junhua024-chai-06-full-_56660

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_56660_v1
model_name: junhua024-chai-06-full-_56660_v1
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T13:53:02+00:00
num_battles: 7966
num_wins: 3862
celo_rating: 1272.81
family_friendly_score: 0.5566
family_friendly_standard_error: 0.007025616556573523
submission_type: basic
model_repo: junhua024/chai_06_full_02104_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': 0.5941833354538479, 'latency_mean': 1.6828493404388427, 'latency_p50': 1.6784017086029053, 'latency_p90': 1.8550644397735596}, {'batch_size': 3, 'throughput': 1.0729649575422802, 'latency_mean': 2.7900904870033263, 'latency_p50': 2.8061394691467285, 'latency_p90': 3.087578773498535}, {'batch_size': 5, 'throughput': 1.3028680316978734, 'latency_mean': 3.822760185003281, 'latency_p50': 3.7561428546905518, 'latency_p90': 4.3559911251068115}, {'batch_size': 6, 'throughput': 1.36310991337078, 'latency_mean': 4.3806333363056185, 'latency_p50': 4.327599048614502, 'latency_p90': 4.939900255203247}, {'batch_size': 8, 'throughput': 1.4164803237070687, 'latency_mean': 5.61560621380806, 'latency_p50': 5.624876379966736, 'latency_p90': 6.283296918869018}, {'batch_size': 10, 'throughput': 1.4572255748816811, 'latency_mean': 6.8084281170368195, 'latency_p50': 6.8225401639938354, 'latency_p90': 7.573938775062561}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_56660_v1
is_internal_developer: False
language_model: junhua024/chai_06_full_02104_20241
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-17
win_ratio: 0.4848104443886518
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-56660-v1-mkmlizer
Waiting for job on junhua024-chai-06-full-56660-v1-mkmlizer to finish
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junhua024-chai-06-full-56660-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-56660-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-56660-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-56660-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-56660-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-56660-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-56660-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-56660-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-56660-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-56660-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-56660-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-56660-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-56660-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-56660-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-56660-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-56660-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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`
Failed to get response for submission junhua024-chai-06-full-_75415_v1: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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`
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
junhua024-chai-06-full-56660-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-56660-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-56660-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-56660-v1-mkmlizer: Downloaded to shared memory in 125.417s
junhua024-chai-06-full-56660-v1-mkmlizer: Checking if junhua024/chai_06_full_02104_20241 already exists in ChaiML
junhua024-chai-06-full-56660-v1-mkmlizer: Creating repo ChaiML/chai_06_full_02104_20241 and uploading /tmp/tmprw5e57po to it
Failed to get response for submission junhua024-chai-06-full-_75415_v1: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-56660-v1-mkmlizer: 
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junhua024-chai-06-full-56660-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmprw5e57po, device:0
junhua024-chai-06-full-56660-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-56660-v1-mkmlizer: quantized model in 30.947s
junhua024-chai-06-full-56660-v1-mkmlizer: Processed model junhua024/chai_06_full_02104_20241 in 234.390s
junhua024-chai-06-full-56660-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-56660-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-56660-v1/nvidia/tokenizer_config.json
junhua024-chai-06-full-56660-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-56660-v1/nvidia/tokenizer.json
junhua024-chai-06-full-56660-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-56660-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-56660-v1-mkmlizer completed after 265.04s with status: succeeded
Stopping job with name junhua024-chai-06-full-56660-v1-mkmlizer
Pipeline stage MKMLizer completed in 265.63s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-56660-v1
Waiting for inference service junhua024-chai-06-full-56660-v1 to be ready
Failed to get response for submission junhua024-chai-06-full-_75415_v4: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-56660-v1 ready after 292.86231422424316s
Pipeline stage MKMLDeployer completed in 293.58s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2886734008789062s
Received healthy response to inference request in 2.0174617767333984s
Received healthy response to inference request in 1.5973563194274902s
Received healthy response to inference request in 1.5922629833221436s
Received healthy response to inference request in 1.559088945388794s
5 requests
0 failed requests
5th percentile: 1.565723752975464
10th percentile: 1.5723585605621337
20th percentile: 1.5856281757354735
30th percentile: 1.5932816505432128
40th percentile: 1.5953189849853515
50th percentile: 1.5973563194274902
60th percentile: 1.7653985023498535
70th percentile: 1.9334406852722168
80th percentile: 2.0717041015625
90th percentile: 2.180188751220703
95th percentile: 2.2344310760498045
99th percentile: 2.277824935913086
mean time: 1.8109686851501465
Pipeline stage StressChecker completed in 10.44s
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 0.95s
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-06-full-_56660_v1 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 0.15s
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 3865.44s
Shutdown handler de-registered
junhua024-chai-06-full-_56660_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_56660_v1 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_56660_v1 status is now torndown due to DeploymentManager action