junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v6

model_name: junhua024-chai-1-full-066126_v6

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-06-29T20:19:10+00:00

num_battles: 6809

num_wins: 3415

celo_rating: 1275.35

family_friendly_score: 0.5496

family_friendly_standard_error: 0.007036189878051899

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': 0.603190627878219, 'latency_mean': 1.657741026878357, 'latency_p50': 1.6643102169036865, 'latency_p90': 1.8289271354675294}, {'batch_size': 3, 'throughput': 1.0981644158580959, 'latency_mean': 2.725911660194397, 'latency_p50': 2.722338914871216, 'latency_p90': 3.009066367149353}, {'batch_size': 5, 'throughput': 1.3206806622882097, 'latency_mean': 3.76803139090538, 'latency_p50': 3.777730107307434, 'latency_p90': 4.186120557785034}, {'batch_size': 6, 'throughput': 1.3756652916881738, 'latency_mean': 4.342402482032776, 'latency_p50': 4.362712621688843, 'latency_p90': 4.842721223831177}, {'batch_size': 8, 'throughput': 1.4503854492565682, 'latency_mean': 5.4708349168300625, 'latency_p50': 5.498427033424377, 'latency_p90': 6.165257382392883}, {'batch_size': 10, 'throughput': 1.487603335096882, 'latency_mean': 6.658102200031281, 'latency_p50': 6.734528541564941, 'latency_p90': 7.410698509216308}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v6

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.32

us_pacific_date: 2025-06-29

win_ratio: 0.5015420766632398

generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 20, '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': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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-v6-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v6-mkmlizer to finish
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junhua024-chai-1-full-066126-v6-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v6-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v6-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v6-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-066126-v6-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v6-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v6-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v6-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v6-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v6-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v6-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v6-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v6-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-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-v6-mkmlizer: Downloaded to shared memory in 79.122s
junhua024-chai-1-full-066126-v6-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpetfl4429, device:0
junhua024-chai-1-full-066126-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v6-mkmlizer: quantized model in 31.685s
junhua024-chai-1-full-066126-v6-mkmlizer: Processed model junhua024/chai-1-full-066126 in 110.890s
junhua024-chai-1-full-066126-v6-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v6
junhua024-chai-1-full-066126-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v6/config.json
junhua024-chai-1-full-066126-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v6/special_tokens_map.json
junhua024-chai-1-full-066126-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v6/tokenizer_config.json
junhua024-chai-1-full-066126-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v6/tokenizer.json
junhua024-chai-1-full-066126-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v6/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v6-mkmlizer completed after 137.46s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v6-mkmlizer
Pipeline stage MKMLizer completed in 137.99s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v6
Waiting for inference service junhua024-chai-1-full-066126-v6 to be ready
Inference service junhua024-chai-1-full-066126-v6 ready after 200.67380666732788s
Pipeline stage MKMLDeployer completed in 201.22s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4777941703796387s
Received healthy response to inference request in 1.6886544227600098s
Received healthy response to inference request in 1.9794209003448486s
Received healthy response to inference request in 1.8495604991912842s
Received healthy response to inference request in 1.5555152893066406s
5 requests
0 failed requests
5th percentile: 1.5821431159973145
10th percentile: 1.6087709426879884
20th percentile: 1.662026596069336
30th percentile: 1.7208356380462646
40th percentile: 1.7851980686187745
50th percentile: 1.8495604991912842
60th percentile: 1.9015046596527099
70th percentile: 1.9534488201141358
80th percentile: 2.079095554351807
90th percentile: 2.2784448623657227
95th percentile: 2.3781195163726805
99th percentile: 2.457859239578247
mean time: 1.9101890563964843
Pipeline stage StressChecker completed in 11.08s
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 0.70s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.77s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v6 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 5479.20s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v6 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v6 status is now torndown due to DeploymentManager action