junhua024-chai-06-full-02098

developer_uid: junhua024
submission_id: junhua024-chai-06-full-02098_v1
model_name: junhua024-chai-06-full-02098_v1
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-16T21:47:04+00:00
num_battles: 8800
num_wins: 4267
celo_rating: 1275.41
family_friendly_score: 0.5494
family_friendly_standard_error: 0.007036471274722863
submission_type: basic
model_repo: junhua024/chai_06_full_02098
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': 0.5884679250428755, 'latency_mean': 1.699147000312805, 'latency_p50': 1.7093607187271118, 'latency_p90': 1.866878080368042}, {'batch_size': 3, 'throughput': 1.0576534748844848, 'latency_mean': 2.829905451536179, 'latency_p50': 2.8303675651550293, 'latency_p90': 3.113231897354126}, {'batch_size': 5, 'throughput': 1.2615790364511084, 'latency_mean': 3.9471193850040436, 'latency_p50': 3.917475461959839, 'latency_p90': 4.419970989227295}, {'batch_size': 6, 'throughput': 1.3281781147884164, 'latency_mean': 4.492081490755081, 'latency_p50': 4.511912703514099, 'latency_p90': 5.071871304512023}, {'batch_size': 8, 'throughput': 1.383437787409891, 'latency_mean': 5.736719839572906, 'latency_p50': 5.75071656703949, 'latency_p90': 6.456919193267822}, {'batch_size': 10, 'throughput': 1.4100932883923385, 'latency_mean': 7.015496464967728, 'latency_p50': 7.008613586425781, 'latency_p90': 7.872222185134887}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-02098_v1
is_internal_developer: False
language_model: junhua024/chai_06_full_02098
model_size: 13B
ranking_group: single
throughput_3p7s: 1.23
us_pacific_date: 2025-07-16
win_ratio: 0.4848863636363636
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-02098-v1-mkmlizer
Waiting for job on junhua024-chai-06-full-02098-v1-mkmlizer to finish
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junhua024-chai-06-full-02098-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-02098-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-02098-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02098-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-02098-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-02098-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-02098-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-02098-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02098-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-02098-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-02098-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02098-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-02098-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-02098-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-02098-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02098-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-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-06-full-02098-v1-mkmlizer: Downloaded to shared memory in 137.487s
junhua024-chai-06-full-02098-v1-mkmlizer: Checking if junhua024/chai_06_full_02098 already exists in ChaiML
junhua024-chai-06-full-02098-v1-mkmlizer: Creating repo ChaiML/chai_06_full_02098 and uploading /tmp/tmpxmc5wf_y to it
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Connection pool is full, discarding connection: %s. Connection pool size: %s
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-02098-v1-mkmlizer: 
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junhua024-chai-06-full-02098-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxmc5wf_y, device:0
junhua024-chai-06-full-02098-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-02098-v1-mkmlizer: quantized model in 30.691s
junhua024-chai-06-full-02098-v1-mkmlizer: Processed model junhua024/chai_06_full_02098 in 252.674s
junhua024-chai-06-full-02098-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-02098-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-02098-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v1/nvidia
junhua024-chai-06-full-02098-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v1/nvidia/config.json
junhua024-chai-06-full-02098-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v1/nvidia/special_tokens_map.json
junhua024-chai-06-full-02098-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v1/nvidia/tokenizer_config.json
junhua024-chai-06-full-02098-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-02098-v1-mkmlizer completed after 273.95s with status: succeeded
Stopping job with name junhua024-chai-06-full-02098-v1-mkmlizer
Pipeline stage MKMLizer completed in 274.68s
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-02098-v1
Waiting for inference service junhua024-chai-06-full-02098-v1 to be ready
Inference service junhua024-chai-06-full-02098-v1 ready after 271.1053490638733s
Pipeline stage MKMLDeployer completed in 271.88s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4970855712890625s
Received healthy response to inference request in 1.786677598953247s
Received healthy response to inference request in 1.6123075485229492s
Received healthy response to inference request in 1.7613837718963623s
Received healthy response to inference request in 2.0175604820251465s
5 requests
0 failed requests
5th percentile: 1.6421227931976319
10th percentile: 1.6719380378723145
20th percentile: 1.7315685272216796
30th percentile: 1.7664425373077393
40th percentile: 1.7765600681304932
50th percentile: 1.786677598953247
60th percentile: 1.8790307521820069
70th percentile: 1.9713839054107665
80th percentile: 2.11346549987793
90th percentile: 2.305275535583496
95th percentile: 2.401180553436279
99th percentile: 2.4779045677185056
mean time: 1.9350029945373535
Pipeline stage StressChecker completed in 11.48s
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 0.87s
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 0.79s
Shutdown handler de-registered
junhua024-chai-06-full-02098_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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 8289.32s
Shutdown handler de-registered
junhua024-chai-06-full-02098_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-02098_v1 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-02098_v1 status is now torndown due to DeploymentManager action