junhua024-chai-06-full_71610

developer_uid: junhua024
submission_id: junhua024-chai-06-full_71610_v11
model_name: junhua024-chai-06-full_71610_v11
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T02:01:09+00:00
num_battles: 7856
num_wins: 3976
celo_rating: 1285.58
family_friendly_score: 0.5509999999999999
family_friendly_standard_error: 0.007034187941759872
submission_type: basic
model_repo: junhua024/chai_06_full_02102_1619_2024
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': 0.5953166513649275, 'latency_mean': 1.6796520829200745, 'latency_p50': 1.67500638961792, 'latency_p90': 1.8494720935821534}, {'batch_size': 3, 'throughput': 1.070149687985696, 'latency_mean': 2.8019402730464935, 'latency_p50': 2.804526448249817, 'latency_p90': 3.111927318572998}, {'batch_size': 5, 'throughput': 1.2741488520706103, 'latency_mean': 3.900950185060501, 'latency_p50': 3.9296553134918213, 'latency_p90': 4.38132643699646}, {'batch_size': 6, 'throughput': 1.352116469666497, 'latency_mean': 4.413139756917953, 'latency_p50': 4.400317072868347, 'latency_p90': 4.920113968849182}, {'batch_size': 8, 'throughput': 1.3986912570136518, 'latency_mean': 5.678249905109405, 'latency_p50': 5.72902774810791, 'latency_p90': 6.367287707328797}, {'batch_size': 10, 'throughput': 1.430766510143036, 'latency_mean': 6.936547176837921, 'latency_p50': 6.909117221832275, 'latency_p90': 7.84199857711792}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full_71610_v11
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1619_2024
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-17
win_ratio: 0.5061099796334012
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-71610-v11-mkmlizer
Waiting for job on junhua024-chai-06-full-71610-v11-mkmlizer to finish
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junhua024-chai-06-full-71610-v11-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-71610-v11-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-71610-v11-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v11-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-71610-v11-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-71610-v11-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-71610-v11-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-71610-v11-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v11-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-71610-v11-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-71610-v11-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v11-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-71610-v11-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-71610-v11-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-71610-v11-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v11-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-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-71610-v11-mkmlizer: Downloaded to shared memory in 78.845s
junhua024-chai-06-full-71610-v11-mkmlizer: Checking if junhua024/chai_06_full_02102_1619_2024 already exists in ChaiML
junhua024-chai-06-full-71610-v11-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0imf2can, device:0
junhua024-chai-06-full-71610-v11-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-71610-v11-mkmlizer: quantized model in 32.055s
junhua024-chai-06-full-71610-v11-mkmlizer: Processed model junhua024/chai_06_full_02102_1619_2024 in 110.988s
junhua024-chai-06-full-71610-v11-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-71610-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v11/nvidia/tokenizer_config.json
junhua024-chai-06-full-71610-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v11/nvidia/tokenizer.json
junhua024-chai-06-full-71610-v11-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v11/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-71610-v11-mkmlizer: 
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Job junhua024-chai-06-full-71610-v11-mkmlizer completed after 130.77s with status: succeeded
Stopping job with name junhua024-chai-06-full-71610-v11-mkmlizer
Pipeline stage MKMLizer completed in 131.52s
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-06-full-71610-v11
Waiting for inference service junhua024-chai-06-full-71610-v11 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-71610-v11 ready after 312.3243501186371s
Pipeline stage MKMLDeployer completed in 313.32s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.48573899269104s
Received healthy response to inference request in 1.556060552597046s
Received healthy response to inference request in 1.8550138473510742s
Received healthy response to inference request in 1.7066211700439453s
Received healthy response to inference request in 1.7515854835510254s
5 requests
0 failed requests
5th percentile: 1.5861726760864259
10th percentile: 1.6162847995758056
20th percentile: 1.6765090465545653
30th percentile: 1.7156140327453613
40th percentile: 1.7335997581481934
50th percentile: 1.7515854835510254
60th percentile: 1.792956829071045
70th percentile: 1.8343281745910645
80th percentile: 1.9811588764190675
90th percentile: 2.233448934555054
95th percentile: 2.359593963623047
99th percentile: 2.4605099868774416
mean time: 1.871004009246826
Pipeline stage StressChecker completed in 10.95s
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 0.97s
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 0.82s
Shutdown handler de-registered
junhua024-chai-06-full_71610_v11 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 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-71610-v11-profiler
Waiting for inference service junhua024-chai-06-full-71610-v11-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 5513.19s
Shutdown handler de-registered
junhua024-chai-06-full_71610_v11 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full_71610_v11 status is now torndown due to DeploymentManager action
junhua024-chai-06-full_71610_v11 status is now torndown due to DeploymentManager action