junhua024-chai-06-full-_75415

developer_uid: junhua024

submission_id: junhua024-chai-06-full-_75415_v4

model_name: junhua024-chai-06-full-_75415_v4

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-17T13:45:15+00:00

num_battles: 6176

num_wins: 3042

celo_rating: 1278.0

family_friendly_score: 0.5569999999999999

family_friendly_standard_error: 0.007024969750824553

submission_type: basic

model_repo: junhua024/chai_06_full_02102_20241

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': 0.5999695983079417, 'latency_mean': 1.6666354954242706, 'latency_p50': 1.668398380279541, 'latency_p90': 1.824317669868469}, {'batch_size': 3, 'throughput': 1.0762679423029429, 'latency_mean': 2.778632811307907, 'latency_p50': 2.7893072366714478, 'latency_p90': 3.0554827213287354}, {'batch_size': 5, 'throughput': 1.291207388936549, 'latency_mean': 3.8529966390132904, 'latency_p50': 3.851125955581665, 'latency_p90': 4.303821110725403}, {'batch_size': 6, 'throughput': 1.3622690461391525, 'latency_mean': 4.385758982896805, 'latency_p50': 4.388083219528198, 'latency_p90': 4.927545166015625}, {'batch_size': 8, 'throughput': 1.406216192144422, 'latency_mean': 5.653035259246826, 'latency_p50': 5.652676582336426, 'latency_p90': 6.436274981498718}, {'batch_size': 10, 'throughput': 1.453757876996867, 'latency_mean': 6.8068664157390595, 'latency_p50': 6.833563804626465, 'latency_p90': 7.694498515129089}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full-_75415_v4

is_internal_developer: False

language_model: junhua024/chai_06_full_02102_20241

model_size: 13B

ranking_group: single

throughput_3p7s: 1.27

us_pacific_date: 2025-07-17

win_ratio: 0.49255181347150256

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-75415-v4-mkmlizer
Waiting for job on junhua024-chai-06-full-75415-v4-mkmlizer to finish
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junhua024-chai-06-full-75415-v4-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-75415-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-75415-v4-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-75415-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-75415-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-75415-v4-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-75415-v4-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-75415-v4-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-75415-v4-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v4-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-75415-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-75415-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-75415-v4-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-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-75415-v4-mkmlizer: Downloaded to shared memory in 73.795s
junhua024-chai-06-full-75415-v4-mkmlizer: Checking if junhua024/chai_06_full_02102_20241 already exists in ChaiML
junhua024-chai-06-full-75415-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpih69e6b8, device:0
junhua024-chai-06-full-75415-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-75415-v4-mkmlizer: quantized model in 30.915s
junhua024-chai-06-full-75415-v4-mkmlizer: Processed model junhua024/chai_06_full_02102_20241 in 104.796s
junhua024-chai-06-full-75415-v4-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-75415-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-75415-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v4/nvidia
junhua024-chai-06-full-75415-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v4/nvidia/config.json
junhua024-chai-06-full-75415-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v4/nvidia/special_tokens_map.json
junhua024-chai-06-full-75415-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v4/nvidia/tokenizer_config.json
junhua024-chai-06-full-75415-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v4/nvidia/tokenizer.json
junhua024-chai-06-full-75415-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v4/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-75415-v4-mkmlizer completed after 129.24s with status: succeeded
Stopping job with name junhua024-chai-06-full-75415-v4-mkmlizer
Pipeline stage MKMLizer completed in 129.82s
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-75415-v4
Waiting for inference service junhua024-chai-06-full-75415-v4 to be ready
Inference service junhua024-chai-06-full-75415-v4 ready after 291.8159296512604s
Pipeline stage MKMLDeployer completed in 292.38s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5045504570007324s
Received healthy response to inference request in 1.47090744972229s
Received healthy response to inference request in 1.8047873973846436s
Received healthy response to inference request in 1.5777766704559326s
Received healthy response to inference request in 1.7324028015136719s
5 requests
0 failed requests
5th percentile: 1.4922812938690186
10th percentile: 1.513655138015747
20th percentile: 1.556402826309204
30th percentile: 1.6087018966674804
40th percentile: 1.6705523490905763
50th percentile: 1.7324028015136719
60th percentile: 1.7613566398620606
70th percentile: 1.7903104782104493
80th percentile: 1.9447400093078615
90th percentile: 2.224645233154297
95th percentile: 2.3645978450775145
99th percentile: 2.476559934616089
mean time: 1.818084955215454
Pipeline stage StressChecker completed in 10.99s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.74s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.82s
Shutdown handler de-registered
junhua024-chai-06-full-_75415_v4 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-75415-v4-profiler
Waiting for inference service junhua024-chai-06-full-75415-v4-profiler to be ready
Shutdown handler registered
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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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5396.66s
Shutdown handler de-registered
junhua024-chai-06-full-_75415_v4 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_75415_v4 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_75415_v4 status is now torndown due to DeploymentManager action