junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v33

model_name: junhua024-chai-1-full-066126_v33

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-14T13:21:08+00:00

num_battles: 11286

num_wins: 5503

celo_rating: 1276.23

family_friendly_score: 0.5526

family_friendly_standard_error: 0.007031831055991035

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': 0.5980659846670974, 'latency_mean': 1.6718755912780763, 'latency_p50': 1.6615238189697266, 'latency_p90': 1.8628353118896483}, {'batch_size': 3, 'throughput': 1.0754279008553136, 'latency_mean': 2.777317854166031, 'latency_p50': 2.760200023651123, 'latency_p90': 3.0555260181427}, {'batch_size': 5, 'throughput': 1.2785663828614044, 'latency_mean': 3.8888956582546235, 'latency_p50': 3.8916447162628174, 'latency_p90': 4.356501221656799}, {'batch_size': 6, 'throughput': 1.333069730537674, 'latency_mean': 4.476004976034164, 'latency_p50': 4.486282467842102, 'latency_p90': 5.070367050170899}, {'batch_size': 8, 'throughput': 1.4065317069655434, 'latency_mean': 5.6487284183502195, 'latency_p50': 5.603912591934204, 'latency_p90': 6.376783418655395}, {'batch_size': 10, 'throughput': 1.4379933737857882, 'latency_mean': 6.898631865978241, 'latency_p50': 6.885831594467163, 'latency_p90': 7.778917503356934}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v33

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.26

us_pacific_date: 2025-07-14

win_ratio: 0.48759525075314547

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 10, 'presence_penalty': 0.0, 'frequency_penalty': 0.1, '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-v33-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v33-mkmlizer to finish
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junhua024-chai-1-full-066126-v33-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v33-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v33-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v33-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v33-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v33-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v33-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v33-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v33-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v33-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v33-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v33-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v33-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v33-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v33-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v33-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-mkmlizer: Downloaded to shared memory in 77.411s
junhua024-chai-1-full-066126-v33-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v33-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsqwfoeji, device:0
junhua024-chai-1-full-066126-v33-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v33-mkmlizer: quantized model in 31.494s
junhua024-chai-1-full-066126-v33-mkmlizer: Processed model junhua024/chai-1-full-066126 in 108.986s
junhua024-chai-1-full-066126-v33-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v33-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v33/nvidia/config.json
junhua024-chai-1-full-066126-v33-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v33/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v33-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v33/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v33-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v33/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v33-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v33/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v33-mkmlizer: 
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Job junhua024-chai-1-full-066126-v33-mkmlizer completed after 138.52s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v33-mkmlizer
Pipeline stage MKMLizer completed in 139.06s
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-1-full-066126-v33
Waiting for inference service junhua024-chai-1-full-066126-v33 to be ready
Inference service junhua024-chai-1-full-066126-v33 ready after 231.71382784843445s
Pipeline stage MKMLDeployer completed in 232.27s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.295992851257324s
Received healthy response to inference request in 1.578805923461914s
Received healthy response to inference request in 1.6466827392578125s
Received healthy response to inference request in 1.8389885425567627s
Received healthy response to inference request in 1.597360610961914s
5 requests
0 failed requests
5th percentile: 1.582516860961914
10th percentile: 1.586227798461914
20th percentile: 1.593649673461914
30th percentile: 1.6072250366210938
40th percentile: 1.6269538879394532
50th percentile: 1.6466827392578125
60th percentile: 1.7236050605773925
70th percentile: 1.8005273818969727
80th percentile: 1.930389404296875
90th percentile: 2.1131911277770996
95th percentile: 2.204591989517212
99th percentile: 2.277712678909302
mean time: 1.7915661334991455
Pipeline stage StressChecker completed in 10.35s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.68s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.81s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v33 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 5846.25s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v33 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v33 status is now torndown due to DeploymentManager action