junhua024-chai-06-full-_31646

developer_uid: junhua024

submission_id: junhua024-chai-06-full-_31646_v7

model_name: junhua024-chai-06-full-_31646_v7

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-18T13:27:14+00:00

num_battles: 6949

num_wins: 3322

celo_rating: 1276.07

family_friendly_score: 0.5549999999999999

family_friendly_standard_error: 0.007028157653325657

submission_type: basic

model_repo: junhua024/chai_06_full_02103_1925

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': 0.5943853002095568, 'latency_mean': 1.6823125660419465, 'latency_p50': 1.6890807151794434, 'latency_p90': 1.852711057662964}, {'batch_size': 3, 'throughput': 1.0826111244713381, 'latency_mean': 2.7563438272476195, 'latency_p50': 2.74306058883667, 'latency_p90': 3.0613130807876585}, {'batch_size': 5, 'throughput': 1.292170285804424, 'latency_mean': 3.851737320423126, 'latency_p50': 3.829005479812622, 'latency_p90': 4.347018432617188}, {'batch_size': 6, 'throughput': 1.3558037870463524, 'latency_mean': 4.388153215646744, 'latency_p50': 4.355619788169861, 'latency_p90': 4.88149061203003}, {'batch_size': 8, 'throughput': 1.413513330928131, 'latency_mean': 5.6179401350021365, 'latency_p50': 5.606219053268433, 'latency_p90': 6.254862546920776}, {'batch_size': 10, 'throughput': 1.452838893434464, 'latency_mean': 6.82312890291214, 'latency_p50': 6.886982440948486, 'latency_p90': 7.777376794815063}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full-_31646_v7

is_internal_developer: False

language_model: junhua024/chai_06_full_02103_1925

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-07-18

win_ratio: 0.4780543963160167

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-06-full-31646-v7-mkmlizer
Waiting for job on junhua024-chai-06-full-31646-v7-mkmlizer to finish
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junhua024-chai-06-full-31646-v7-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-31646-v7-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-31646-v7-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31646-v7-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-31646-v7-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-31646-v7-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-31646-v7-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-31646-v7-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31646-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-31646-v7-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-31646-v7-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31646-v7-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-31646-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-31646-v7-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-31646-v7-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31646-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-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-06-full-31646-v7-mkmlizer: Downloaded to shared memory in 71.842s
junhua024-chai-06-full-31646-v7-mkmlizer: Checking if junhua024/chai_06_full_02103_1925 already exists in ChaiML
junhua024-chai-06-full-31646-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpk7u_ucyd, device:0
junhua024-chai-06-full-31646-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-31646-v7-mkmlizer: quantized model in 30.839s
junhua024-chai-06-full-31646-v7-mkmlizer: Processed model junhua024/chai_06_full_02103_1925 in 102.743s
junhua024-chai-06-full-31646-v7-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-31646-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-31646-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-31646-v7/nvidia
junhua024-chai-06-full-31646-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-31646-v7/nvidia/config.json
junhua024-chai-06-full-31646-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-31646-v7/nvidia/special_tokens_map.json
junhua024-chai-06-full-31646-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-31646-v7/nvidia/tokenizer_config.json
junhua024-chai-06-full-31646-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-31646-v7/nvidia/tokenizer.json
junhua024-chai-06-full-31646-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-31646-v7/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-31646-v7-mkmlizer completed after 129.54s with status: succeeded
Stopping job with name junhua024-chai-06-full-31646-v7-mkmlizer
Pipeline stage MKMLizer completed in 130.10s
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-06-full-31646-v7
Waiting for inference service junhua024-chai-06-full-31646-v7 to be ready
Failed to get response for submission chaiml-bat-boys-azeril-_87348_v1: ('http://chaiml-bat-boys-azeril-87348-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Unable to record family friendly update due to error: Invalid JSON input: JSON must contain 'User Safety' and 'Response Safety' fields
Inference service junhua024-chai-06-full-31646-v7 ready after 321.4782977104187s
Pipeline stage MKMLDeployer completed in 322.02s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7353475093841553s
Received healthy response to inference request in 2.1811580657958984s
Received healthy response to inference request in 1.5809342861175537s
Received healthy response to inference request in 1.6051812171936035s
Received healthy response to inference request in 1.8716678619384766s
5 requests
0 failed requests
5th percentile: 1.5857836723327636
10th percentile: 1.5906330585479735
20th percentile: 1.6003318309783936
30th percentile: 1.6584785461425782
40th percentile: 1.7650732040405273
50th percentile: 1.8716678619384766
60th percentile: 1.9954639434814454
70th percentile: 2.119260025024414
80th percentile: 2.29199595451355
90th percentile: 2.5136717319488526
95th percentile: 2.6245096206665037
99th percentile: 2.713179931640625
mean time: 1.9948577880859375
Pipeline stage StressChecker completed in 11.88s
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 0.77s
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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 0.72s
Shutdown handler de-registered
junhua024-chai-06-full-_31646_v7 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 4754.14s
Shutdown handler de-registered
junhua024-chai-06-full-_31646_v7 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_31646_v7 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_31646_v7 status is now torndown due to DeploymentManager action