junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v23
model_name: junhua024-chai-1-full-066126_v23
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-14T09:11:01+00:00
num_battles: 11249
num_wins: 5432
celo_rating: 1273.2
family_friendly_score: 0.5494
family_friendly_standard_error: 0.007036471274722863
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': 0.5950419502898062, 'latency_mean': 1.680409039258957, 'latency_p50': 1.6774795055389404, 'latency_p90': 1.8448338031768798}, {'batch_size': 3, 'throughput': 1.0809319300008704, 'latency_mean': 2.7705910241603853, 'latency_p50': 2.75836980342865, 'latency_p90': 3.0524678468704223}, {'batch_size': 5, 'throughput': 1.2940728926379494, 'latency_mean': 3.8503680539131167, 'latency_p50': 3.8386690616607666, 'latency_p90': 4.234150195121765}, {'batch_size': 6, 'throughput': 1.3604122523606206, 'latency_mean': 4.386662296056747, 'latency_p50': 4.360616326332092, 'latency_p90': 4.8861003637313845}, {'batch_size': 8, 'throughput': 1.4253212176195287, 'latency_mean': 5.575047050714493, 'latency_p50': 5.531364798545837, 'latency_p90': 6.226916790008545}, {'batch_size': 10, 'throughput': 1.437432212175375, 'latency_mean': 6.882665917873383, 'latency_p50': 6.8587846755981445, 'latency_p90': 7.861056995391846}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v23
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-14
win_ratio: 0.48288736776602365
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 11, '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-v23-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v23-mkmlizer to finish
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junhua024-chai-1-full-066126-v23-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v23-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v23-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v23-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v23-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v23-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v23-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v23-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v23-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v23-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v23-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v23-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v23-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v23-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v23-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v23-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-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-v23-mkmlizer: Downloaded to shared memory in 80.210s
junhua024-chai-1-full-066126-v23-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v23-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpc2hk6rqo, device:0
junhua024-chai-1-full-066126-v23-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v23-mkmlizer: quantized model in 40.501s
junhua024-chai-1-full-066126-v23-mkmlizer: Processed model junhua024/chai-1-full-066126 in 120.796s
junhua024-chai-1-full-066126-v23-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v23-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v23-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v23/nvidia
junhua024-chai-1-full-066126-v23-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v23/nvidia/config.json
junhua024-chai-1-full-066126-v23-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v23/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v23/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v23/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v23-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v23/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v23-mkmlizer completed after 150.11s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v23-mkmlizer
Pipeline stage MKMLizer completed in 151.31s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v23
Waiting for inference service junhua024-chai-1-full-066126-v23 to be ready
Inference service junhua024-chai-1-full-066126-v23 ready after 231.03023982048035s
Pipeline stage MKMLDeployer completed in 231.60s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.492842674255371s
Received healthy response to inference request in 1.529815673828125s
Received healthy response to inference request in 1.561060905456543s
Received healthy response to inference request in 1.601121187210083s
Received healthy response to inference request in 1.548401117324829s
5 requests
0 failed requests
5th percentile: 1.5335327625274657
10th percentile: 1.5372498512268067
20th percentile: 1.5446840286254884
30th percentile: 1.5509330749511718
40th percentile: 1.5559969902038575
50th percentile: 1.561060905456543
60th percentile: 1.577085018157959
70th percentile: 1.593109130859375
80th percentile: 1.779465484619141
90th percentile: 2.1361540794372558
95th percentile: 2.314498376846313
99th percentile: 2.4571738147735593
mean time: 1.7466483116149902
Pipeline stage StressChecker completed in 10.10s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.80s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.05s
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junhua024-chai-1-full-066126_v23 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
Pipeline stage MKMLProfilerDeleter completed in 0.13s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v23-profiler
Waiting for inference service junhua024-chai-1-full-066126-v23-profiler to be ready
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3132.43s
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junhua024-chai-1-full-066126_v23 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v23 status is now torndown due to DeploymentManager action