junhua024-chai-02-full-02-_40

developer_uid: junhua024
submission_id: junhua024-chai-02-full-02-_40_v1
model_name: junhua024-chai-02-full-02-_40_v1
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T12:17:18+00:00
num_battles: 6196
num_wins: 3037
celo_rating: 1278.51
family_friendly_score: 0.364
family_friendly_standard_error: 0.006804469119630127
submission_type: basic
model_repo: junhua024/chai_02_full_02_0192
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': 0.6678229941069513, 'latency_mean': 1.4972729349136353, 'latency_p50': 1.4898631572723389, 'latency_p90': 1.637018299102783}, {'batch_size': 3, 'throughput': 1.1503916471207172, 'latency_mean': 2.596792892217636, 'latency_p50': 2.608512043952942, 'latency_p90': 2.836093306541443}, {'batch_size': 5, 'throughput': 1.3408350097604451, 'latency_mean': 3.7188561999797822, 'latency_p50': 3.705582618713379, 'latency_p90': 4.135167789459229}, {'batch_size': 6, 'throughput': 1.3893965601061065, 'latency_mean': 4.302743512392044, 'latency_p50': 4.3350666761398315, 'latency_p90': 4.831025886535644}, {'batch_size': 8, 'throughput': 1.4426478388834902, 'latency_mean': 5.518471497297287, 'latency_p50': 5.526944994926453, 'latency_p90': 6.10969398021698}, {'batch_size': 10, 'throughput': 1.47948486384776, 'latency_mean': 6.711478381156922, 'latency_p50': 6.724225163459778, 'latency_p90': 7.496212291717529}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-02-_40_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_02_0192
model_size: 13B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-07-24
win_ratio: 0.49015493867010973
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, '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-02-full-02-40-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-02-40-v1-mkmlizer to finish
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junhua024-chai-02-full-02-40-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-02-40-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-02-40-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-40-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-02-40-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-02-40-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-02-40-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-02-40-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-40-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-02-40-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-02-40-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-40-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-02-40-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-02-40-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-02-40-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-40-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-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-02-full-02-40-v1-mkmlizer: Downloaded to shared memory in 124.451s
junhua024-chai-02-full-02-40-v1-mkmlizer: Checking if junhua024/chai_02_full_02_0192 already exists in ChaiML
junhua024-chai-02-full-02-40-v1-mkmlizer: Creating repo ChaiML/chai_02_full_02_0192 and uploading /tmp/tmpg_ksjmcl to it
junhua024-chai-02-full-02-40-v1-mkmlizer: 
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junhua024-chai-02-full-02-40-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpg_ksjmcl, device:0
junhua024-chai-02-full-02-40-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-02-full-02-40-v1-mkmlizer: quantized model in 166.777s
junhua024-chai-02-full-02-40-v1-mkmlizer: Processed model junhua024/chai_02_full_02_0192 in 390.559s
junhua024-chai-02-full-02-40-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-02-40-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-02-40-v1/nvidia
junhua024-chai-02-full-02-40-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-40-v1/nvidia/config.json
junhua024-chai-02-full-02-40-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-40-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-02-40-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-40-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-02-40-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-40-v1/nvidia/tokenizer.json
junhua024-chai-02-full-02-40-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-02-40-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-02-40-v1-mkmlizer completed after 409.29s with status: succeeded
Stopping job with name junhua024-chai-02-full-02-40-v1-mkmlizer
Pipeline stage MKMLizer completed in 410.36s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-02-40-v1
Waiting for inference service junhua024-chai-02-full-02-40-v1 to be ready
Inference service junhua024-chai-02-full-02-40-v1 ready after 181.40370893478394s
Pipeline stage MKMLDeployer completed in 181.90s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 3.7199885845184326s
Received healthy response to inference request in 1.498495101928711s
Received healthy response to inference request in 2.138493299484253s
Received healthy response to inference request in 2.8109240531921387s
5 requests
1 failed requests
5th percentile: 1.6264947414398194
10th percentile: 1.7544943809509277
20th percentile: 2.0104936599731444
30th percentile: 2.2729794502258303
40th percentile: 2.5419517517089845
50th percentile: 2.8109240531921387
60th percentile: 3.174549865722656
70th percentile: 3.5381756782531735
80th percentile: 7.014406204223636
90th percentile: 13.603241443634035
95th percentile: 16.89765906333923
99th percentile: 19.533193159103394
mean time: 6.071995544433594
%s, retrying in %s seconds...
Received healthy response to inference request in 1.4114668369293213s
Received healthy response to inference request in 1.609342336654663s
Received healthy response to inference request in 2.4910600185394287s
Received healthy response to inference request in 1.5288331508636475s
Received healthy response to inference request in 1.8278663158416748s
5 requests
0 failed requests
5th percentile: 1.4349400997161865
10th percentile: 1.4584133625030518
20th percentile: 1.5053598880767822
30th percentile: 1.5449349880218506
40th percentile: 1.5771386623382568
50th percentile: 1.609342336654663
60th percentile: 1.6967519283294679
70th percentile: 1.7841615200042724
80th percentile: 1.9605050563812256
90th percentile: 2.225782537460327
95th percentile: 2.3584212779998777
99th percentile: 2.4645322704315187
mean time: 1.773713731765747
Pipeline stage StressChecker completed in 42.33s
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 0.79s
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 0.88s
Shutdown handler de-registered
junhua024-chai-02-full-02-_40_v1 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 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-02-full-02-40-v1-profiler
Waiting for inference service junhua024-chai-02-full-02-40-v1-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 3180.46s
Shutdown handler de-registered
junhua024-chai-02-full-02-_40_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-02-_40_v1 status is now torndown due to DeploymentManager action