junhua024-chai-1-full_94469

developer_uid: junhua024
submission_id: junhua024-chai-1-full_94469_v115
model_name: junhua024-chai-1-full_94469_v115
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-17T13:38:59+00:00
num_battles: 8008
num_wins: 3878
celo_rating: 1271.97
family_friendly_score: 0.5569999999999999
family_friendly_standard_error: 0.007024969750824553
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': 0.602550124216244, 'latency_mean': 1.6594834125041962, 'latency_p50': 1.658318281173706, 'latency_p90': 1.8274913549423217}, {'batch_size': 3, 'throughput': 1.0875209884570296, 'latency_mean': 2.7515592050552367, 'latency_p50': 2.7462011575698853, 'latency_p90': 3.040438747406006}, {'batch_size': 5, 'throughput': 1.3089994940166105, 'latency_mean': 3.8002862656116485, 'latency_p50': 3.813918352127075, 'latency_p90': 4.207144665718078}, {'batch_size': 6, 'throughput': 1.3703394639758109, 'latency_mean': 4.354405785799027, 'latency_p50': 4.415898680686951, 'latency_p90': 4.911546421051026}, {'batch_size': 8, 'throughput': 1.4293441181173985, 'latency_mean': 5.556787985563278, 'latency_p50': 5.580323100090027, 'latency_p90': 6.223517274856567}, {'batch_size': 10, 'throughput': 1.46324969970189, 'latency_mean': 6.782339490652085, 'latency_p50': 6.798297882080078, 'latency_p90': 7.675346755981445}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full_94469_v115
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-07-17
win_ratio: 0.48426573426573427
generation_params: {'temperature': 1.0, 'top_p': 0.875, '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': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name junhua024-chai-1-full-94469-v115-mkmlizer
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junhua024-chai-1-full-94469-v115-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-94469-v115-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-94469-v115-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v115-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-94469-v115-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-94469-v115-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-94469-v115-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-94469-v115-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v115-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-94469-v115-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-94469-v115-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v115-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-94469-v115-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-94469-v115-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-94469-v115-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v115-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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`
Retrying (%r) after connection broken by '%r': %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
junhua024-chai-1-full-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-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-94469-v115-mkmlizer: Downloaded to shared memory in 85.541s
junhua024-chai-1-full-94469-v115-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-94469-v115-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxkd67sb5, device:0
junhua024-chai-1-full-94469-v115-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-94469-v115-mkmlizer: quantized model in 37.808s
junhua024-chai-1-full-94469-v115-mkmlizer: Processed model junhua024/chai-1-full-066126 in 123.432s
junhua024-chai-1-full-94469-v115-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v115-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v115-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v115/nvidia
junhua024-chai-1-full-94469-v115-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v115/nvidia/config.json
junhua024-chai-1-full-94469-v115-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v115/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v115-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v115/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v115-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v115/nvidia/tokenizer.json
junhua024-chai-1-full-94469-v115-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v115/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-94469-v115-mkmlizer: 
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Job junhua024-chai-1-full-94469-v115-mkmlizer completed after 150.17s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v115-mkmlizer
Pipeline stage MKMLizer completed in 151.04s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-94469-v115
Waiting for inference service junhua024-chai-1-full-94469-v115 to be ready
Inference service junhua024-chai-1-full-94469-v115 ready after 301.4773871898651s
Pipeline stage MKMLDeployer completed in 302.27s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.2586491107940674s
Received healthy response to inference request in 1.6709980964660645s
Received healthy response to inference request in 1.7038936614990234s
Received healthy response to inference request in 2.3268582820892334s
Received healthy response to inference request in 1.934910774230957s
5 requests
0 failed requests
5th percentile: 1.6775772094726562
10th percentile: 1.684156322479248
20th percentile: 1.6973145484924317
30th percentile: 1.7500970840454102
40th percentile: 1.8425039291381835
50th percentile: 1.934910774230957
60th percentile: 2.0916897773742678
70th percentile: 2.248468780517578
80th percentile: 2.5132164478302004
90th percentile: 2.885932779312134
95th percentile: 3.0722909450531004
99th percentile: 3.221377477645874
mean time: 2.1790619850158692
Pipeline stage StressChecker completed in 12.78s
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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 0.76s
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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 0.77s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v115 status is now deployed due to DeploymentManager action
Shutdown handler registered
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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 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-94469-v115-profiler
Waiting for inference service junhua024-chai-1-full-94469-v115-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4593.65s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v115 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full_94469_v115 status is now torndown due to DeploymentManager action
junhua024-chai-1-full_94469_v115 status is now torndown due to DeploymentManager action