junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v14

model_name: junhua024-chai-1-full-066126_v14

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-14T04:59:43+00:00

num_battles: 7309

num_wins: 3705

celo_rating: 1271.96

family_friendly_score: 0.554

family_friendly_standard_error: 0.007029708386554879

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': 0.5998111548369891, 'latency_mean': 1.6670378816127778, 'latency_p50': 1.6490325927734375, 'latency_p90': 1.8398308038711548}, {'batch_size': 3, 'throughput': 1.0836357785990698, 'latency_mean': 2.765643045902252, 'latency_p50': 2.7585569620132446, 'latency_p90': 3.0238595247268676}, {'batch_size': 5, 'throughput': 1.2893747535189037, 'latency_mean': 3.8588900887966155, 'latency_p50': 3.886682629585266, 'latency_p90': 4.239127469062805}, {'batch_size': 6, 'throughput': 1.3317554244338639, 'latency_mean': 4.46823745727539, 'latency_p50': 4.449147582054138, 'latency_p90': 4.9662422180175785}, {'batch_size': 8, 'throughput': 1.399956275398236, 'latency_mean': 5.671190061569214, 'latency_p50': 5.662721157073975, 'latency_p90': 6.372397065162659}, {'batch_size': 10, 'throughput': 1.435731946619487, 'latency_mean': 6.907164660692215, 'latency_p50': 6.889625549316406, 'latency_p90': 7.868961930274963}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v14

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.27

us_pacific_date: 2025-07-13

win_ratio: 0.5069092899165413

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 5, '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-v14-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v14-mkmlizer to finish
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junhua024-chai-1-full-066126-v14-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v14-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v14-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v14-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v14-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v14-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v14-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v14-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v14-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v14-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v14-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v14-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v14-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v14-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v14-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v14-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
junhua024-chai-1-full-066126-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-mkmlizer: Downloaded to shared memory in 75.836s
junhua024-chai-1-full-066126-v14-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v14-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1k72wm8e, device:0
junhua024-chai-1-full-066126-v14-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v14-mkmlizer: quantized model in 35.137s
junhua024-chai-1-full-066126-v14-mkmlizer: Processed model junhua024/chai-1-full-066126 in 111.065s
junhua024-chai-1-full-066126-v14-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v14-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v14-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v14/nvidia
junhua024-chai-1-full-066126-v14-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v14/nvidia/config.json
junhua024-chai-1-full-066126-v14-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v14/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v14/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v14/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v14-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v14/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v14-mkmlizer: 
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Job junhua024-chai-1-full-066126-v14-mkmlizer completed after 138.36s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v14-mkmlizer
Pipeline stage MKMLizer completed in 138.92s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.21s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v14
Waiting for inference service junhua024-chai-1-full-066126-v14 to be ready
Inference service junhua024-chai-1-full-066126-v14 ready after 221.10304284095764s
Pipeline stage MKMLDeployer completed in 221.65s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.787224292755127s
Received healthy response to inference request in 1.6149482727050781s
Received healthy response to inference request in 1.9995131492614746s
Received healthy response to inference request in 1.6932179927825928s
Received healthy response to inference request in 2.0674824714660645s
5 requests
0 failed requests
5th percentile: 1.6306022167205811
10th percentile: 1.646256160736084
20th percentile: 1.6775640487670898
30th percentile: 1.7544770240783691
40th percentile: 1.8769950866699219
50th percentile: 1.9995131492614746
60th percentile: 2.0267008781433105
70th percentile: 2.0538886070251463
80th percentile: 2.211430835723877
90th percentile: 2.499327564239502
95th percentile: 2.643275928497314
99th percentile: 2.7584346199035643
mean time: 2.0324772357940675
Pipeline stage StressChecker completed in 12.41s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.73s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.72s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v14 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3082.40s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v14 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v14 status is now torndown due to DeploymentManager action