junhua024-chai-06-full-_30622

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_30622_v2
model_name: junhua024-chai-06-full-_30622_v2
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T19:08:56+00:00
num_battles: 8314
num_wins: 4032
celo_rating: 1273.08
family_friendly_score: 0.552
family_friendly_standard_error: 0.007032723512267492
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': 0.5919496922698625, 'latency_mean': 1.6892204177379608, 'latency_p50': 1.6885234117507935, 'latency_p90': 1.8667920112609864}, {'batch_size': 3, 'throughput': 1.0670790181232284, 'latency_mean': 2.800321089029312, 'latency_p50': 2.788216233253479, 'latency_p90': 3.1404455423355104}, {'batch_size': 5, 'throughput': 1.2743859193345566, 'latency_mean': 3.9139997005462646, 'latency_p50': 3.9218838214874268, 'latency_p90': 4.347076916694641}, {'batch_size': 6, 'throughput': 1.332828092304519, 'latency_mean': 4.473345881700515, 'latency_p50': 4.515943288803101, 'latency_p90': 5.032309675216674}, {'batch_size': 8, 'throughput': 1.3902952403302922, 'latency_mean': 5.711916942596435, 'latency_p50': 5.718532562255859, 'latency_p90': 6.471955633163452}, {'batch_size': 10, 'throughput': 1.428285361676384, 'latency_mean': 6.954230146408081, 'latency_p50': 6.985517501831055, 'latency_p90': 7.7413094997406}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_30622_v2
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-17
win_ratio: 0.4849651190762569
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-v2-mkmlizer
Waiting for job on junhua024-chai-06-full-30622-v2-mkmlizer to finish
junhua024-chai-06-full-30622-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-30622-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-30622-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-30622-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-30622-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-30622-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-30622-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-30622-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-30622-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-30622-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-30622-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-30622-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-30622-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-30622-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-mkmlizer: Downloaded to shared memory in 152.192s
junhua024-chai-06-full-30622-v2-mkmlizer: Checking if junhua024/chai_06_full_02102_1925 already exists in ChaiML
junhua024-chai-06-full-30622-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphbcuvlxc, device:0
junhua024-chai-06-full-30622-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-30622-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-30622-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-30622-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v2/nvidia
junhua024-chai-06-full-30622-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v2/nvidia/config.json
junhua024-chai-06-full-30622-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v2/nvidia/special_tokens_map.json
junhua024-chai-06-full-30622-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v2/nvidia/tokenizer_config.json
junhua024-chai-06-full-30622-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v2/nvidia/tokenizer.json
junhua024-chai-06-full-30622-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v2/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-30622-v2-mkmlizer completed after 212.87s with status: succeeded
Stopping job with name junhua024-chai-06-full-30622-v2-mkmlizer
Pipeline stage MKMLizer completed in 232.95s
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-06-full-30622-v2
Waiting for inference service junhua024-chai-06-full-30622-v2 to be ready
Failed to get response for submission chaiml-20250611-retune-u_1558_v3: HTTPConnectionPool(host='chaiml-20250611-retune-u-1558-v3-predictor.tenant-chaiml-guanaco.k2.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x75104ef91250>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution'))
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-30622-v2 ready after 311.18676590919495s
Pipeline stage MKMLDeployer completed in 311.82s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2264621257781982s
Received healthy response to inference request in 1.4862632751464844s
Received healthy response to inference request in 1.6666035652160645s
Received healthy response to inference request in 1.5999932289123535s
Received healthy response to inference request in 1.5951528549194336s
5 requests
0 failed requests
5th percentile: 1.5080411911010743
10th percentile: 1.5298191070556642
20th percentile: 1.5733749389648437
30th percentile: 1.5961209297180177
40th percentile: 1.5980570793151856
50th percentile: 1.5999932289123535
60th percentile: 1.6266373634338378
70th percentile: 1.6532814979553223
80th percentile: 1.7785752773284913
90th percentile: 2.0025187015533445
95th percentile: 2.1144904136657714
99th percentile: 2.204067783355713
mean time: 1.7148950099945068
Pipeline stage StressChecker completed in 10.17s
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 0.87s
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 0.78s
Shutdown handler de-registered
junhua024-chai-06-full-_30622_v2 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 4914.70s
Shutdown handler de-registered
junhua024-chai-06-full-_30622_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_30622_v2 status is now torndown due to DeploymentManager action
Running pipeline stage MKMLModelDeleter
junhua024-chai-06-full-_30622_v2 status is now torndown due to DeploymentManager action