junhua024-chai-06-full-_62114

developer_uid: junhua024

submission_id: junhua024-chai-06-full-_62114_v5

model_name: junhua024-chai-06-full-_62114_v5

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-17T10:27:13+00:00

num_battles: 6027

num_wins: 3033

celo_rating: 1278.47

family_friendly_score: 0.5444

family_friendly_standard_error: 0.0070431333935969155

submission_type: basic

model_repo: junhua024/chai_06_full_02102_1219

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': 0.5907749272461258, 'latency_mean': 1.6925814473628997, 'latency_p50': 1.6995805501937866, 'latency_p90': 1.8731235265731812}, {'batch_size': 3, 'throughput': 1.0685555919987675, 'latency_mean': 2.7913402783870698, 'latency_p50': 2.8009183406829834, 'latency_p90': 3.0647472858428957}, {'batch_size': 5, 'throughput': 1.2679645791199454, 'latency_mean': 3.9289504313468933, 'latency_p50': 3.965874671936035, 'latency_p90': 4.3766635179519655}, {'batch_size': 6, 'throughput': 1.3344576920619018, 'latency_mean': 4.46866406917572, 'latency_p50': 4.492822289466858, 'latency_p90': 5.004920935630798}, {'batch_size': 8, 'throughput': 1.3957741219192141, 'latency_mean': 5.681749347448349, 'latency_p50': 5.708773851394653, 'latency_p90': 6.410204339027405}, {'batch_size': 10, 'throughput': 1.4327393692713815, 'latency_mean': 6.906130222082138, 'latency_p50': 6.83389687538147, 'latency_p90': 7.860849738121033}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full-_62114_v5

is_internal_developer: False

language_model: junhua024/chai_06_full_02102_1219

model_size: 13B

ranking_group: single

throughput_3p7s: 1.24

us_pacific_date: 2025-07-17

win_ratio: 0.5032354405176704

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-62114-v5-mkmlizer
Waiting for job on junhua024-chai-06-full-62114-v5-mkmlizer to finish
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junhua024-chai-06-full-62114-v5-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-62114-v5-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-62114-v5-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-62114-v5-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-62114-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-62114-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-62114-v5-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-62114-v5-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-62114-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-62114-v5-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-62114-v5-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-62114-v5-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-62114-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-62114-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-62114-v5-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-62114-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-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-62114-v5-mkmlizer: Downloaded to shared memory in 77.307s
junhua024-chai-06-full-62114-v5-mkmlizer: Checking if junhua024/chai_06_full_02102_1219 already exists in ChaiML
junhua024-chai-06-full-62114-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpazklqyip, device:0
junhua024-chai-06-full-62114-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-62114-v5-mkmlizer: quantized model in 31.899s
junhua024-chai-06-full-62114-v5-mkmlizer: Processed model junhua024/chai_06_full_02102_1219 in 109.290s
junhua024-chai-06-full-62114-v5-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-62114-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-62114-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-62114-v5/nvidia
junhua024-chai-06-full-62114-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-62114-v5/nvidia/special_tokens_map.json
junhua024-chai-06-full-62114-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-62114-v5/nvidia/config.json
junhua024-chai-06-full-62114-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-62114-v5/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-62114-v5-mkmlizer: 
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Job junhua024-chai-06-full-62114-v5-mkmlizer completed after 139.99s with status: succeeded
Stopping job with name junhua024-chai-06-full-62114-v5-mkmlizer
Pipeline stage MKMLizer completed in 140.87s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
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Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-62114-v5
Waiting for inference service junhua024-chai-06-full-62114-v5 to be ready
Inference service junhua024-chai-06-full-62114-v5 ready after 303.6169366836548s
Pipeline stage MKMLDeployer completed in 304.37s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.643972873687744s
Received healthy response to inference request in 1.9931447505950928s
Received healthy response to inference request in 1.9236845970153809s
Received healthy response to inference request in 3.8228824138641357s
Received healthy response to inference request in 1.9811673164367676s
5 requests
0 failed requests
5th percentile: 1.9351811408996582
10th percentile: 1.9466776847839355
20th percentile: 1.9696707725524902
30th percentile: 1.9835628032684327
40th percentile: 1.9883537769317627
50th percentile: 1.9931447505950928
60th percentile: 2.2534759998321534
70th percentile: 2.5138072490692136
80th percentile: 2.8797547817230225
90th percentile: 3.351318597793579
95th percentile: 3.5871005058288574
99th percentile: 3.7757260322570803
mean time: 2.472970390319824
Pipeline stage StressChecker completed in 14.47s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.83s
Shutdown handler de-registered
junhua024-chai-06-full-_62114_v5 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
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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-06-full-62114-v5-profiler
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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 3139.56s
Shutdown handler de-registered
junhua024-chai-06-full-_62114_v5 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_62114_v5 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_62114_v5 status is now torndown due to DeploymentManager action