junhua024-chai-06-full_30622

developer_uid: junhua024
submission_id: junhua024-chai-06-full_30622_v21
model_name: junhua024-chai-06-full_30622_v21
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T17:31:44+00:00
num_battles: 8599
num_wins: 4164
celo_rating: 1274.08
family_friendly_score: 0.5642
family_friendly_standard_error: 0.0070125367735221185
submission_type: basic
model_repo: junhua024/chai_06_full_02102_1925
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6146895008965114, 'latency_mean': 1.6267091035842896, 'latency_p50': 1.6297155618667603, 'latency_p90': 1.7851882457733155}, {'batch_size': 3, 'throughput': 1.2088871506463073, 'latency_mean': 2.471980155706406, 'latency_p50': 2.4765230417251587, 'latency_p90': 2.723494529724121}, {'batch_size': 5, 'throughput': 1.524414249798521, 'latency_mean': 3.26248419046402, 'latency_p50': 3.241032600402832, 'latency_p90': 3.6921752452850343}, {'batch_size': 6, 'throughput': 1.6015241464300733, 'latency_mean': 3.7334004008769988, 'latency_p50': 3.7457172870635986, 'latency_p90': 4.183086252212524}, {'batch_size': 8, 'throughput': 1.7543862070733824, 'latency_mean': 4.53231691122055, 'latency_p50': 4.549029111862183, 'latency_p90': 5.067331123352051}, {'batch_size': 10, 'throughput': 1.8248410322008561, 'latency_mean': 5.441172823905945, 'latency_p50': 5.460427165031433, 'latency_p90': 6.152501821517944}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full_30622_v21
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.6
us_pacific_date: 2025-07-18
win_ratio: 0.48424235376206537
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': 4, '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-30622-v21-mkmlizer
Waiting for job on junhua024-chai-06-full-30622-v21-mkmlizer to finish
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junhua024-chai-06-full-30622-v21-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-30622-v21-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-30622-v21-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v21-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-30622-v21-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-30622-v21-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-30622-v21-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-30622-v21-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v21-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-30622-v21-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-30622-v21-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v21-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-30622-v21-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-30622-v21-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-30622-v21-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v21-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-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-30622-v21-mkmlizer: Downloaded to shared memory in 86.199s
junhua024-chai-06-full-30622-v21-mkmlizer: Checking if junhua024/chai_06_full_02102_1925 already exists in ChaiML
junhua024-chai-06-full-30622-v21-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpo0yh3jeb, device:0
junhua024-chai-06-full-30622-v21-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-30622-v21-mkmlizer: quantized model in 32.786s
junhua024-chai-06-full-30622-v21-mkmlizer: Processed model junhua024/chai_06_full_02102_1925 in 119.120s
junhua024-chai-06-full-30622-v21-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-30622-v21-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-30622-v21-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v21/nvidia
junhua024-chai-06-full-30622-v21-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v21/nvidia/special_tokens_map.json
junhua024-chai-06-full-30622-v21-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v21/nvidia/config.json
junhua024-chai-06-full-30622-v21-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v21/nvidia/tokenizer_config.json
junhua024-chai-06-full-30622-v21-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v21/nvidia/tokenizer.json
junhua024-chai-06-full-30622-v21-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v21/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-30622-v21-mkmlizer: 
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Job junhua024-chai-06-full-30622-v21-mkmlizer completed after 234.05s with status: succeeded
Stopping job with name junhua024-chai-06-full-30622-v21-mkmlizer
Pipeline stage MKMLizer completed in 234.71s
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-06-full-30622-v21
Waiting for inference service junhua024-chai-06-full-30622-v21 to be ready
Failed to get response for submission chaiml-simon-ghost-rile_65921_v1: HTTPConnectionPool(host='chaiml-simon-ghost-rile-65921-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-30622-v21 ready after 331.40622210502625s
Pipeline stage MKMLDeployer completed in 332.08s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.252228260040283s
Received healthy response to inference request in 1.774477243423462s
Received healthy response to inference request in 2.0736114978790283s
Received healthy response to inference request in 2.0699729919433594s
Received healthy response to inference request in 1.8251087665557861s
5 requests
0 failed requests
5th percentile: 1.7846035480499267
10th percentile: 1.7947298526763915
20th percentile: 1.8149824619293213
30th percentile: 1.8740816116333008
40th percentile: 1.97202730178833
50th percentile: 2.0699729919433594
60th percentile: 2.071428394317627
70th percentile: 2.0728837966918947
80th percentile: 2.109334850311279
90th percentile: 2.1807815551757814
95th percentile: 2.2165049076080323
99th percentile: 2.245083589553833
mean time: 1.9990797519683838
Pipeline stage StressChecker completed in 11.90s
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 0.79s
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 0.67s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v21 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 2660.07s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v21 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full_30622_v21 status is now torndown due to DeploymentManager action
junhua024-chai-06-full_30622_v21 status is now torndown due to DeploymentManager action