junhua024-chai-06-full-_62114

developer_uid: junhua024

submission_id: junhua024-chai-06-full-_62114_v6

model_name: junhua024-chai-06-full-_62114_v6

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-17T10:27:49+00:00

num_battles: 6106

num_wins: 3111

celo_rating: 1275.84

family_friendly_score: 0.5496

family_friendly_standard_error: 0.007036189878051899

submission_type: basic

model_repo: junhua024/chai_06_full_02102_1219

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': 0.5980531364949746, 'latency_mean': 1.6719772815704346, 'latency_p50': 1.6837871074676514, 'latency_p90': 1.8365241050720216}, {'batch_size': 3, 'throughput': 1.0839664574532595, 'latency_mean': 2.7547693181037904, 'latency_p50': 2.7556999921798706, 'latency_p90': 3.0239439010620117}, {'batch_size': 5, 'throughput': 1.3091283842111203, 'latency_mean': 3.8074844658374785, 'latency_p50': 3.816711902618408, 'latency_p90': 4.223286581039429}, {'batch_size': 6, 'throughput': 1.3591988182127044, 'latency_mean': 4.382722728252411, 'latency_p50': 4.430919051170349, 'latency_p90': 4.829014229774475}, {'batch_size': 8, 'throughput': 1.4335212004315523, 'latency_mean': 5.5425032365322116, 'latency_p50': 5.609638094902039, 'latency_p90': 6.195203828811645}, {'batch_size': 10, 'throughput': 1.4587249528729744, 'latency_mean': 6.801361825466156, 'latency_p50': 6.850139856338501, 'latency_p90': 7.622229862213135}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full-_62114_v6

is_internal_developer: False

language_model: junhua024/chai_06_full_02102_1219

model_size: 13B

ranking_group: single

throughput_3p7s: 1.3

us_pacific_date: 2025-07-17

win_ratio: 0.509498853586636

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-62114-v6-mkmlizer
Waiting for job on junhua024-chai-06-full-62114-v6-mkmlizer to finish
junhua024-chai-06-full-62114-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-62114-v6-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-62114-v6-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-62114-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-62114-v6-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-62114-v6-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-62114-v6-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-62114-v6-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-62114-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-62114-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-62114-v6-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-62114-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-62114-v6-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-62114-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-62114-v6-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-62114-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-62114-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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`
Failed to get response for submission zmeeks-capitanito-53-2000_v7: HTTPConnectionPool(host='zmeeks-capitanito-53-2000-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-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-06-full-62114-v6-mkmlizer: Downloaded to shared memory in 78.236s
junhua024-chai-06-full-62114-v6-mkmlizer: Checking if junhua024/chai_06_full_02102_1219 already exists in ChaiML
junhua024-chai-06-full-62114-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpgj_vpyej, device:0
junhua024-chai-06-full-62114-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-62114-v6-mkmlizer: quantized model in 30.837s
junhua024-chai-06-full-62114-v6-mkmlizer: Processed model junhua024/chai_06_full_02102_1219 in 109.156s
junhua024-chai-06-full-62114-v6-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-62114-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-62114-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-62114-v6/nvidia
junhua024-chai-06-full-62114-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-62114-v6/nvidia/config.json
junhua024-chai-06-full-62114-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-62114-v6/nvidia/special_tokens_map.json
junhua024-chai-06-full-62114-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-62114-v6/nvidia/tokenizer_config.json
junhua024-chai-06-full-62114-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-62114-v6/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-62114-v6-mkmlizer completed after 130.15s with status: succeeded
Stopping job with name junhua024-chai-06-full-62114-v6-mkmlizer
Pipeline stage MKMLizer completed in 130.86s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.27s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-62114-v6
Waiting for inference service junhua024-chai-06-full-62114-v6 to be ready
Failed to get response for submission zmeeks-capitanito-53-2000_v7: HTTPConnectionPool(host='zmeeks-capitanito-53-2000-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-53-2000_v7: HTTPConnectionPool(host='zmeeks-capitanito-53-2000-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-62114-v6 ready after 312.6380157470703s
Pipeline stage MKMLDeployer completed in 313.82s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3483810424804688s
Received healthy response to inference request in 1.4997844696044922s
Received healthy response to inference request in 1.8939244747161865s
Received healthy response to inference request in 1.5742440223693848s
Received healthy response to inference request in 1.6150734424591064s
5 requests
0 failed requests
5th percentile: 1.5146763801574707
10th percentile: 1.5295682907104493
20th percentile: 1.5593521118164062
30th percentile: 1.5824099063873291
40th percentile: 1.5987416744232177
50th percentile: 1.6150734424591064
60th percentile: 1.7266138553619386
70th percentile: 1.8381542682647705
80th percentile: 1.9848157882690431
90th percentile: 2.166598415374756
95th percentile: 2.257489728927612
99th percentile: 2.3302027797698974
mean time: 1.7862814903259276
Pipeline stage StressChecker completed in 10.73s
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 0.76s
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 0.86s
Shutdown handler de-registered
junhua024-chai-06-full-_62114_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 3148.39s
Shutdown handler de-registered
junhua024-chai-06-full-_62114_v6 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_62114_v6 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_62114_v6 status is now torndown due to DeploymentManager action