junhua024-chai-06-full_30622

developer_uid: junhua024
submission_id: junhua024-chai-06-full_30622_v17
model_name: junhua024-chai-06-full_30622_v17
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T13:28:18+00:00
num_battles: 6625
num_wins: 3240
celo_rating: 1282.23
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': 0.5953246570462087, 'latency_mean': 1.6795777142047883, 'latency_p50': 1.6810097694396973, 'latency_p90': 1.8454148769378662}, {'batch_size': 3, 'throughput': 1.0749084846090309, 'latency_mean': 2.7814626336097716, 'latency_p50': 2.775519013404846, 'latency_p90': 3.0444127321243286}, {'batch_size': 5, 'throughput': 1.2869346505851567, 'latency_mean': 3.86331515789032, 'latency_p50': 3.8779802322387695, 'latency_p90': 4.322175121307373}, {'batch_size': 6, 'throughput': 1.344549271437584, 'latency_mean': 4.429775115251541, 'latency_p50': 4.3970054388046265, 'latency_p90': 4.952686166763305}, {'batch_size': 8, 'throughput': 1.4172036105818302, 'latency_mean': 5.606311310529708, 'latency_p50': 5.575594663619995, 'latency_p90': 6.403627967834472}, {'batch_size': 10, 'throughput': 1.4461079799899985, 'latency_mean': 6.858354684114456, 'latency_p50': 6.941663861274719, 'latency_p90': 7.692947053909302}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full_30622_v17
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-18
win_ratio: 0.4890566037735849
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-v17-mkmlizer
Waiting for job on junhua024-chai-06-full-30622-v17-mkmlizer to finish
junhua024-chai-06-full-30622-v17-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-30622-v17-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-30622-v17-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-30622-v17-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v17-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-30622-v17-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-30622-v17-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-30622-v17-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-30622-v17-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v17-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-30622-v17-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-30622-v17-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v17-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-30622-v17-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-30622-v17-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-30622-v17-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v17-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-30622-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-mkmlizer: Downloaded to shared memory in 54.886s
junhua024-chai-06-full-30622-v17-mkmlizer: Checking if junhua024/chai_06_full_02102_1925 already exists in ChaiML
junhua024-chai-06-full-30622-v17-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp3yeazcl6, device:0
junhua024-chai-06-full-30622-v17-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-30622-v17-mkmlizer: quantized model in 31.973s
junhua024-chai-06-full-30622-v17-mkmlizer: Processed model junhua024/chai_06_full_02102_1925 in 86.915s
junhua024-chai-06-full-30622-v17-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-30622-v17-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-30622-v17-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v17/nvidia
junhua024-chai-06-full-30622-v17-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v17/nvidia/config.json
junhua024-chai-06-full-30622-v17-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v17/nvidia/special_tokens_map.json
junhua024-chai-06-full-30622-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v17/nvidia/tokenizer_config.json
junhua024-chai-06-full-30622-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v17/nvidia/tokenizer.json
junhua024-chai-06-full-30622-v17-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v17/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-30622-v17-mkmlizer completed after 202.74s with status: succeeded
Stopping job with name junhua024-chai-06-full-30622-v17-mkmlizer
Pipeline stage MKMLizer completed in 203.28s
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-06-full-30622-v17
Waiting for inference service junhua024-chai-06-full-30622-v17 to be ready
Failed to get response for submission chaiml-bat-boys-azeril-_87348_v1: ('http://chaiml-bat-boys-azeril-87348-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service junhua024-chai-06-full-30622-v17 ready after 332.09761786460876s
Pipeline stage MKMLDeployer completed in 332.91s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5388309955596924s
Received healthy response to inference request in 1.9387001991271973s
Received healthy response to inference request in 1.7254867553710938s
Received healthy response to inference request in 1.750976324081421s
Received healthy response to inference request in 1.7032911777496338s
5 requests
0 failed requests
5th percentile: 1.7077302932739258
10th percentile: 1.7121694087982178
20th percentile: 1.7210476398468018
30th percentile: 1.7305846691131592
40th percentile: 1.74078049659729
50th percentile: 1.750976324081421
60th percentile: 1.8260658740997315
70th percentile: 1.901155424118042
80th percentile: 2.0587263584136966
90th percentile: 2.2987786769866942
95th percentile: 2.418804836273193
99th percentile: 2.5148257637023925
mean time: 1.9314570903778077
Pipeline stage StressChecker completed in 11.64s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.70s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.66s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v17 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 0.15s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-30622-v17-profiler
Waiting for inference service junhua024-chai-06-full-30622-v17-profiler to be ready
Shutdown handler registered
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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 4627.12s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v17 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full_30622_v17 status is now torndown due to DeploymentManager action
junhua024-chai-06-full_30622_v17 status is now torndown due to DeploymentManager action