junhua024-chai-16-full-_99529

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_99529_v1
model_name: junhua024-chai-16-full-_99529_v1
model_group: junhua024/chai_16_full_q
status: torndown
timestamp: 2025-07-20T10:16:41+00:00
num_battles: 9275
num_wins: 4562
celo_rating: 1275.59
family_friendly_score: 0.558
family_friendly_standard_error: 0.007023332542319209
submission_type: basic
model_repo: junhua024/chai_16_full_qkv102_o106_ffn106_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': 0.603718899838555, 'latency_mean': 1.6562953567504883, 'latency_p50': 1.6482832431793213, 'latency_p90': 1.8255665302276611}, {'batch_size': 3, 'throughput': 1.0874668781409147, 'latency_mean': 2.749305135011673, 'latency_p50': 2.755383610725403, 'latency_p90': 3.0689496278762816}, {'batch_size': 5, 'throughput': 1.2841007538908444, 'latency_mean': 3.8743687319755553, 'latency_p50': 3.9098875522613525, 'latency_p90': 4.348907899856568}, {'batch_size': 6, 'throughput': 1.3681840574963477, 'latency_mean': 4.354896525144577, 'latency_p50': 4.32838237285614, 'latency_p90': 4.938201522827148}, {'batch_size': 8, 'throughput': 1.4246084602325384, 'latency_mean': 5.571006022691726, 'latency_p50': 5.612179636955261, 'latency_p90': 6.351576900482177}, {'batch_size': 10, 'throughput': 1.4432878569109342, 'latency_mean': 6.867980880737305, 'latency_p50': 6.8568562269210815, 'latency_p90': 7.776195597648621}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_99529_v1
is_internal_developer: False
language_model: junhua024/chai_16_full_qkv102_o106_ffn106_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-20
win_ratio: 0.4918598382749326
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-99529-v1-mkmlizer
Waiting for job on junhua024-chai-16-full-99529-v1-mkmlizer to finish
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junhua024-chai-16-full-99529-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-99529-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-99529-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-99529-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-99529-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-99529-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-99529-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-99529-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-99529-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-99529-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-99529-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-99529-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-99529-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-99529-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-99529-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-99529-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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-16-full-99529-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`
Failed to get response for submission junhua024-chai-16-full-_96988_v4: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-99529-v1-mkmlizer: Downloaded to shared memory in 119.837s
junhua024-chai-16-full-99529-v1-mkmlizer: Checking if junhua024/chai_16_full_qkv102_o106_ffn106_1925 already exists in ChaiML
junhua024-chai-16-full-99529-v1-mkmlizer: Creating repo ChaiML/chai_16_full_qkv102_o106_ffn106_1925 and uploading /tmp/tmpjc04fl3a to it
junhua024-chai-16-full-99529-v1-mkmlizer: 
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junhua024-chai-16-full-99529-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjc04fl3a, device:0
junhua024-chai-16-full-99529-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-99529-v1-mkmlizer: quantized model in 31.580s
junhua024-chai-16-full-99529-v1-mkmlizer: Processed model junhua024/chai_16_full_qkv102_o106_ffn106_1925 in 227.862s
junhua024-chai-16-full-99529-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-99529-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-99529-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-99529-v1/nvidia
junhua024-chai-16-full-99529-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-99529-v1/nvidia/config.json
junhua024-chai-16-full-99529-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-99529-v1/nvidia/special_tokens_map.json
junhua024-chai-16-full-99529-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-99529-v1/nvidia/tokenizer_config.json
junhua024-chai-16-full-99529-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-99529-v1/nvidia/tokenizer.json
junhua024-chai-16-full-99529-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-99529-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-16-full-99529-v1-mkmlizer completed after 255.9s with status: succeeded
Stopping job with name junhua024-chai-16-full-99529-v1-mkmlizer
Pipeline stage MKMLizer completed in 256.46s
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-16-full-99529-v1
Waiting for inference service junhua024-chai-16-full-99529-v1 to be ready
Unable to record family friendly update due to error: Invalid JSON input: JSON must contain 'User Safety' and 'Response Safety' fields
Failed to get response for submission junhua024-chai-16-full-_96988_v4: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_96988_v4: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_96988_v1: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-16-full-99529-v1 ready after 322.256982088089s
Pipeline stage MKMLDeployer completed in 322.82s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.409602403640747s
Received healthy response to inference request in 1.638422966003418s
Received healthy response to inference request in 2.0220377445220947s
Received healthy response to inference request in 1.6284189224243164s
Received healthy response to inference request in 1.6735122203826904s
5 requests
0 failed requests
5th percentile: 1.6304197311401367
10th percentile: 1.632420539855957
20th percentile: 1.6364221572875977
30th percentile: 1.6454408168792725
40th percentile: 1.6594765186309814
50th percentile: 1.6735122203826904
60th percentile: 1.812922430038452
70th percentile: 1.9523326396942138
80th percentile: 2.0995506763458254
90th percentile: 2.254576539993286
95th percentile: 2.3320894718170164
99th percentile: 2.394099817276001
mean time: 1.8743988513946532
Pipeline stage StressChecker completed in 10.80s
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 0.72s
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 0.80s
Shutdown handler de-registered
junhua024-chai-16-full-_99529_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 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-16-full-99529-v1-profiler
Waiting for inference service junhua024-chai-16-full-99529-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5024.82s
Shutdown handler de-registered
junhua024-chai-16-full-_99529_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_99529_v1 status is now torndown due to DeploymentManager action