junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v82
model_name: junhua024-chai-1-full-066126_v82
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T19:07:50+00:00
num_battles: 7637
num_wins: 3736
celo_rating: 1280.49
family_friendly_score: 0.5558000000000001
family_friendly_standard_error: 0.0070268963276826565
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': 0.5825678592536395, 'latency_mean': 1.7163871347904205, 'latency_p50': 1.705663800239563, 'latency_p90': 1.8902661323547363}, {'batch_size': 3, 'throughput': 1.05236058067818, 'latency_mean': 2.8411771941184996, 'latency_p50': 2.8028088808059692, 'latency_p90': 3.1333927392959593}, {'batch_size': 5, 'throughput': 1.2638960938400807, 'latency_mean': 3.9439210724830627, 'latency_p50': 3.9600913524627686, 'latency_p90': 4.359533977508545}, {'batch_size': 6, 'throughput': 1.3222692929598474, 'latency_mean': 4.502843210697174, 'latency_p50': 4.513543367385864, 'latency_p90': 5.063172626495361}, {'batch_size': 8, 'throughput': 1.3753024066777273, 'latency_mean': 5.778881187438965, 'latency_p50': 5.8055620193481445, 'latency_p90': 6.446668982505798}, {'batch_size': 10, 'throughput': 1.4095494638523296, 'latency_mean': 7.037656872272492, 'latency_p50': 7.091629266738892, 'latency_p90': 7.908976721763611}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v82
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.23
us_pacific_date: 2025-07-15
win_ratio: 0.48919732879402905
generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.05, '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} What nuanced feelings lie behind these words?', '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-066126-v82-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v82-mkmlizer to finish
junhua024-chai-1-full-066126-v82-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v82-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v82-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v82-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v82-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v82-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v82-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v82-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v82-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v82-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v82-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v82-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v82-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v82-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v82-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v82-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v82-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-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-066126-v82-mkmlizer: Downloaded to shared memory in 76.905s
junhua024-chai-1-full-066126-v82-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v82-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp35lko6tb, device:0
junhua024-chai-1-full-066126-v82-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v82-mkmlizer: quantized model in 31.995s
junhua024-chai-1-full-066126-v82-mkmlizer: Processed model junhua024/chai-1-full-066126 in 108.992s
junhua024-chai-1-full-066126-v82-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v82-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v82-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v82/nvidia
junhua024-chai-1-full-066126-v82-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v82/nvidia/config.json
junhua024-chai-1-full-066126-v82-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v82/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v82-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v82/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v82-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v82/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v82-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v82/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v82-mkmlizer: 
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Job junhua024-chai-1-full-066126-v82-mkmlizer completed after 138.15s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v82-mkmlizer
Pipeline stage MKMLizer completed in 138.68s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v82
Waiting for inference service junhua024-chai-1-full-066126-v82 to be ready
Inference service junhua024-chai-1-full-066126-v82 ready after 251.32404446601868s
Pipeline stage MKMLDeployer completed in 251.81s
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 2.8618662357330322s
Received healthy response to inference request in 1.774838924407959s
Received healthy response to inference request in 1.9428603649139404s
Received healthy response to inference request in 1.884093999862671s
5 requests
1 failed requests
5th percentile: 1.7966899394989013
10th percentile: 1.8185409545898437
20th percentile: 1.8622429847717286
30th percentile: 1.8958472728729248
40th percentile: 1.9193538188934327
50th percentile: 1.9428603649139404
60th percentile: 2.310462713241577
70th percentile: 2.678065061569214
80th percentile: 6.322727775573734
90th percentile: 13.244450855255128
95th percentile: 16.705312395095824
99th percentile: 19.474001626968384
mean time: 5.725966691970825
%s, retrying in %s seconds...
Received healthy response to inference request in 1.860034465789795s
Received healthy response to inference request in 1.4836313724517822s
Received healthy response to inference request in 1.6379272937774658s
Received healthy response to inference request in 2.0227785110473633s
Received healthy response to inference request in 1.7683639526367188s
5 requests
0 failed requests
5th percentile: 1.514490556716919
10th percentile: 1.5453497409820556
20th percentile: 1.6070681095123291
30th percentile: 1.6640146255493165
40th percentile: 1.7161892890930175
50th percentile: 1.7683639526367188
60th percentile: 1.8050321578979491
70th percentile: 1.8417003631591797
80th percentile: 1.8925832748413087
90th percentile: 1.957680892944336
95th percentile: 1.9902297019958495
99th percentile: 2.0162687492370606
mean time: 1.754547119140625
Pipeline stage StressChecker completed in 40.37s
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 1.60s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v82 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
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 7908.41s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v82 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v82 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v82 status is now torndown due to DeploymentManager action