junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v52
model_name: junhua024-chai-1-full-066126_v52
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T08:09:09+00:00
num_battles: 7002
num_wins: 3488
celo_rating: 1277.72
family_friendly_score: 0.5568
family_friendly_standard_error: 0.007025293730514049
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': 0.5952731188288714, 'latency_mean': 1.6797107899188994, 'latency_p50': 1.6746262311935425, 'latency_p90': 1.8429757833480835}, {'batch_size': 3, 'throughput': 1.0899898835922033, 'latency_mean': 2.7491088795661924, 'latency_p50': 2.770400047302246, 'latency_p90': 3.0424512386322022}, {'batch_size': 5, 'throughput': 1.3186445427270292, 'latency_mean': 3.7721765279769897, 'latency_p50': 3.7872718572616577, 'latency_p90': 4.210658740997315}, {'batch_size': 6, 'throughput': 1.382852624358792, 'latency_mean': 4.3249161446094515, 'latency_p50': 4.338738679885864, 'latency_p90': 4.935217380523682}, {'batch_size': 8, 'throughput': 1.4437055642773302, 'latency_mean': 5.5070626926422115, 'latency_p50': 5.515652894973755, 'latency_p90': 6.21975314617157}, {'batch_size': 10, 'throughput': 1.4715363176399139, 'latency_mean': 6.731616549491882, 'latency_p50': 6.748074889183044, 'latency_p90': 7.512469983100891}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v52
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.31
us_pacific_date: 2025-07-15
win_ratio: 0.4981433876035418
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-066126-v52-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v52-mkmlizer to finish
junhua024-chai-1-full-066126-v52-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v52-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v52-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v52-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v52-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v52-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v52-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v52-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v52-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v52-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v52-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v52-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v52-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v52-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v52-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v52-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v52-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-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-v52-mkmlizer: Downloaded to shared memory in 74.344s
junhua024-chai-1-full-066126-v52-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v52-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7aisgmfh, device:0
junhua024-chai-1-full-066126-v52-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v52-mkmlizer: quantized model in 31.660s
junhua024-chai-1-full-066126-v52-mkmlizer: Processed model junhua024/chai-1-full-066126 in 106.106s
junhua024-chai-1-full-066126-v52-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v52-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v52-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v52/nvidia
junhua024-chai-1-full-066126-v52-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v52/nvidia/config.json
junhua024-chai-1-full-066126-v52-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v52/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v52-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v52/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v52-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v52/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v52-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v52/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v52-mkmlizer: 
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Job junhua024-chai-1-full-066126-v52-mkmlizer completed after 128.33s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v52-mkmlizer
Pipeline stage MKMLizer completed in 128.92s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v52
Waiting for inference service junhua024-chai-1-full-066126-v52 to be ready
Inference service junhua024-chai-1-full-066126-v52 ready after 461.86102414131165s
Pipeline stage MKMLDeployer completed in 462.71s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.399590253829956s
Received healthy response to inference request in 2.1072869300842285s
Received healthy response to inference request in 1.8469593524932861s
Received healthy response to inference request in 1.6971428394317627s
Received healthy response to inference request in 1.695115327835083s
5 requests
0 failed requests
5th percentile: 1.695520830154419
10th percentile: 1.6959263324737548
20th percentile: 1.6967373371124268
30th percentile: 1.7271061420440674
40th percentile: 1.7870327472686767
50th percentile: 1.8469593524932861
60th percentile: 1.9510903835296631
70th percentile: 2.05522141456604
80th percentile: 2.165747594833374
90th percentile: 2.282668924331665
95th percentile: 2.3411295890808104
99th percentile: 2.387898120880127
mean time: 1.9492189407348632
Pipeline stage StressChecker completed in 12.35s
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 0.95s
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 0.98s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v52 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v52-profiler
Waiting for inference service junhua024-chai-1-full-066126-v52-profiler to be ready
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 3211.12s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v52 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v52 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v52 status is now torndown due to DeploymentManager action