junhua024-chai-1-full_94469

developer_uid: junhua024

submission_id: junhua024-chai-1-full_94469_v119

model_name: junhua024-chai-1-full_94469_v119

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-17T21:29:18+00:00

num_battles: 8479

num_wins: 4097

celo_rating: 1276.7

family_friendly_score: 0.5489999999999999

family_friendly_standard_error: 0.007037030623778754

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': 0.5969087679456503, 'latency_mean': 1.6751799368858338, 'latency_p50': 1.6774353981018066, 'latency_p90': 1.836068058013916}, {'batch_size': 3, 'throughput': 1.0828577788747222, 'latency_mean': 2.763440817594528, 'latency_p50': 2.7713162899017334, 'latency_p90': 3.041357898712158}, {'batch_size': 5, 'throughput': 1.2866237801480438, 'latency_mean': 3.8662857854366304, 'latency_p50': 3.9098458290100098, 'latency_p90': 4.266395616531372}, {'batch_size': 6, 'throughput': 1.3629000066924783, 'latency_mean': 4.367923913002014, 'latency_p50': 4.3662189245224, 'latency_p90': 4.871192574501038}, {'batch_size': 8, 'throughput': 1.4270923845150203, 'latency_mean': 5.550641843080521, 'latency_p50': 5.559366583824158, 'latency_p90': 6.2070659637451175}, {'batch_size': 10, 'throughput': 1.4498446681292456, 'latency_mean': 6.838983213901519, 'latency_p50': 6.839091062545776, 'latency_p90': 7.738506746292114}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full_94469_v119

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.27

us_pacific_date: 2025-07-17

win_ratio: 0.483193772850572

generation_params: {'temperature': 1.0, 'top_p': 0.88, '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-94469-v119-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v119-mkmlizer to finish
junhua024-chai-1-full-94469-v119-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-94469-v119-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-94469-v119-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-94469-v119-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v119-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-94469-v119-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-94469-v119-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-94469-v119-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-94469-v119-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v119-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-94469-v119-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-94469-v119-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v119-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-94469-v119-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-94469-v119-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-94469-v119-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v119-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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`
Failed to get response for submission junhua024-chai-06-full-_75415_v5: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-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-94469-v119-mkmlizer: Downloaded to shared memory in 50.441s
junhua024-chai-1-full-94469-v119-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-94469-v119-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmperl0lmxd, device:0
junhua024-chai-1-full-94469-v119-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-94469-v119-mkmlizer: quantized model in 31.698s
junhua024-chai-1-full-94469-v119-mkmlizer: Processed model junhua024/chai-1-full-066126 in 82.204s
junhua024-chai-1-full-94469-v119-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v119-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v119-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v119/nvidia
junhua024-chai-1-full-94469-v119-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v119/nvidia/config.json
junhua024-chai-1-full-94469-v119-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v119/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v119-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v119/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v119-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v119/nvidia/tokenizer.json
junhua024-chai-1-full-94469-v119-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v119/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-94469-v119-mkmlizer: 
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Job junhua024-chai-1-full-94469-v119-mkmlizer completed after 108.87s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v119-mkmlizer
Pipeline stage MKMLizer completed in 109.54s
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-94469-v119
Waiting for inference service junhua024-chai-1-full-94469-v119 to be ready
Failed to get response for submission junhua024-chai-06-full-_75415_v6: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v6-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-_75415_v6: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v6-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-94469-v119 ready after 311.15207839012146s
Pipeline stage MKMLDeployer completed in 311.69s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.381247043609619s
Received healthy response to inference request in 1.5266551971435547s
Received healthy response to inference request in 1.758255958557129s
Received healthy response to inference request in 2.014519691467285s
Received healthy response to inference request in 1.8660635948181152s
5 requests
0 failed requests
5th percentile: 1.5729753494262695
10th percentile: 1.6192955017089843
20th percentile: 1.711935806274414
30th percentile: 1.779817485809326
40th percentile: 1.8229405403137207
50th percentile: 1.8660635948181152
60th percentile: 1.9254460334777832
70th percentile: 1.9848284721374512
80th percentile: 2.087865161895752
90th percentile: 2.2345561027526855
95th percentile: 2.307901573181152
99th percentile: 2.3665779495239256
mean time: 1.9093482971191407
Pipeline stage StressChecker completed in 11.18s
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 0.65s
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 0.67s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v119 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 4621.71s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v119 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full_94469_v119 status is now torndown due to DeploymentManager action
junhua024-chai-1-full_94469_v119 status is now torndown due to DeploymentManager action