junhua024-chai-06-full-_75415

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_75415_v9
model_name: junhua024-chai-06-full-_75415_v9
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T21:59:48+00:00
num_battles: 8316
num_wins: 4050
celo_rating: 1275.89
family_friendly_score: 0.5566
family_friendly_standard_error: 0.007025616556573523
submission_type: basic
model_repo: junhua024/chai_06_full_02102_20241
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': 0.5967630929433443, 'latency_mean': 1.675559014081955, 'latency_p50': 1.6903457641601562, 'latency_p90': 1.8453610420227051}, {'batch_size': 3, 'throughput': 1.0812956007442915, 'latency_mean': 2.772086865901947, 'latency_p50': 2.8013142347335815, 'latency_p90': 3.0321718215942384}, {'batch_size': 5, 'throughput': 1.311786574720241, 'latency_mean': 3.7940640437602995, 'latency_p50': 3.767351746559143, 'latency_p90': 4.2872435569763185}, {'batch_size': 6, 'throughput': 1.3652941144599184, 'latency_mean': 4.363770742416381, 'latency_p50': 4.368973970413208, 'latency_p90': 4.884360814094544}, {'batch_size': 8, 'throughput': 1.432806965131634, 'latency_mean': 5.5354347419738765, 'latency_p50': 5.491543531417847, 'latency_p90': 6.160886168479919}, {'batch_size': 10, 'throughput': 1.4533592561168116, 'latency_mean': 6.822315638065338, 'latency_p50': 6.8003047704696655, 'latency_p90': 7.778560161590576}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_75415_v9
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_20241
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-07-17
win_ratio: 0.487012987012987
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-75415-v9-mkmlizer
Waiting for job on junhua024-chai-06-full-75415-v9-mkmlizer to finish
Failed to get response for submission junhua024-chai-06-full-_75415_v8: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v8-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
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junhua024-chai-06-full-75415-v9-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-75415-v9-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v9-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-75415-v9-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-75415-v9-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-75415-v9-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-75415-v9-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v9-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-75415-v9-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-75415-v9-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v9-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-75415-v9-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-75415-v9-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-75415-v9-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-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`
Failed to get response for submission junhua024-chai-06-full-_75415_v7: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-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-75415-v9-mkmlizer: Downloaded to shared memory in 58.280s
junhua024-chai-06-full-75415-v9-mkmlizer: Checking if junhua024/chai_06_full_02102_20241 already exists in ChaiML
junhua024-chai-06-full-75415-v9-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkkm4403a, device:0
junhua024-chai-06-full-75415-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-75415-v9-mkmlizer: quantized model in 32.887s
junhua024-chai-06-full-75415-v9-mkmlizer: Processed model junhua024/chai_06_full_02102_20241 in 91.231s
junhua024-chai-06-full-75415-v9-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-75415-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-75415-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v9/nvidia
junhua024-chai-06-full-75415-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v9/nvidia/config.json
junhua024-chai-06-full-75415-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v9/nvidia/special_tokens_map.json
junhua024-chai-06-full-75415-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v9/nvidia/tokenizer_config.json
junhua024-chai-06-full-75415-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v9/nvidia/tokenizer.json
Failed to get response for submission junhua024-chai-06-full-_75415_v7: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-75415-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v9/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-75415-v9-mkmlizer: 
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Job junhua024-chai-06-full-75415-v9-mkmlizer completed after 114.9s with status: succeeded
Stopping job with name junhua024-chai-06-full-75415-v9-mkmlizer
Pipeline stage MKMLizer completed in 116.30s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.35s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-75415-v9
Waiting for inference service junhua024-chai-06-full-75415-v9 to be ready
Failed to get response for submission chaiml-gy-exp155-cpoalpha_898_v3: HTTPConnectionPool(host='chaiml-gy-exp155-cpoalpha-898-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-_75415_v5: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-gy-exp155-cpoalpha_898_v3: HTTPConnectionPool(host='chaiml-gy-exp155-cpoalpha-898-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-_75415_v8: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v8-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission blend_fader_2025-07-10: ('http://chaiml-slerpv5-mistral-24540-v21-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:52046->127.0.0.1:8080: read: connection reset by peer\n')
Failed to get response for submission junhua024-chai-06-full-_75415_v5: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-75415-v9 ready after 303.3950848579407s
Pipeline stage MKMLDeployer completed in 304.59s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.327573299407959s
Received healthy response to inference request in 1.931548833847046s
Received healthy response to inference request in 1.9707913398742676s
Received healthy response to inference request in 1.7113945484161377s
Received healthy response to inference request in 1.644726276397705s
5 requests
0 failed requests
5th percentile: 1.6580599308013917
10th percentile: 1.671393585205078
20th percentile: 1.698060894012451
30th percentile: 1.7554254055023193
40th percentile: 1.8434871196746827
50th percentile: 1.931548833847046
60th percentile: 1.9472458362579346
70th percentile: 1.9629428386688232
80th percentile: 2.042147731781006
90th percentile: 2.1848605155944822
95th percentile: 2.2562169075012206
99th percentile: 2.3133020210266113
mean time: 1.9172068595886231
Pipeline stage StressChecker completed in 12.13s
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 1.39s
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 1.42s
Shutdown handler de-registered
junhua024-chai-06-full-_75415_v9 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 5442.02s
Shutdown handler de-registered
junhua024-chai-06-full-_75415_v9 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_75415_v9 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_75415_v9 status is now torndown due to DeploymentManager action