: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5197485789311307, 'latency_mean': 1.9238403713703156, 'latency_p50': 1.928645133972168, 'latency_p90': 2.0840920925140383}, {'batch_size': 2, 'throughput': 0.6938043655115587, 'latency_mean': 2.879503630399704, 'latency_p50': 2.8750499486923218, 'latency_p90': 3.1112270832061766}, {'batch_size': 3, 'throughput': 0.7809007799666156, 'latency_mean': 3.8301816177368164, 'latency_p50': 3.8490850925445557, 'latency_p90': 4.2030902862548825}, {'batch_size': 4, 'throughput': 0.8535157794507684, 'latency_mean': 4.674620045423508, 'latency_p50': 4.636268138885498, 'latency_p90': 5.3125499248504635}, {'batch_size': 5, 'throughput': 0.877138547292399, 'latency_mean': 5.673370553255081, 'latency_p50': 5.691073536872864, 'latency_p90': 6.30312340259552}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v30
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.77
us_pacific_date: 2025-07-24
win_ratio: 0.5134138162307177
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, '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-v30-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v30-mkmlizer to finish
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junhua024-chai-02-full-54657-v30-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v30-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v30-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v30-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v30-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v30-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v30-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v30-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v30-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v30-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v30-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v30-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v30-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v30-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v30-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v30-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-mkmlizer: quantized model in 164.291s
junhua024-chai-02-full-54657-v30-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 242.875s
junhua024-chai-02-full-54657-v30-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v30-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v30-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v30/nvidia
junhua024-chai-02-full-54657-v30-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v30/nvidia/config.json
junhua024-chai-02-full-54657-v30-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v30/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v30-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v30/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v30-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v30/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v30-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v30/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-54657-v30-mkmlizer: 
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Job junhua024-chai-02-full-54657-v30-mkmlizer completed after 262.75s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v30-mkmlizer
Pipeline stage MKMLizer completed in 263.27s
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-54657-v30
Waiting for inference service junhua024-chai-02-full-54657-v30 to be ready
Inference service junhua024-chai-02-full-54657-v30 ready after 190.86364459991455s
Pipeline stage MKMLDeployer completed in 191.50s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.3435161113739014s
Received healthy response to inference request in 2.920788049697876s
Received healthy response to inference request in 2.393355369567871s
Received healthy response to inference request in 2.3983423709869385s
5 requests
1 failed requests
5th percentile: 2.353483963012695
10th percentile: 2.3634518146514893
20th percentile: 2.3833875179290773
30th percentile: 2.3943527698516847
40th percentile: 2.3963475704193113
50th percentile: 2.3983423709869385
60th percentile: 2.6073206424713136
70th percentile: 2.816298913955688
80th percentile: 6.376204586029056
90th percentile: 13.287037658691407
95th percentile: 16.74245419502258
99th percentile: 19.506787424087523
mean time: 6.0507745265960695
%s, retrying in %s seconds...
Received healthy response to inference request in 1.6570212841033936s
Received healthy response to inference request in 1.990156650543213s
Received healthy response to inference request in 2.4012341499328613s
Received healthy response to inference request in 2.666358709335327s
Received healthy response to inference request in 2.5610287189483643s
5 requests
0 failed requests
5th percentile: 1.7236483573913575
10th percentile: 1.7902754306793214
20th percentile: 1.923529577255249
30th percentile: 2.0723721504211428
40th percentile: 2.236803150177002
50th percentile: 2.4012341499328613
60th percentile: 2.4651519775390627
70th percentile: 2.5290698051452636
80th percentile: 2.5820947170257567
90th percentile: 2.624226713180542
95th percentile: 2.6452927112579347
99th percentile: 2.6621455097198488
mean time: 2.2551599025726317
Pipeline stage StressChecker completed in 44.57s
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 0.73s
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_54657_v30 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 5768.42s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v30 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v30 status is now torndown due to DeploymentManager action