junhua024-chai-16-full-_99529

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_99529_v3
model_name: junhua024-chai-16-full-_99529_v3
model_group: junhua024/chai_16_full_q
status: torndown
timestamp: 2025-07-20T10:17:41+00:00
num_battles: 8950
num_wins: 4483
celo_rating: 1278.9
family_friendly_score: 0.5532
family_friendly_standard_error: 0.0070309282459715084
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': 0.598026903344472, 'latency_mean': 1.6719883513450622, 'latency_p50': 1.6687878370285034, 'latency_p90': 1.8363688707351684}, {'batch_size': 3, 'throughput': 1.0860966773056593, 'latency_mean': 2.755877158641815, 'latency_p50': 2.778420567512512, 'latency_p90': 3.049036908149719}, {'batch_size': 5, 'throughput': 1.3069817707393314, 'latency_mean': 3.8139709711074827, 'latency_p50': 3.816723585128784, 'latency_p90': 4.22788016796112}, {'batch_size': 6, 'throughput': 1.3624955172915347, 'latency_mean': 4.374153144359589, 'latency_p50': 4.4244643449783325, 'latency_p90': 4.969379830360412}, {'batch_size': 8, 'throughput': 1.4120810914677844, 'latency_mean': 5.616878061294556, 'latency_p50': 5.625637054443359, 'latency_p90': 6.246589493751526}, {'batch_size': 10, 'throughput': 1.4694001296965176, 'latency_mean': 6.751489508152008, 'latency_p50': 6.810791850090027, 'latency_p90': 7.578173422813416}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_99529_v3
is_internal_developer: False
language_model: junhua024/chai_16_full_qkv102_o106_ffn106_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-20
win_ratio: 0.5008938547486034
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-v3-mkmlizer
Waiting for job on junhua024-chai-16-full-99529-v3-mkmlizer to finish
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junhua024-chai-16-full-99529-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-99529-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-99529-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-99529-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-99529-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-99529-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-99529-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-99529-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-99529-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-99529-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-99529-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-99529-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-99529-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-99529-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-99529-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-99529-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-99529-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-_94000_v4: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-99529-v3-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-v3-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-v3-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-v3-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-_94000_v4: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-99529-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-mkmlizer: quantized model in 35.417s
junhua024-chai-16-full-99529-v3-mkmlizer: Processed model junhua024/chai_16_full_qkv102_o106_ffn106_1925 in 132.740s
junhua024-chai-16-full-99529-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-99529-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-99529-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-99529-v3/nvidia
junhua024-chai-16-full-99529-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-99529-v3/nvidia/config.json
junhua024-chai-16-full-99529-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-99529-v3/nvidia/special_tokens_map.json
junhua024-chai-16-full-99529-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-99529-v3/nvidia/tokenizer_config.json
junhua024-chai-16-full-99529-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-99529-v3/nvidia/tokenizer.json
junhua024-chai-16-full-99529-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-99529-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-99529-v3-mkmlizer: 
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Job junhua024-chai-16-full-99529-v3-mkmlizer completed after 180.95s with status: succeeded
Stopping job with name junhua024-chai-16-full-99529-v3-mkmlizer
Pipeline stage MKMLizer completed in 182.05s
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-16-full-99529-v3
Waiting for inference service junhua024-chai-16-full-99529-v3 to be ready
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)
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-_94000_v4: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-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)
Inference service junhua024-chai-16-full-99529-v3 ready after 331.5183823108673s
Pipeline stage MKMLDeployer completed in 332.56s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.252812623977661s
Received healthy response to inference request in 2.1926372051239014s
Received healthy response to inference request in 2.0461983680725098s
Received healthy response to inference request in 1.5093157291412354s
Received healthy response to inference request in 1.6590354442596436s
5 requests
0 failed requests
5th percentile: 1.539259672164917
10th percentile: 1.5692036151885986
20th percentile: 1.629091501235962
30th percentile: 1.7364680290222168
40th percentile: 1.8913331985473634
50th percentile: 2.0461983680725098
60th percentile: 2.1047739028930663
70th percentile: 2.163349437713623
80th percentile: 2.4046722888946537
90th percentile: 2.8287424564361574
95th percentile: 3.040777540206909
99th percentile: 3.2104056072235108
mean time: 2.13199987411499
Pipeline stage StressChecker completed in 12.29s
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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 1.01s
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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 0.71s
Shutdown handler de-registered
junhua024-chai-16-full-_99529_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
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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-v3-profiler
Waiting for inference service junhua024-chai-16-full-99529-v3-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 5020.92s
Shutdown handler de-registered
junhua024-chai-16-full-_99529_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_99529_v3 status is now torndown due to DeploymentManager action