junhua024-chai-02-full-02-019

developer_uid: junhua024
submission_id: junhua024-chai-02-full-02-019_v7
model_name: junhua024-chai-02-full-02-019
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T02:22:36+00:00
num_battles: 5515
num_wins: 2797
celo_rating: 1293.96
family_friendly_score: 0.4174
family_friendly_standard_error: 0.006973911958148023
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': 0.6625239543337046, 'latency_mean': 1.5092047369480133, 'latency_p50': 1.516370415687561, 'latency_p90': 1.6543073415756226}, {'batch_size': 3, 'throughput': 1.1253319963333417, 'latency_mean': 2.6600528812408446, 'latency_p50': 2.6569206714630127, 'latency_p90': 2.9900495767593385}, {'batch_size': 5, 'throughput': 1.3045961948847378, 'latency_mean': 3.809126547574997, 'latency_p50': 3.827761173248291, 'latency_p90': 4.230747365951538}, {'batch_size': 6, 'throughput': 1.365742649339553, 'latency_mean': 4.369988396167755, 'latency_p50': 4.356865167617798, 'latency_p90': 4.89540319442749}, {'batch_size': 8, 'throughput': 1.4149286863786166, 'latency_mean': 5.60888769030571, 'latency_p50': 5.641842722892761, 'latency_p90': 6.262190937995911}, {'batch_size': 10, 'throughput': 1.4468640295569102, 'latency_mean': 6.859978959560395, 'latency_p50': 6.94230329990387, 'latency_p90': 7.798269987106323}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-02-019
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-07-23
win_ratio: 0.5071622846781505
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, '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 with high integrity standards. You care for the user's feelings and respond with warmth, compassion, and sincerity. You are trying to make positive and constructive contributions to the user. ", '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-v7-mkmlizer
Waiting for job on junhua024-chai-02-full-02-019-v7-mkmlizer to finish
junhua024-chai-02-full-02-019-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-02-019-v7-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-02-019-v7-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-02-019-v7-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v7-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-02-019-v7-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-02-019-v7-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-02-019-v7-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-02-019-v7-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-02-019-v7-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-02-019-v7-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v7-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-02-019-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-02-019-v7-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-02-019-v7-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-019-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-02-019-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-mkmlizer: Downloaded to shared memory in 104.079s
junhua024-chai-02-full-02-019-v7-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-02-019-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp3z4xh2bc, device:0
junhua024-chai-02-full-02-019-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-02-019-v7-mkmlizer: quantized model in 164.449s
junhua024-chai-02-full-02-019-v7-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 268.623s
junhua024-chai-02-full-02-019-v7-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-02-019-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-02-019-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v7/nvidia
junhua024-chai-02-full-02-019-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v7/nvidia/config.json
junhua024-chai-02-full-02-019-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v7/nvidia/special_tokens_map.json
junhua024-chai-02-full-02-019-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v7/nvidia/tokenizer_config.json
junhua024-chai-02-full-02-019-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v7/nvidia/tokenizer.json
junhua024-chai-02-full-02-019-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-02-019-v7/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-02-019-v7-mkmlizer: 
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Job junhua024-chai-02-full-02-019-v7-mkmlizer completed after 299.91s with status: succeeded
Stopping job with name junhua024-chai-02-full-02-019-v7-mkmlizer
Pipeline stage MKMLizer completed in 300.75s
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-v7
Waiting for inference service junhua024-chai-02-full-02-019-v7 to be ready
Failed to get response for submission blend_defol_2025-07-24: HTTPConnectionPool(host='guanaco-model-mesh.k2.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-02-full-02-019-v7 ready after 171.81767868995667s
Pipeline stage MKMLDeployer completed in 173.10s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.891754150390625s
Received healthy response to inference request in 1.4195425510406494s
Received healthy response to inference request in 1.6260461807250977s
Received healthy response to inference request in 1.2787292003631592s
Received healthy response to inference request in 1.8412377834320068s
5 requests
0 failed requests
5th percentile: 1.3068918704986572
10th percentile: 1.3350545406341552
20th percentile: 1.3913798809051514
30th percentile: 1.460843276977539
40th percentile: 1.5434447288513184
50th percentile: 1.6260461807250977
60th percentile: 1.7121228218078612
70th percentile: 1.798199462890625
80th percentile: 2.451341056823731
90th percentile: 3.671547603607178
95th percentile: 4.281650876998901
99th percentile: 4.769733495712281
mean time: 2.211461973190308
Pipeline stage StressChecker completed in 13.24s
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 0.74s
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 0.70s
Shutdown handler de-registered
junhua024-chai-02-full-02-019_v7 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
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 2950.98s
Shutdown handler de-registered
junhua024-chai-02-full-02-019_v7 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-02-019_v7 status is now torndown due to DeploymentManager action