junhua024-chai-1-full-002

developer_uid: junhua024

submission_id: junhua024-chai-1-full-002_v8

model_name: junhua024-chai-1-full-002_v8

model_group: junhua024/chai_1-full_00

status: torndown

timestamp: 2025-06-29T03:28:10+00:00

num_battles: 9546

num_wins: 4437

celo_rating: 1254.17

family_friendly_score: 0.5868

family_friendly_standard_error: 0.006963702463488802

submission_type: basic

model_repo: junhua024/chai_1-full_002

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': 0.596900572221291, 'latency_mean': 1.6751437306404113, 'latency_p50': 1.679748773574829, 'latency_p90': 1.8488291263580323}, {'batch_size': 3, 'throughput': 1.0799808161519227, 'latency_mean': 2.765221073627472, 'latency_p50': 2.775970458984375, 'latency_p90': 3.1167978763580324}, {'batch_size': 5, 'throughput': 1.3022189256248335, 'latency_mean': 3.8200926291942596, 'latency_p50': 3.843035101890564, 'latency_p90': 4.240622973442077}, {'batch_size': 6, 'throughput': 1.362559185895004, 'latency_mean': 4.374817148447037, 'latency_p50': 4.385517358779907, 'latency_p90': 4.893741035461426}, {'batch_size': 8, 'throughput': 1.4225555179038665, 'latency_mean': 5.581251003742218, 'latency_p50': 5.633056282997131, 'latency_p90': 6.320855355262756}, {'batch_size': 10, 'throughput': 1.4723389269796991, 'latency_mean': 6.73492814540863, 'latency_p50': 6.737276196479797, 'latency_p90': 7.521792984008789}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-002_v8

is_internal_developer: False

language_model: junhua024/chai_1-full_002

model_size: 13B

ranking_group: single

throughput_3p7s: 1.29

us_pacific_date: 2025-06-28

win_ratio: 0.46480201131363924

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, '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-1-full-002-v8-mkmlizer
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junhua024-chai-1-full-002-v8-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-002-v8-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v8-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-002-v8-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-002-v8-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-002-v8-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-002-v8-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v8-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-002-v8-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-002-v8-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v8-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-002-v8-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-002-v8-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-002-v8-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-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-002-v8-mkmlizer: quantized model in 31.786s
junhua024-chai-1-full-002-v8-mkmlizer: Processed model junhua024/chai_1-full_002 in 110.075s
junhua024-chai-1-full-002-v8-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-002-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-002-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-002-v8
junhua024-chai-1-full-002-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v8/config.json
junhua024-chai-1-full-002-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v8/special_tokens_map.json
junhua024-chai-1-full-002-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v8/tokenizer_config.json
junhua024-chai-1-full-002-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v8/tokenizer.json
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Job junhua024-chai-1-full-002-v8-mkmlizer completed after 137.36s with status: succeeded
Stopping job with name junhua024-chai-1-full-002-v8-mkmlizer
Pipeline stage MKMLizer completed in 138.09s
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-1-full-002-v8
Waiting for inference service junhua024-chai-1-full-002-v8 to be ready
Failed to get response for submission junhua024-chai-1-full-06_v1: HTTPConnectionPool(host='junhua024-chai-1-full-06-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-002-v8 ready after 180.9257152080536s
Pipeline stage MKMLDeployer completed in 181.58s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1468873023986816s
Received healthy response to inference request in 1.830176830291748s
Received healthy response to inference request in 1.4401969909667969s
Received healthy response to inference request in 1.7237658500671387s
Received healthy response to inference request in 1.8406872749328613s
5 requests
0 failed requests
5th percentile: 1.4969107627868652
10th percentile: 1.5536245346069335
20th percentile: 1.6670520782470704
30th percentile: 1.7450480461120605
40th percentile: 1.7876124382019043
50th percentile: 1.830176830291748
60th percentile: 1.8343810081481933
70th percentile: 1.8385851860046387
80th percentile: 1.9019272804260254
90th percentile: 2.0244072914123534
95th percentile: 2.0856472969055173
99th percentile: 2.134639301300049
mean time: 1.7963428497314453
Pipeline stage StressChecker completed in 10.64s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.74s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.78s
Shutdown handler de-registered
junhua024-chai-1-full-002_v8 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 4836.97s
Shutdown handler de-registered
junhua024-chai-1-full-002_v8 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-002_v8 status is now torndown due to DeploymentManager action