junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v36

model_name: junhua024-chai-1-full-066126_v36

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-14T15:52:22+00:00

num_battles: 7506

num_wins: 3624

celo_rating: 1282.49

family_friendly_score: 0.5508

family_friendly_standard_error: 0.007034477379308288

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': 0.6027392016841491, 'latency_mean': 1.6589787018299103, 'latency_p50': 1.6521419286727905, 'latency_p90': 1.8318414688110352}, {'batch_size': 3, 'throughput': 1.088717350290271, 'latency_mean': 2.7488312470912932, 'latency_p50': 2.7420973777770996, 'latency_p90': 3.0182751178741456}, {'batch_size': 5, 'throughput': 1.308955875171673, 'latency_mean': 3.8029954278469087, 'latency_p50': 3.798310399055481, 'latency_p90': 4.296342921257019}, {'batch_size': 6, 'throughput': 1.3616606725393847, 'latency_mean': 4.382489657402038, 'latency_p50': 4.384989857673645, 'latency_p90': 4.85040237903595}, {'batch_size': 8, 'throughput': 1.4447580860933151, 'latency_mean': 5.5110372292995455, 'latency_p50': 5.543775200843811, 'latency_p90': 6.1067942619323725}, {'batch_size': 10, 'throughput': 1.4602962816925866, 'latency_mean': 6.785835393667221, 'latency_p50': 6.8796868324279785, 'latency_p90': 7.5918145179748535}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v36

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.3

us_pacific_date: 2025-07-14

win_ratio: 0.4828137490007994

generation_params: {'temperature': 1.0, 'top_p': 0.96, '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': "{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-1-full-066126-v36-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v36-mkmlizer to finish
junhua024-chai-1-full-066126-v36-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v36-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v36-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v36-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v36-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v36-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v36-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v36-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v36-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v36-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v36-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v36-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v36-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v36-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v36-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v36-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v36-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-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-v36-mkmlizer: Downloaded to shared memory in 76.445s
junhua024-chai-1-full-066126-v36-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v36-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpix7ib4zt, device:0
junhua024-chai-1-full-066126-v36-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-gy-exp162-lipo-g_57472_v2: HTTPConnectionPool(host='chaiml-gy-exp162-lipo-g-57472-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-066126-v36-mkmlizer: quantized model in 32.404s
junhua024-chai-1-full-066126-v36-mkmlizer: Processed model junhua024/chai-1-full-066126 in 108.924s
junhua024-chai-1-full-066126-v36-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v36-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v36-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v36/nvidia
junhua024-chai-1-full-066126-v36-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v36/nvidia/config.json
junhua024-chai-1-full-066126-v36-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v36/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v36-mkmlizer: 
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Job junhua024-chai-1-full-066126-v36-mkmlizer completed after 143.24s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v36-mkmlizer
Pipeline stage MKMLizer completed in 144.68s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.58s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v36
Waiting for inference service junhua024-chai-1-full-066126-v36 to be ready
Failed to get response for submission chaiml-gy-exp162-lipo-g_57472_v2: HTTPConnectionPool(host='chaiml-gy-exp162-lipo-g-57472-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-gy-exp162-lipo-g_57472_v2: HTTPConnectionPool(host='chaiml-gy-exp162-lipo-g-57472-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-066126-v36 ready after 233.60500502586365s
Pipeline stage MKMLDeployer completed in 235.01s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5907938480377197s
Received healthy response to inference request in 2.19165301322937s
Received healthy response to inference request in 1.977060317993164s
Received healthy response to inference request in 3.953805923461914s
Received healthy response to inference request in 1.9431211948394775s
5 requests
0 failed requests
5th percentile: 1.9499090194702149
10th percentile: 1.9566968441009522
20th percentile: 1.9702724933624267
30th percentile: 2.0199788570404054
40th percentile: 2.1058159351348875
50th percentile: 2.19165301322937
60th percentile: 2.35130934715271
70th percentile: 2.51096568107605
80th percentile: 2.8633962631225587
90th percentile: 3.4086010932922366
95th percentile: 3.681203508377075
99th percentile: 3.899285440444946
mean time: 2.531286859512329
Pipeline stage StressChecker completed in 16.47s
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 1.94s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.20s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v36 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 5267.25s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v36 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v36 status is now torndown due to DeploymentManager action