junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v49

model_name: junhua024-chai-1-full-066126_v49

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T06:55:43+00:00

num_battles: 7829

num_wins: 3838

celo_rating: 1279.93

family_friendly_score: 0.5468

family_friendly_standard_error: 0.00704002499995561

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': 0.5928968763062152, 'latency_mean': 1.6865288877487183, 'latency_p50': 1.6876548528671265, 'latency_p90': 1.8552835702896118}, {'batch_size': 3, 'throughput': 1.0709046347144788, 'latency_mean': 2.7902731323242187, 'latency_p50': 2.7986624240875244, 'latency_p90': 3.0556013584136963}, {'batch_size': 5, 'throughput': 1.2842266863909466, 'latency_mean': 3.8774429631233214, 'latency_p50': 3.8737350702285767, 'latency_p90': 4.297777438163758}, {'batch_size': 6, 'throughput': 1.3457399877371674, 'latency_mean': 4.431533284187317, 'latency_p50': 4.415964841842651, 'latency_p90': 4.922908043861389}, {'batch_size': 8, 'throughput': 1.3990434771917437, 'latency_mean': 5.669422999620438, 'latency_p50': 5.664009690284729, 'latency_p90': 6.346387887001038}, {'batch_size': 10, 'throughput': 1.431886005882761, 'latency_mean': 6.93766819357872, 'latency_p50': 6.905331969261169, 'latency_p90': 7.8516275644302365}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v49

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: 0.4902286371184059

generation_params: {'temperature': 1.0, 'top_p': 0.87, '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-v49-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v49-mkmlizer to finish
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junhua024-chai-1-full-066126-v49-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v49-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v49-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v49-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v49-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v49-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v49-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v49-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v49-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v49-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v49-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v49-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v49-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v49-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v49-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v49-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-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-v49-mkmlizer: quantized model in 32.692s
junhua024-chai-1-full-066126-v49-mkmlizer: Processed model junhua024/chai-1-full-066126 in 117.923s
junhua024-chai-1-full-066126-v49-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v49-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v49-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v49/nvidia
junhua024-chai-1-full-066126-v49-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v49/nvidia/config.json
junhua024-chai-1-full-066126-v49-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v49/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v49-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v49/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v49-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v49/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v49-mkmlizer: 
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Job junhua024-chai-1-full-066126-v49-mkmlizer completed after 148.55s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v49-mkmlizer
Pipeline stage MKMLizer completed in 149.16s
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-v49
Waiting for inference service junhua024-chai-1-full-066126-v49 to be ready
Failed to get response for submission junhua024-chai-1-full-066126_v47: HTTPConnectionPool(host='junhua024-chai-1-full-066126-v47-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-1-full-066126_v47: HTTPConnectionPool(host='junhua024-chai-1-full-066126-v47-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-066126-v49 ready after 231.27516150474548s
Pipeline stage MKMLDeployer completed in 232.02s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1949074268341064s
Received healthy response to inference request in 1.6105148792266846s
Received healthy response to inference request in 1.6638147830963135s
Received healthy response to inference request in 1.964526891708374s
Received healthy response to inference request in 1.492417812347412s
5 requests
0 failed requests
5th percentile: 1.5160372257232666
10th percentile: 1.539656639099121
20th percentile: 1.58689546585083
30th percentile: 1.6211748600006104
40th percentile: 1.6424948215484618
50th percentile: 1.6638147830963135
60th percentile: 1.7840996265411377
70th percentile: 1.9043844699859618
80th percentile: 2.0106029987335203
90th percentile: 2.1027552127838134
95th percentile: 2.14883131980896
99th percentile: 2.1856922054290773
mean time: 1.7852363586425781
Pipeline stage StressChecker completed in 10.38s
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 0.72s
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 0.70s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v49 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 4468.16s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v49 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v49 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v49 status is now torndown due to DeploymentManager action