junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v99

model_name: junhua024-chai-1-full-066126_v99

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-16T04:07:50+00:00

num_battles: 7060

num_wins: 3392

celo_rating: 1270.4

family_friendly_score: 0.5529999999999999

family_friendly_standard_error: 0.0070312303333058285

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': 0.5957058005369278, 'latency_mean': 1.678570764064789, 'latency_p50': 1.6760694980621338, 'latency_p90': 1.8411556243896485}, {'batch_size': 3, 'throughput': 1.0634693323366486, 'latency_mean': 2.802126420736313, 'latency_p50': 2.8173701763153076, 'latency_p90': 3.066420316696167}, {'batch_size': 5, 'throughput': 1.283990947779082, 'latency_mean': 3.8829039084911345, 'latency_p50': 3.882798433303833, 'latency_p90': 4.261093330383301}, {'batch_size': 6, 'throughput': 1.3316495716901966, 'latency_mean': 4.478854707479477, 'latency_p50': 4.509634256362915, 'latency_p90': 4.982679033279419}, {'batch_size': 8, 'throughput': 1.3965698408801257, 'latency_mean': 5.684180746078491, 'latency_p50': 5.724569201469421, 'latency_p90': 6.346441721916198}, {'batch_size': 10, 'throughput': 1.442260870896411, 'latency_mean': 6.870660786628723, 'latency_p50': 6.941742300987244, 'latency_p90': 7.721462988853454}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v99

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.26

us_pacific_date: 2025-07-15

win_ratio: 0.4804532577903683

generation_params: {'temperature': 1.0, 'top_p': 0.8, '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
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Running pipeline stage MKMLizer
Starting job with name junhua024-chai-1-full-066126-v99-mkmlizer
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junhua024-chai-1-full-066126-v99-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v99-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v99-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v99-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v99-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v99-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v99-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v99-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v99-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v99-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v99-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v99-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v99-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v99-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v99-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v99-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-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-v99-mkmlizer: Downloaded to shared memory in 78.303s
junhua024-chai-1-full-066126-v99-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v99-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp66xqtapg, device:0
junhua024-chai-1-full-066126-v99-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v99-mkmlizer: quantized model in 30.730s
junhua024-chai-1-full-066126-v99-mkmlizer: Processed model junhua024/chai-1-full-066126 in 109.127s
junhua024-chai-1-full-066126-v99-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v99-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v99/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v99-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v99/nvidia/config.json
junhua024-chai-1-full-066126-v99-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v99/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v99-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v99/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v99-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v99/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v99-mkmlizer: 
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Job junhua024-chai-1-full-066126-v99-mkmlizer completed after 139.08s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v99-mkmlizer
Pipeline stage MKMLizer completed in 139.93s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.22s
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Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v99
Waiting for inference service junhua024-chai-1-full-066126-v99 to be ready
Inference service junhua024-chai-1-full-066126-v99 ready after 261.96846079826355s
Pipeline stage MKMLDeployer completed in 262.78s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.520324945449829s
Received healthy response to inference request in 1.9976451396942139s
Received healthy response to inference request in 1.9455225467681885s
Received healthy response to inference request in 1.8477461338043213s
Received healthy response to inference request in 1.667114496231079s
5 requests
0 failed requests
5th percentile: 1.7032408237457275
10th percentile: 1.7393671512603759
20th percentile: 1.811619806289673
30th percentile: 1.8673014163970947
40th percentile: 1.9064119815826417
50th percentile: 1.9455225467681885
60th percentile: 1.9663715839385987
70th percentile: 1.9872206211090089
80th percentile: 2.102181100845337
90th percentile: 2.311253023147583
95th percentile: 2.415788984298706
99th percentile: 2.4994177532196047
mean time: 1.9956706523895265
Pipeline stage StressChecker completed in 12.17s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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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 0.15s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v99-profiler
Waiting for inference service junhua024-chai-1-full-066126-v99-profiler to be ready
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3211.12s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v99 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v99 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v99 status is now torndown due to DeploymentManager action