junhua024-chai-06-full-_30622

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_30622_v1
model_name: junhua024-chai-06-full-_30622_v1
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T19:08:12+00:00
num_battles: 8003
num_wins: 3938
celo_rating: 1278.67
family_friendly_score: 0.5512
family_friendly_standard_error: 0.007033897354951947
submission_type: basic
model_repo: junhua024/chai_06_full_02102_1925
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': 0.5995579941121512, 'latency_mean': 1.6677523016929627, 'latency_p50': 1.6763176918029785, 'latency_p90': 1.844087338447571}, {'batch_size': 3, 'throughput': 1.0827115679062118, 'latency_mean': 2.7621264493465425, 'latency_p50': 2.76626718044281, 'latency_p90': 3.075886535644531}, {'batch_size': 5, 'throughput': 1.3034272350094995, 'latency_mean': 3.813556886911392, 'latency_p50': 3.801283836364746, 'latency_p90': 4.328636741638183}, {'batch_size': 6, 'throughput': 1.3724876598161213, 'latency_mean': 4.352024471759796, 'latency_p50': 4.343281388282776, 'latency_p90': 4.851368474960327}, {'batch_size': 8, 'throughput': 1.427810135781064, 'latency_mean': 5.56495671749115, 'latency_p50': 5.576540589332581, 'latency_p90': 6.311384582519532}, {'batch_size': 10, 'throughput': 1.4643838237710731, 'latency_mean': 6.7729680216312405, 'latency_p50': 6.749558925628662, 'latency_p90': 7.697283029556274}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_30622_v1
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-17
win_ratio: 0.4920654754467075
generation_params: {'temperature': 1.0, 'top_p': 0.88, '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-06-full-30622-v1-mkmlizer
Waiting for job on junhua024-chai-06-full-30622-v1-mkmlizer to finish
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junhua024-chai-06-full-30622-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-30622-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-30622-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-30622-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-30622-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-30622-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-30622-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-30622-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-30622-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-30622-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-30622-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-30622-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-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-06-full-30622-v1-mkmlizer: Downloaded to shared memory in 138.679s
junhua024-chai-06-full-30622-v1-mkmlizer: Checking if junhua024/chai_06_full_02102_1925 already exists in ChaiML
junhua024-chai-06-full-30622-v1-mkmlizer: Creating repo ChaiML/chai_06_full_02102_1925 and uploading /tmp/tmpntexu2cx to it
junhua024-chai-06-full-30622-v1-mkmlizer: 
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junhua024-chai-06-full-30622-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpntexu2cx, device:0
junhua024-chai-06-full-30622-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-30622-v1-mkmlizer: quantized model in 32.643s
junhua024-chai-06-full-30622-v1-mkmlizer: Processed model junhua024/chai_06_full_02102_1925 in 254.549s
junhua024-chai-06-full-30622-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-30622-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-30622-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v1/nvidia
junhua024-chai-06-full-30622-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v1/nvidia/config.json
junhua024-chai-06-full-30622-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v1/nvidia/special_tokens_map.json
junhua024-chai-06-full-30622-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v1/nvidia/tokenizer_config.json
junhua024-chai-06-full-30622-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v1/nvidia/tokenizer.json
junhua024-chai-06-full-30622-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-30622-v1-mkmlizer completed after 283.12s with status: succeeded
Stopping job with name junhua024-chai-06-full-30622-v1-mkmlizer
Pipeline stage MKMLizer completed in 283.65s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-30622-v1
Waiting for inference service junhua024-chai-06-full-30622-v1 to be ready
Inference service junhua024-chai-06-full-30622-v1 ready after 311.61236691474915s
Pipeline stage MKMLDeployer completed in 312.23s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.294464349746704s
Received healthy response to inference request in 1.7155876159667969s
Received healthy response to inference request in 1.585644245147705s
Received healthy response to inference request in 1.6619548797607422s
Received healthy response to inference request in 1.5601942539215088s
5 requests
0 failed requests
5th percentile: 1.565284252166748
10th percentile: 1.5703742504119873
20th percentile: 1.5805542469024658
30th percentile: 1.6009063720703125
40th percentile: 1.6314306259155273
50th percentile: 1.6619548797607422
60th percentile: 1.683407974243164
70th percentile: 1.7048610687255858
80th percentile: 1.8313629627227783
90th percentile: 2.062913656234741
95th percentile: 2.1786890029907227
99th percentile: 2.2713092803955077
mean time: 1.7635690689086914
Pipeline stage StressChecker completed in 10.77s
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 0.77s
Shutdown handler de-registered
junhua024-chai-06-full-_30622_v1 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4957.36s
Shutdown handler de-registered
junhua024-chai-06-full-_30622_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_30622_v1 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_30622_v1 status is now torndown due to DeploymentManager action