junhua024-chai-06-full_30622

developer_uid: junhua024
submission_id: junhua024-chai-06-full_30622_v22
model_name: junhua024-chai-06-full_30622_v22
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T20:21:52+00:00
num_battles: 6449
num_wins: 3261
celo_rating: 1286.9
family_friendly_score: 0.5508
family_friendly_standard_error: 0.007034477379308288
submission_type: basic
model_repo: junhua024/chai_06_full_02102_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': 0.5969211511538633, 'latency_mean': 1.6751225507259369, 'latency_p50': 1.6796245574951172, 'latency_p90': 1.8463975191116333}, {'batch_size': 3, 'throughput': 1.0985139829142674, 'latency_mean': 2.7222718608379366, 'latency_p50': 2.71480655670166, 'latency_p90': 3.042910122871399}, {'batch_size': 5, 'throughput': 1.3129562229359162, 'latency_mean': 3.7925500404834747, 'latency_p50': 3.817762851715088, 'latency_p90': 4.233652496337891}, {'batch_size': 6, 'throughput': 1.3783128475402484, 'latency_mean': 4.320100492238998, 'latency_p50': 4.336793303489685, 'latency_p90': 4.821537017822266}, {'batch_size': 8, 'throughput': 1.4380283609415652, 'latency_mean': 5.5298577916622165, 'latency_p50': 5.49669075012207, 'latency_p90': 6.148345947265625}, {'batch_size': 10, 'throughput': 1.473553125466419, 'latency_mean': 6.712379968166351, 'latency_p50': 6.792358875274658, 'latency_p90': 7.484136128425598}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full_30622_v22
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-07-18
win_ratio: 0.5056597922158474
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-30622-v22-mkmlizer
Waiting for job on junhua024-chai-06-full-30622-v22-mkmlizer to finish
junhua024-chai-06-full-30622-v22-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-30622-v22-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-30622-v22-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-30622-v22-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v22-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-30622-v22-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-30622-v22-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-30622-v22-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-30622-v22-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v22-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-30622-v22-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-30622-v22-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v22-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-30622-v22-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-30622-v22-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-30622-v22-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v22-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-30622-v22-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 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', '')
junhua024-chai-06-full-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-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-30622-v22-mkmlizer: Downloaded to shared memory in 83.625s
junhua024-chai-06-full-30622-v22-mkmlizer: Checking if junhua024/chai_06_full_02102_1925 already exists in ChaiML
junhua024-chai-06-full-30622-v22-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpyjtkh04r, device:0
junhua024-chai-06-full-30622-v22-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-30622-v22-mkmlizer: quantized model in 34.495s
junhua024-chai-06-full-30622-v22-mkmlizer: Processed model junhua024/chai_06_full_02102_1925 in 118.198s
junhua024-chai-06-full-30622-v22-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-30622-v22-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-30622-v22-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v22/nvidia
junhua024-chai-06-full-30622-v22-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v22/nvidia/special_tokens_map.json
junhua024-chai-06-full-30622-v22-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v22/nvidia/config.json
junhua024-chai-06-full-30622-v22-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v22/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-30622-v22-mkmlizer: 
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Job junhua024-chai-06-full-30622-v22-mkmlizer completed after 139.15s with status: succeeded
Stopping job with name junhua024-chai-06-full-30622-v22-mkmlizer
Pipeline stage MKMLizer completed in 139.92s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-30622-v22
Waiting for inference service junhua024-chai-06-full-30622-v22 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', '')
Failed to get response for submission chaiml-isaac-brown-sylu_53639_v2: HTTPConnectionPool(host='chaiml-isaac-brown-sylu-53639-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-isaac-brown-sylu_53639_v2: HTTPConnectionPool(host='chaiml-isaac-brown-sylu-53639-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-30622-v22 ready after 331.3429434299469s
Pipeline stage MKMLDeployer completed in 331.99s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6355397701263428s
Received healthy response to inference request in 1.8573391437530518s
Received healthy response to inference request in 1.625678300857544s
Received healthy response to inference request in 1.8688037395477295s
Received healthy response to inference request in 2.0388801097869873s
5 requests
0 failed requests
5th percentile: 1.6720104694366456
10th percentile: 1.7183426380157472
20th percentile: 1.8110069751739502
30th percentile: 1.8596320629119873
40th percentile: 1.8642179012298583
50th percentile: 1.8688037395477295
60th percentile: 1.9368342876434326
70th percentile: 2.0048648357391357
80th percentile: 2.1582120418548585
90th percentile: 2.3968759059906004
95th percentile: 2.5162078380584716
99th percentile: 2.6116733837127684
mean time: 2.005248212814331
Pipeline stage StressChecker completed in 11.90s
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
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 0.70s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v22 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 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-30622-v22-profiler
Waiting for inference service junhua024-chai-06-full-30622-v22-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 3266.50s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v22 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full_30622_v22 status is now torndown due to DeploymentManager action
junhua024-chai-06-full_30622_v22 status is now torndown due to DeploymentManager action