junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v43
model_name: junhua024-chai-1-full-066126_v43
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T05:08:07+00:00
num_battles: 9827
num_wins: 4866
celo_rating: 1285.05
family_friendly_score: 0.5534
family_friendly_standard_error: 0.007030625007778469
submission_type: basic
model_repo: junhua024/chai-1-full-066126
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': 0.5955648177110923, 'latency_mean': 1.6789259088039399, 'latency_p50': 1.679542899131775, 'latency_p90': 1.8371735095977784}, {'batch_size': 3, 'throughput': 1.0570354174496097, 'latency_mean': 2.8297318804264067, 'latency_p50': 2.847115159034729, 'latency_p90': 3.1596420288085936}, {'batch_size': 5, 'throughput': 1.2601907971153776, 'latency_mean': 3.945055738687515, 'latency_p50': 3.970112919807434, 'latency_p90': 4.383960628509521}, {'batch_size': 6, 'throughput': 1.3511658426696012, 'latency_mean': 4.418333117961883, 'latency_p50': 4.416287422180176, 'latency_p90': 5.007125782966614}, {'batch_size': 8, 'throughput': 1.3944728104949646, 'latency_mean': 5.695904895067215, 'latency_p50': 5.705699443817139, 'latency_p90': 6.364141416549683}, {'batch_size': 10, 'throughput': 1.408686965535517, 'latency_mean': 7.047509453296661, 'latency_p50': 7.0864773988723755, 'latency_p90': 7.918651962280273}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v43
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.23
us_pacific_date: 2025-07-14
win_ratio: 0.49516637834537497
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-1-full-066126-v43-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v43-mkmlizer to finish
junhua024-chai-1-full-066126-v43-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v43-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v43-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v43-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v43-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v43-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v43-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v43-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v43-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v43-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v43-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v43-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v43-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v43-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v43-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v43-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v43-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-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-1-full-066126-v43-mkmlizer: Downloaded to shared memory in 80.118s
junhua024-chai-1-full-066126-v43-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v43-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkg2vx2yi, device:0
junhua024-chai-1-full-066126-v43-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v43-mkmlizer: quantized model in 31.704s
junhua024-chai-1-full-066126-v43-mkmlizer: Processed model junhua024/chai-1-full-066126 in 111.905s
junhua024-chai-1-full-066126-v43-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v43-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v43-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v43/nvidia
junhua024-chai-1-full-066126-v43-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v43/nvidia/config.json
junhua024-chai-1-full-066126-v43-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v43/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v43-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v43/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v43-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v43/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v43-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v43/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v43-mkmlizer: 
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Job junhua024-chai-1-full-066126-v43-mkmlizer completed after 138.71s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v43-mkmlizer
Pipeline stage MKMLizer completed in 139.30s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v43
Waiting for inference service junhua024-chai-1-full-066126-v43 to be ready
Inference service junhua024-chai-1-full-066126-v43 ready after 231.11448502540588s
Pipeline stage MKMLDeployer completed in 231.57s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.1192567348480225s
Received healthy response to inference request in 1.5470924377441406s
Received healthy response to inference request in 1.776613712310791s
Received healthy response to inference request in 1.5361735820770264s
Received healthy response to inference request in 1.8691742420196533s
5 requests
0 failed requests
5th percentile: 1.5383573532104493
10th percentile: 1.540541124343872
20th percentile: 1.5449086666107177
30th percentile: 1.5929966926574708
40th percentile: 1.684805202484131
50th percentile: 1.776613712310791
60th percentile: 1.813637924194336
70th percentile: 1.8506621360778808
80th percentile: 2.1191907405853274
90th percentile: 2.619223737716675
95th percentile: 2.8692402362823484
99th percentile: 3.0692534351348875
mean time: 1.9696621417999267
Pipeline stage StressChecker completed in 11.82s
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 1.09s
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 0.72s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v43 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 0.18s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v43-profiler
Waiting for inference service junhua024-chai-1-full-066126-v43-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 3070.46s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v43 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v43 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v43 status is now torndown due to DeploymentManager action