junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v16

model_name: junhua024-chai-1-full-066126_v16

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-14T06:18:01+00:00

num_battles: 8930

num_wins: 4176

celo_rating: 1271.62

family_friendly_score: 0.5534

family_friendly_standard_error: 0.007030625007778469

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': 0.5942768403623989, 'latency_mean': 1.6825632083415984, 'latency_p50': 1.655918836593628, 'latency_p90': 1.8638214588165283}, {'batch_size': 3, 'throughput': 1.0828796315208598, 'latency_mean': 2.76080576300621, 'latency_p50': 2.747976779937744, 'latency_p90': 3.0720255613327025}, {'batch_size': 5, 'throughput': 1.3088727265675861, 'latency_mean': 3.8091113352775574, 'latency_p50': 3.8008347749710083, 'latency_p90': 4.282001733779907}, {'batch_size': 6, 'throughput': 1.3713476906659166, 'latency_mean': 4.345643738508224, 'latency_p50': 4.384599089622498, 'latency_p90': 4.886417365074157}, {'batch_size': 8, 'throughput': 1.4254005306506607, 'latency_mean': 5.591245118379593, 'latency_p50': 5.546241283416748, 'latency_p90': 6.275494027137756}, {'batch_size': 10, 'throughput': 1.4628411966023995, 'latency_mean': 6.785485609769821, 'latency_p50': 6.770895838737488, 'latency_p90': 7.7461368322372435}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v16

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.3

us_pacific_date: 2025-07-13

win_ratio: 0.4676371780515118

generation_params: {'temperature': 1.0, 'top_p': 1.0, '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': '{memory}What is 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-v16-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v16-mkmlizer to finish
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junhua024-chai-1-full-066126-v16-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v16-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v16-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v16-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v16-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v16-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v16-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v16-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v16-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v16-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v16-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v16-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v16-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v16-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v16-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v16-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-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-v16-mkmlizer: Downloaded to shared memory in 79.113s
junhua024-chai-1-full-066126-v16-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v16-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6cyehazf, device:0
junhua024-chai-1-full-066126-v16-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v16-mkmlizer: quantized model in 31.667s
junhua024-chai-1-full-066126-v16-mkmlizer: Processed model junhua024/chai-1-full-066126 in 110.871s
junhua024-chai-1-full-066126-v16-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v16-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v16-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v16/nvidia
junhua024-chai-1-full-066126-v16-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v16/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v16-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v16/nvidia/config.json
junhua024-chai-1-full-066126-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v16/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v16/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v16-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v16/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v16-mkmlizer: 
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Job junhua024-chai-1-full-066126-v16-mkmlizer completed after 137.22s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v16-mkmlizer
Pipeline stage MKMLizer completed in 137.99s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.23s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v16
Waiting for inference service junhua024-chai-1-full-066126-v16 to be ready
Inference service junhua024-chai-1-full-066126-v16 ready after 221.04378271102905s
Pipeline stage MKMLDeployer completed in 221.57s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.284816026687622s
Received healthy response to inference request in 1.6432344913482666s
Received healthy response to inference request in 1.797227144241333s
Received healthy response to inference request in 1.6883196830749512s
Received healthy response to inference request in 1.5008842945098877s
5 requests
0 failed requests
5th percentile: 1.5293543338775635
10th percentile: 1.5578243732452393
20th percentile: 1.6147644519805908
30th percentile: 1.6522515296936036
40th percentile: 1.6702856063842773
50th percentile: 1.6883196830749512
60th percentile: 1.731882667541504
70th percentile: 1.7754456520080566
80th percentile: 1.8947449207305909
90th percentile: 2.0897804737091064
95th percentile: 2.187298250198364
99th percentile: 2.2653124713897705
mean time: 1.7828963279724122
Pipeline stage StressChecker completed in 10.25s
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 0.69s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v16 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 3156.57s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v16 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v16 status is now torndown due to DeploymentManager action