junhua024-chai-02-full-02-019

developer_uid: junhua024
submission_id: junhua024-chai-02-full-02-019_v8
model_name: junhua024-chai-02-full-02-019_v8
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T05:42:34+00:00
num_battles: 7014
num_wins: 3496
celo_rating: 1280.85
family_friendly_score: 0.4094
family_friendly_standard_error: 0.006954015243008891
submission_type: basic
model_repo: junhua024/chai_02_full_02_019
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': 0.6691472500425829, 'latency_mean': 1.4943069040775299, 'latency_p50': 1.493751049041748, 'latency_p90': 1.6360780477523804}, {'batch_size': 3, 'throughput': 1.1601085712112813, 'latency_mean': 2.5728988790512086, 'latency_p50': 2.563631534576416, 'latency_p90': 2.804981327056885}, {'batch_size': 5, 'throughput': 1.3136844294941177, 'latency_mean': 3.786470310688019, 'latency_p50': 3.841527223587036, 'latency_p90': 4.218434858322143}, {'batch_size': 6, 'throughput': 1.3740194869047653, 'latency_mean': 4.338147257566452, 'latency_p50': 4.377157807350159, 'latency_p90': 4.820590782165527}, {'batch_size': 8, 'throughput': 1.446121771056676, 'latency_mean': 5.497486099004745, 'latency_p50': 5.5154560804367065, 'latency_p90': 6.155712747573853}, {'batch_size': 10, 'throughput': 1.483772264108855, 'latency_mean': 6.689618147611618, 'latency_p50': 6.713497519493103, 'latency_p90': 7.555454540252685}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-02-019_v8
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 1.31
us_pacific_date: 2025-07-23
win_ratio: 0.4984317080125463
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': "{memory} You are an empathetic conversational AI that understands the user's feelings and responds with uplifting warmth, compassion, and sincerity.", '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-02-full-02-019-v8-mkmlizer
Waiting for job on junhua024-chai-02-full-02-019-v8-mkmlizer to finish
junhua024-chai-02-full-02-019-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-02-019-v8-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-02-019-v8-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-02-019-v8-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v8-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-02-019-v8-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-02-019-v8-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-02-019-v8-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-02-019-v8-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v8-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-02-019-v8-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-02-019-v8-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v8-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-02-019-v8-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-02-019-v8-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-02-019-v8-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-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-02-full-02-019-v8-mkmlizer: Downloaded to shared memory in 82.974s
junhua024-chai-02-full-02-019-v8-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-02-019-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpizc69z2v, device:0
junhua024-chai-02-full-02-019-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-02-019-v8-mkmlizer: quantized model in 163.406s
junhua024-chai-02-full-02-019-v8-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 246.464s
junhua024-chai-02-full-02-019-v8-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-02-019-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-02-019-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v8/nvidia
junhua024-chai-02-full-02-019-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v8/nvidia/config.json
junhua024-chai-02-full-02-019-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v8/nvidia/special_tokens_map.json
junhua024-chai-02-full-02-019-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v8/nvidia/tokenizer_config.json
junhua024-chai-02-full-02-019-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v8/nvidia/tokenizer.json
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Job junhua024-chai-02-full-02-019-v8-mkmlizer completed after 273.86s with status: succeeded
Stopping job with name junhua024-chai-02-full-02-019-v8-mkmlizer
Pipeline stage MKMLizer completed in 274.44s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-02-019-v8
Waiting for inference service junhua024-chai-02-full-02-019-v8 to be ready
Inference service junhua024-chai-02-full-02-019-v8 ready after 171.70203280448914s
Pipeline stage MKMLDeployer completed in 172.27s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.4026577472686768s
Received healthy response to inference request in 1.5861408710479736s
Received healthy response to inference request in 1.7845699787139893s
Received healthy response to inference request in 1.3714923858642578s
Received healthy response to inference request in 1.7721385955810547s
5 requests
0 failed requests
5th percentile: 1.414422082901001
10th percentile: 1.4573517799377442
20th percentile: 1.5432111740112304
30th percentile: 1.6233404159545899
40th percentile: 1.6977395057678222
50th percentile: 1.7721385955810547
60th percentile: 1.7771111488342286
70th percentile: 1.7820837020874023
80th percentile: 2.1081875324249273
90th percentile: 2.755422639846802
95th percentile: 3.0790401935577387
99th percentile: 3.3379342365264892
mean time: 1.9833999156951905
Pipeline stage StressChecker completed in 11.77s
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 0.75s
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 0.69s
Shutdown handler de-registered
junhua024-chai-02-full-02-019_v8 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 3058.71s
Shutdown handler de-registered
junhua024-chai-02-full-02-019_v8 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-02-019_v8 status is now torndown due to DeploymentManager action