junhua024-chai-16-full-_68541

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_68541_v2
model_name: junhua024-chai-16-full-_68541_v2
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T12:53:40+00:00
num_battles: 6325
num_wins: 2982
celo_rating: 1265.67
family_friendly_score: 0.5544
family_friendly_standard_error: 0.0070290915486995904
submission_type: basic
model_repo: junhua024/chai_16_full_102_ffn_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': 0.6057637769768028, 'latency_mean': 1.6507044112682343, 'latency_p50': 1.6523497104644775, 'latency_p90': 1.822018527984619}, {'batch_size': 3, 'throughput': 1.093218048213891, 'latency_mean': 2.734417176246643, 'latency_p50': 2.7242910861968994, 'latency_p90': 2.999465560913086}, {'batch_size': 5, 'throughput': 1.3008631868622527, 'latency_mean': 3.820756787061691, 'latency_p50': 3.823861002922058, 'latency_p90': 4.333673667907715}, {'batch_size': 6, 'throughput': 1.3803229417824665, 'latency_mean': 4.312844939231873, 'latency_p50': 4.337494134902954, 'latency_p90': 4.844123220443725}, {'batch_size': 8, 'throughput': 1.4364773648133333, 'latency_mean': 5.534598729610443, 'latency_p50': 5.5676186084747314, 'latency_p90': 6.267365670204162}, {'batch_size': 10, 'throughput': 1.4683811484896683, 'latency_mean': 6.749196110963822, 'latency_p50': 6.80683434009552, 'latency_p90': 7.598914575576782}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_68541_v2
is_internal_developer: False
language_model: junhua024/chai_16_full_102_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-19
win_ratio: 0.4714624505928854
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-16-full-68541-v2-mkmlizer
Waiting for job on junhua024-chai-16-full-68541-v2-mkmlizer to finish
junhua024-chai-16-full-68541-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-68541-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-68541-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-68541-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-68541-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-68541-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-68541-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-68541-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-68541-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-68541-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-68541-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-68541-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-68541-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-68541-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-68541-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-68541-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-68541-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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`
Failed to get response for submission junhua024-chai-16-full-_35624_v3: HTTPConnectionPool(host='junhua024-chai-16-full-35624-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-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-16-full-68541-v2-mkmlizer: Downloaded to shared memory in 136.324s
junhua024-chai-16-full-68541-v2-mkmlizer: Checking if junhua024/chai_16_full_102_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-68541-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqlypvlzk, device:0
junhua024-chai-16-full-68541-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-68541-v2-mkmlizer: quantized model in 33.179s
junhua024-chai-16-full-68541-v2-mkmlizer: Processed model junhua024/chai_16_full_102_ffn_1925 in 169.594s
junhua024-chai-16-full-68541-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-68541-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-68541-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-68541-v2/nvidia
junhua024-chai-16-full-68541-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-68541-v2/nvidia/config.json
junhua024-chai-16-full-68541-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-68541-v2/nvidia/special_tokens_map.json
junhua024-chai-16-full-68541-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-68541-v2/nvidia/tokenizer_config.json
junhua024-chai-16-full-68541-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-68541-v2/nvidia/tokenizer.json
junhua024-chai-16-full-68541-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-68541-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-68541-v2-mkmlizer: 
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Failed to get response for submission junhua024-chai-16-full-_35624_v1: HTTPConnectionPool(host='junhua024-chai-16-full-35624-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Job junhua024-chai-16-full-68541-v2-mkmlizer completed after 202.23s with status: succeeded
Stopping job with name junhua024-chai-16-full-68541-v2-mkmlizer
Pipeline stage MKMLizer completed in 202.74s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
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Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-16-full-68541-v2
Waiting for inference service junhua024-chai-16-full-68541-v2 to be ready
Inference service junhua024-chai-16-full-68541-v2 ready after 332.0976765155792s
Pipeline stage MKMLDeployer completed in 333.01s
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 2.459803819656372s
Received healthy response to inference request in 1.8160054683685303s
Received healthy response to inference request in 1.7903103828430176s
Received healthy response to inference request in 1.853203296661377s
5 requests
1 failed requests
5th percentile: 1.79544939994812
10th percentile: 1.8005884170532227
20th percentile: 1.8108664512634278
30th percentile: 1.8234450340270996
40th percentile: 1.8383241653442384
50th percentile: 1.853203296661377
60th percentile: 2.095843505859375
70th percentile: 2.338483715057373
80th percentile: 5.995829820632938
90th percentile: 13.067881822586061
95th percentile: 16.60390782356262
99th percentile: 19.43272862434387
mean time: 5.611851358413697
%s, retrying in %s seconds...
Received healthy response to inference request in 1.8009960651397705s
Received healthy response to inference request in 1.7895839214324951s
Received healthy response to inference request in 1.922121286392212s
Received healthy response to inference request in 2.049304962158203s
Received healthy response to inference request in 1.6571340560913086s
5 requests
0 failed requests
5th percentile: 1.683624029159546
10th percentile: 1.7101140022277832
20th percentile: 1.7630939483642578
30th percentile: 1.7918663501739502
40th percentile: 1.7964312076568603
50th percentile: 1.8009960651397705
60th percentile: 1.8494461536407472
70th percentile: 1.8978962421417236
80th percentile: 1.9475580215454102
90th percentile: 1.9984314918518067
95th percentile: 2.023868227005005
99th percentile: 2.0442176151275633
mean time: 1.843828058242798
Pipeline stage StressChecker completed in 40.26s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.86s
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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 0.78s
Shutdown handler de-registered
junhua024-chai-16-full-_68541_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
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 4827.05s
Shutdown handler de-registered
junhua024-chai-16-full-_68541_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_68541_v2 status is now torndown due to DeploymentManager action