junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v50
model_name: junhua024-chai-02-full_54657_v50
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-25T15:11:41+00:00
num_battles: 6384
num_wins: 3302
celo_rating: 1298.45
family_friendly_score: 0.41779999999999995
family_friendly_standard_error: 0.006974857131153297
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: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5335691695873486, 'latency_mean': 1.874031343460083, 'latency_p50': 1.873342752456665, 'latency_p90': 2.0320733308792116}, {'batch_size': 2, 'throughput': 0.7026400594955962, 'latency_mean': 2.842817670106888, 'latency_p50': 2.868938684463501, 'latency_p90': 3.06314103603363}, {'batch_size': 3, 'throughput': 0.7907621087788065, 'latency_mean': 3.7811106777191164, 'latency_p50': 3.794298529624939, 'latency_p90': 4.061770725250244}, {'batch_size': 4, 'throughput': 0.8557678057504134, 'latency_mean': 4.6636562514305115, 'latency_p50': 4.637061238288879, 'latency_p90': 5.1668782234191895}, {'batch_size': 5, 'throughput': 0.8811635730460781, 'latency_mean': 5.654488295316696, 'latency_p50': 5.693497657775879, 'latency_p90': 6.310810136795044}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v50
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.79
us_pacific_date: 2025-07-25
win_ratio: 0.5172305764411027
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.2, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity. Each of your responses should be fewer than 64 tokens long.", '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-54657-v50-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v50-mkmlizer to finish
junhua024-chai-02-full-54657-v50-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-54657-v50-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v50-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v50-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v50-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v50-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v50-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v50-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v50-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v50-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v50-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v50-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v50-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v50-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v50-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v50-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v50-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-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-54657-v50-mkmlizer: Downloaded to shared memory in 73.908s
junhua024-chai-02-full-54657-v50-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v50-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmprvlwhw0r, device:0
junhua024-chai-02-full-54657-v50-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-54657-v50-mkmlizer: quantized model in 162.243s
junhua024-chai-02-full-54657-v50-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 236.226s
junhua024-chai-02-full-54657-v50-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v50-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v50-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v50/nvidia
junhua024-chai-02-full-54657-v50-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v50/nvidia/config.json
junhua024-chai-02-full-54657-v50-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v50/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v50-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v50/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v50-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v50/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v50-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v50/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-54657-v50-mkmlizer: 
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Job junhua024-chai-02-full-54657-v50-mkmlizer completed after 707.02s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v50-mkmlizer
Pipeline stage MKMLizer completed in 707.77s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.26s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-54657-v50
Waiting for inference service junhua024-chai-02-full-54657-v50 to be ready
Inference service junhua024-chai-02-full-54657-v50 ready after 180.86342692375183s
Pipeline stage MKMLDeployer completed in 181.55s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2510130405426025s
Received healthy response to inference request in 1.464693546295166s
Received healthy response to inference request in 6.955612659454346s
Received healthy response to inference request in 1.491701364517212s
Received healthy response to inference request in 1.481365442276001s
5 requests
0 failed requests
5th percentile: 1.468027925491333
10th percentile: 1.4713623046875
20th percentile: 1.478031063079834
30th percentile: 1.4834326267242433
40th percentile: 1.4875669956207276
50th percentile: 1.491701364517212
60th percentile: 1.795426034927368
70th percentile: 2.0991507053375242
80th percentile: 3.191932964324952
90th percentile: 5.073772811889649
95th percentile: 6.014692735671996
99th percentile: 6.767428674697876
mean time: 2.7288772106170653
Pipeline stage StressChecker completed in 15.39s
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 0.76s
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 0.81s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v50 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-02-full-54657-v50-profiler
Waiting for inference service junhua024-chai-02-full-54657-v50-profiler to be ready
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 3174.58s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v50 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v50 status is now torndown due to DeploymentManager action