junhua024-chai-06-full-_71610

developer_uid: junhua024

submission_id: junhua024-chai-06-full-_71610_v9

model_name: junhua024-chai-06-full-_71610_v9

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-17T20:30:25+00:00

num_battles: 8113

num_wins: 4001

celo_rating: 1278.41

family_friendly_score: 0.5596

family_friendly_standard_error: 0.0070206529610856

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': 0.5995204189987795, 'latency_mean': 1.6678829598426819, 'latency_p50': 1.6739972829818726, 'latency_p90': 1.8364712715148925}, {'batch_size': 3, 'throughput': 1.0787319461612788, 'latency_mean': 2.770766009092331, 'latency_p50': 2.768001437187195, 'latency_p90': 3.0704670906066895}, {'batch_size': 5, 'throughput': 1.2941899088351103, 'latency_mean': 3.835792566537857, 'latency_p50': 3.818983554840088, 'latency_p90': 4.292033576965332}, {'batch_size': 6, 'throughput': 1.3735406703054485, 'latency_mean': 4.345443474054337, 'latency_p50': 4.382000923156738, 'latency_p90': 4.898264074325562}, {'batch_size': 8, 'throughput': 1.4292782829509527, 'latency_mean': 5.550869647264481, 'latency_p50': 5.60126256942749, 'latency_p90': 6.162032914161682}, {'batch_size': 10, 'throughput': 1.4621250578809573, 'latency_mean': 6.786648854017257, 'latency_p50': 6.767245769500732, 'latency_p90': 7.598059821128845}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full-_71610_v9

is_internal_developer: False

language_model: junhua024/chai_06_full_02102_1619_2024

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-07-17

win_ratio: 0.493159127326513

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-v9-mkmlizer
Waiting for job on junhua024-chai-06-full-71610-v9-mkmlizer to finish
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junhua024-chai-06-full-71610-v9-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-71610-v9-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-71610-v9-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v9-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-71610-v9-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-71610-v9-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-71610-v9-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-71610-v9-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v9-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-71610-v9-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-71610-v9-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v9-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-71610-v9-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-71610-v9-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-71610-v9-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-71610-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-mkmlizer: Downloaded to shared memory in 82.619s
junhua024-chai-06-full-71610-v9-mkmlizer: Checking if junhua024/chai_06_full_02102_1619_2024 already exists in ChaiML
junhua024-chai-06-full-71610-v9-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpih_1cs74, device:0
junhua024-chai-06-full-71610-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-71610-v9-mkmlizer: quantized model in 31.705s
junhua024-chai-06-full-71610-v9-mkmlizer: Processed model junhua024/chai_06_full_02102_1619_2024 in 114.409s
junhua024-chai-06-full-71610-v9-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-71610-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-71610-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v9/nvidia
junhua024-chai-06-full-71610-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v9/nvidia/config.json
junhua024-chai-06-full-71610-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v9/nvidia/special_tokens_map.json
junhua024-chai-06-full-71610-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v9/nvidia/tokenizer_config.json
junhua024-chai-06-full-71610-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v9/nvidia/tokenizer.json
junhua024-chai-06-full-71610-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v9/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-71610-v9-mkmlizer: 
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Job junhua024-chai-06-full-71610-v9-mkmlizer completed after 140.37s with status: succeeded
Stopping job with name junhua024-chai-06-full-71610-v9-mkmlizer
Pipeline stage MKMLizer completed in 140.88s
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-71610-v9
Waiting for inference service junhua024-chai-06-full-71610-v9 to be ready
Inference service junhua024-chai-06-full-71610-v9 ready after 301.5141260623932s
Pipeline stage MKMLDeployer completed in 302.10s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5240015983581543s
Received healthy response to inference request in 1.9258594512939453s
Received healthy response to inference request in 2.3590290546417236s
Received healthy response to inference request in 1.9678165912628174s
Received healthy response to inference request in 1.6017003059387207s
5 requests
0 failed requests
5th percentile: 1.6665321350097657
10th percentile: 1.7313639640808105
20th percentile: 1.8610276222229003
30th percentile: 1.9342508792877198
40th percentile: 1.9510337352752685
50th percentile: 1.9678165912628174
60th percentile: 2.12430157661438
70th percentile: 2.280786561965942
80th percentile: 2.3920235633850098
90th percentile: 2.458012580871582
95th percentile: 2.491007089614868
99th percentile: 2.517402696609497
mean time: 2.0756814002990724
Pipeline stage StressChecker completed in 12.22s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.75s
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 0.79s
Shutdown handler de-registered
junhua024-chai-06-full-_71610_v9 status is now deployed due to DeploymentManager action
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 4958.58s
Shutdown handler de-registered
junhua024-chai-06-full-_71610_v9 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_71610_v9 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_71610_v9 status is now torndown due to DeploymentManager action