junhua024-chai-1-full-066121

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066121_v1
model_name: junhua024-chai-1-full-066121_v1
model_group: junhua024/chai_1-full_06
status: torndown
timestamp: 2025-06-29T18:28:36+00:00
num_battles: 6959
num_wins: 3302
celo_rating: 1256.55
family_friendly_score: 0.5648
family_friendly_standard_error: 0.007011432949119602
submission_type: basic
model_repo: junhua024/chai_1-full_066121
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': 0.5974189008407887, 'latency_mean': 1.6736836838722229, 'latency_p50': 1.6793601512908936, 'latency_p90': 1.844033122062683}, {'batch_size': 3, 'throughput': 1.0830540957104189, 'latency_mean': 2.7622328901290896, 'latency_p50': 2.7357919216156006, 'latency_p90': 3.109918999671936}, {'batch_size': 5, 'throughput': 1.2964837455023908, 'latency_mean': 3.8400578618049623, 'latency_p50': 3.8282073736190796, 'latency_p90': 4.349771118164062}, {'batch_size': 6, 'throughput': 1.3638263939587898, 'latency_mean': 4.364051420688629, 'latency_p50': 4.32976770401001, 'latency_p90': 4.903914833068848}, {'batch_size': 8, 'throughput': 1.4220380904895613, 'latency_mean': 5.59268492937088, 'latency_p50': 5.621817350387573, 'latency_p90': 6.252579259872436}, {'batch_size': 10, 'throughput': 1.4639388656250356, 'latency_mean': 6.782419205904007, 'latency_p50': 6.77240526676178, 'latency_p90': 7.729476046562194}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066121_v1
is_internal_developer: False
language_model: junhua024/chai_1-full_066121
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-06-29
win_ratio: 0.47449346170426787
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, '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': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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-066121-v1-mkmlizer
Waiting for job on junhua024-chai-1-full-066121-v1-mkmlizer to finish
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junhua024-chai-1-full-066121-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066121-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066121-v1-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-066121-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066121-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066121-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066121-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066121-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066121-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066121-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066121-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066121-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066121-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066121-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066121-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-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-1-full-066121-v1-mkmlizer: Downloaded to shared memory in 137.528s
junhua024-chai-1-full-066121-v1-mkmlizer: Checking if junhua024/chai_1-full_066121 already exists in ChaiML
junhua024-chai-1-full-066121-v1-mkmlizer: Creating repo ChaiML/chai_1-full_066121 and uploading /tmp/tmpskc68fi6 to it
junhua024-chai-1-full-066121-v1-mkmlizer: 
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junhua024-chai-1-full-066121-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpskc68fi6, device:0
junhua024-chai-1-full-066121-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066121-v1-mkmlizer: quantized model in 30.538s
junhua024-chai-1-full-066121-v1-mkmlizer: Processed model junhua024/chai_1-full_066121 in 248.737s
junhua024-chai-1-full-066121-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066121-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066121-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066121-v1
junhua024-chai-1-full-066121-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066121-v1/special_tokens_map.json
junhua024-chai-1-full-066121-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066121-v1/tokenizer_config.json
junhua024-chai-1-full-066121-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066121-v1/tokenizer.json
junhua024-chai-1-full-066121-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066121-v1/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066121-v1-mkmlizer completed after 282.02s with status: succeeded
Stopping job with name junhua024-chai-1-full-066121-v1-mkmlizer
Pipeline stage MKMLizer completed in 282.54s
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-066121-v1
Waiting for inference service junhua024-chai-1-full-066121-v1 to be ready
Inference service junhua024-chai-1-full-066121-v1 ready after 190.66819071769714s
Pipeline stage MKMLDeployer completed in 191.21s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.686490058898926s
Received healthy response to inference request in 2.143435478210449s
Received healthy response to inference request in 1.6814289093017578s
Received healthy response to inference request in 1.744798183441162s
Received healthy response to inference request in 1.81718111038208s
5 requests
0 failed requests
5th percentile: 1.6941027641296387
10th percentile: 1.7067766189575195
20th percentile: 1.7321243286132812
30th percentile: 1.7592747688293457
40th percentile: 1.7882279396057128
50th percentile: 1.81718111038208
60th percentile: 1.9476828575134277
70th percentile: 2.0781846046447754
80th percentile: 2.252046394348145
90th percentile: 2.469268226623535
95th percentile: 2.57787914276123
99th percentile: 2.664767875671387
mean time: 2.014666748046875
Pipeline stage StressChecker completed in 11.57s
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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 0.65s
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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 0.68s
Shutdown handler de-registered
junhua024-chai-1-full-066121_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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3339.42s
Shutdown handler de-registered
junhua024-chai-1-full-066121_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066121_v1 status is now torndown due to DeploymentManager action