junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v24

model_name: junhua024-chai-1-full-066126_v24

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-14T10:05:18+00:00

num_battles: 8861

num_wins: 4308

celo_rating: 1280.4

family_friendly_score: 0.5504

family_friendly_standard_error: 0.007035052807193419

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': 0.6009569512851217, 'latency_mean': 1.6638208031654358, 'latency_p50': 1.663416862487793, 'latency_p90': 1.820510983467102}, {'batch_size': 3, 'throughput': 1.0978434210604788, 'latency_mean': 2.725583392381668, 'latency_p50': 2.7114334106445312, 'latency_p90': 2.9945706129074097}, {'batch_size': 5, 'throughput': 1.3141183470049334, 'latency_mean': 3.7775647580623626, 'latency_p50': 3.7966896295547485, 'latency_p90': 4.242429280281066}, {'batch_size': 6, 'throughput': 1.3831801164560502, 'latency_mean': 4.307463937997818, 'latency_p50': 4.267455220222473, 'latency_p90': 4.794718956947326}, {'batch_size': 8, 'throughput': 1.4433904486974165, 'latency_mean': 5.492983146905899, 'latency_p50': 5.4899232387542725, 'latency_p90': 6.204586243629455}, {'batch_size': 10, 'throughput': 1.4603436602849962, 'latency_mean': 6.791550675630569, 'latency_p50': 6.8195390701293945, 'latency_p90': 7.796781611442566}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v24

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.31

us_pacific_date: 2025-07-14

win_ratio: 0.4861753752398149

generation_params: {'temperature': 1.0, 'top_p': 1.0, '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-1-full-066126-v24-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v24-mkmlizer to finish
junhua024-chai-1-full-066126-v24-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v24-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v24-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v24-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v24-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v24-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v24-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v24-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v24-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v24-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v24-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v24-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v24-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v24-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v24-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v24-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v24-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-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-066126-v24-mkmlizer: Downloaded to shared memory in 77.492s
junhua024-chai-1-full-066126-v24-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v24-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpgqv5ytrd, device:0
junhua024-chai-1-full-066126-v24-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v24-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v24-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v24-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v24/nvidia
junhua024-chai-1-full-066126-v24-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v24/nvidia/config.json
junhua024-chai-1-full-066126-v24-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v24/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v24-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v24/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v24-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v24/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v24-mkmlizer: 
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Job junhua024-chai-1-full-066126-v24-mkmlizer completed after 137.59s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v24-mkmlizer
Pipeline stage MKMLizer completed in 138.09s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v24
Waiting for inference service junhua024-chai-1-full-066126-v24 to be ready
Inference service junhua024-chai-1-full-066126-v24 ready after 221.1627631187439s
Pipeline stage MKMLDeployer completed in 222.12s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2537965774536133s
Received healthy response to inference request in 1.638550043106079s
Received healthy response to inference request in 1.6723246574401855s
Received healthy response to inference request in 1.6079423427581787s
Received healthy response to inference request in 2.0001842975616455s
5 requests
0 failed requests
5th percentile: 1.6140638828277587
10th percentile: 1.620185422897339
20th percentile: 1.6324285030364991
30th percentile: 1.6453049659729004
40th percentile: 1.6588148117065429
50th percentile: 1.6723246574401855
60th percentile: 1.8034685134887696
70th percentile: 1.9346123695373534
80th percentile: 2.050906753540039
90th percentile: 2.152351665496826
95th percentile: 2.2030741214752196
99th percentile: 2.2436520862579346
mean time: 1.8345595836639403
Pipeline stage StressChecker completed in 11.01s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.79s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.79s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v24 status is now deployed due to DeploymentManager action
Shutdown handler registered
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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 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v24-profiler
Waiting for inference service junhua024-chai-1-full-066126-v24-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 5478.98s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v24 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v24 status is now torndown due to DeploymentManager action