junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v51

model_name: junhua024-chai-1-full-066126_v51

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T08:08:42+00:00

num_battles: 7801

num_wins: 3895

celo_rating: 1273.53

family_friendly_score: 0.5552

family_friendly_standard_error: 0.007027844050631744

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': 0.5912683260618568, 'latency_mean': 1.691146079301834, 'latency_p50': 1.672073245048523, 'latency_p90': 1.8764718770980835}, {'batch_size': 3, 'throughput': 1.068213981747609, 'latency_mean': 2.802670496702194, 'latency_p50': 2.816791534423828, 'latency_p90': 3.126160216331482}, {'batch_size': 5, 'throughput': 1.2764885851190693, 'latency_mean': 3.9018469858169555, 'latency_p50': 3.876902461051941, 'latency_p90': 4.321772003173828}, {'batch_size': 6, 'throughput': 1.333559208027339, 'latency_mean': 4.470532073974609, 'latency_p50': 4.445914626121521, 'latency_p90': 4.994393229484558}, {'batch_size': 8, 'throughput': 1.3910685313438935, 'latency_mean': 5.721547800302505, 'latency_p50': 5.726662755012512, 'latency_p90': 6.406303787231445}, {'batch_size': 10, 'throughput': 1.4139453164291849, 'latency_mean': 7.008286403417587, 'latency_p50': 7.038652658462524, 'latency_p90': 7.931451106071472}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v51

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.25

us_pacific_date: 2025-07-15

win_ratio: 0.49929496218433533

generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 12, '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-v51-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v51-mkmlizer to finish
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junhua024-chai-1-full-066126-v51-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v51-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v51-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v51-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v51-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v51-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v51-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v51-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v51-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v51-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v51-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v51-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v51-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v51-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v51-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v51-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-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-v51-mkmlizer: Downloaded to shared memory in 81.848s
junhua024-chai-1-full-066126-v51-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v51-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1lqhnv92, device:0
junhua024-chai-1-full-066126-v51-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v51-mkmlizer: quantized model in 31.905s
junhua024-chai-1-full-066126-v51-mkmlizer: Processed model junhua024/chai-1-full-066126 in 113.846s
junhua024-chai-1-full-066126-v51-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v51-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v51-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v51/nvidia
junhua024-chai-1-full-066126-v51-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v51/nvidia/config.json
junhua024-chai-1-full-066126-v51-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v51/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v51-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v51/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v51-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v51/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v51-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v51/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v51-mkmlizer completed after 138.65s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v51-mkmlizer
Pipeline stage MKMLizer completed in 139.32s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v51
Waiting for inference service junhua024-chai-1-full-066126-v51 to be ready
Inference service junhua024-chai-1-full-066126-v51 ready after 231.69861841201782s
Pipeline stage MKMLDeployer completed in 232.16s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6518938541412354s
Received healthy response to inference request in 1.7873492240905762s
Received healthy response to inference request in 1.970118761062622s
Received healthy response to inference request in 1.6758480072021484s
Received healthy response to inference request in 1.9084901809692383s
5 requests
0 failed requests
5th percentile: 1.698148250579834
10th percentile: 1.7204484939575195
20th percentile: 1.7650489807128906
30th percentile: 1.8115774154663087
40th percentile: 1.8600337982177735
50th percentile: 1.9084901809692383
60th percentile: 1.9331416130065917
70th percentile: 1.9577930450439454
80th percentile: 2.106473779678345
90th percentile: 2.37918381690979
95th percentile: 2.5155388355255126
99th percentile: 2.6246228504180906
mean time: 1.998740005493164
Pipeline stage StressChecker completed in 11.91s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.69s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.84s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v51 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 3257.42s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v51 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v51 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v51 status is now torndown due to DeploymentManager action