junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v72

model_name: junhua024-chai-1-full-066126_v72

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T15:45:25+00:00

num_battles: 8000

num_wins: 4068

celo_rating: 1278.21

family_friendly_score: 0.5568

family_friendly_standard_error: 0.007025293730514049

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': 0.5959018632046769, 'latency_mean': 1.677949026823044, 'latency_p50': 1.6733282804489136, 'latency_p90': 1.8499866247177124}, {'batch_size': 3, 'throughput': 1.0740655490749962, 'latency_mean': 2.779369193315506, 'latency_p50': 2.7790088653564453, 'latency_p90': 3.0634185791015622}, {'batch_size': 5, 'throughput': 1.285915722482857, 'latency_mean': 3.867666643857956, 'latency_p50': 3.8740792274475098, 'latency_p90': 4.3618629455566404}, {'batch_size': 6, 'throughput': 1.3493264107246368, 'latency_mean': 4.42565632224083, 'latency_p50': 4.441678524017334, 'latency_p90': 4.967399072647095}, {'batch_size': 8, 'throughput': 1.410788761227422, 'latency_mean': 5.635748800039291, 'latency_p50': 5.655043125152588, 'latency_p90': 6.239199376106262}, {'batch_size': 10, 'throughput': 1.4488268550846526, 'latency_mean': 6.842112404108048, 'latency_p50': 6.868521332740784, 'latency_p90': 7.720646214485169}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v72

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.27

us_pacific_date: 2025-07-15

win_ratio: 0.5085

generation_params: {'temperature': 1.0, 'top_p': 0.9, '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': '{memory} What nuanced feelings lie behind these words?', '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-v72-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v72-mkmlizer to finish
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junhua024-chai-1-full-066126-v72-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v72-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v72-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v72-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v72-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v72-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v72-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v72-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v72-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v72-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v72-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v72-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v72-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v72-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v72-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v72-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-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-v72-mkmlizer: Downloaded to shared memory in 74.029s
junhua024-chai-1-full-066126-v72-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v72-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpb_bcq_g2, device:0
junhua024-chai-1-full-066126-v72-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v72-mkmlizer: quantized model in 32.073s
junhua024-chai-1-full-066126-v72-mkmlizer: Processed model junhua024/chai-1-full-066126 in 106.175s
junhua024-chai-1-full-066126-v72-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v72-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v72-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v72/nvidia
junhua024-chai-1-full-066126-v72-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v72/nvidia/config.json
junhua024-chai-1-full-066126-v72-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v72/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v72-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v72/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v72-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v72/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v72-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v72/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v72-mkmlizer: 
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Job junhua024-chai-1-full-066126-v72-mkmlizer completed after 131.81s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v72-mkmlizer
Pipeline stage MKMLizer completed in 132.40s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v72
Waiting for inference service junhua024-chai-1-full-066126-v72 to be ready
Inference service junhua024-chai-1-full-066126-v72 ready after 251.02919840812683s
Pipeline stage MKMLDeployer completed in 251.53s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.673798084259033s
Received healthy response to inference request in 1.4694957733154297s
Received healthy response to inference request in 1.67356276512146s
Received healthy response to inference request in 1.6930615901947021s
Received healthy response to inference request in 1.8700120449066162s
5 requests
0 failed requests
5th percentile: 1.5103091716766357
10th percentile: 1.5511225700378417
20th percentile: 1.632749366760254
30th percentile: 1.6774625301361084
40th percentile: 1.6852620601654054
50th percentile: 1.6930615901947021
60th percentile: 1.7638417720794677
70th percentile: 1.8346219539642334
80th percentile: 2.0307692527771
90th percentile: 2.3522836685180666
95th percentile: 2.5130408763885494
99th percentile: 2.6416466426849365
mean time: 1.8759860515594482
Pipeline stage StressChecker completed in 11.34s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 1.03s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.73s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v72 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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v72-profiler
Waiting for inference service junhua024-chai-1-full-066126-v72-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 7711.51s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v72 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v72 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v72 status is now torndown due to DeploymentManager action