junhua024-chai-06-full-_75415

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_75415_v1
model_name: junhua024-chai-06-full-_75415_v1
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T13:38:58+00:00
num_battles: 7931
num_wins: 3905
celo_rating: 1281.97
family_friendly_score: 0.5526
family_friendly_standard_error: 0.007031831055991035
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': 0.593622275993841, 'latency_mean': 1.6844560778141022, 'latency_p50': 1.6754045486450195, 'latency_p90': 1.8600561618804932}, {'batch_size': 3, 'throughput': 1.0771282407377756, 'latency_mean': 2.7709311413764954, 'latency_p50': 2.772775650024414, 'latency_p90': 3.071004056930542}, {'batch_size': 5, 'throughput': 1.2787646601864817, 'latency_mean': 3.8963702630996706, 'latency_p50': 3.906503438949585, 'latency_p90': 4.420059323310852}, {'batch_size': 6, 'throughput': 1.3615049118215659, 'latency_mean': 4.397870335578919, 'latency_p50': 4.385475754737854, 'latency_p90': 4.9432148218154905}, {'batch_size': 8, 'throughput': 1.424150532435297, 'latency_mean': 5.577552205324173, 'latency_p50': 5.5369263887405396, 'latency_p90': 6.33346197605133}, {'batch_size': 10, 'throughput': 1.4578387216940691, 'latency_mean': 6.792917584180832, 'latency_p50': 6.756050229072571, 'latency_p90': 7.818029522895813}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_75415_v1
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_20241
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-17
win_ratio: 0.492371705963939
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-v1-mkmlizer
Waiting for job on junhua024-chai-06-full-75415-v1-mkmlizer to finish
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junhua024-chai-06-full-75415-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-75415-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-75415-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-75415-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-75415-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-75415-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-75415-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-75415-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-75415-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-75415-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-75415-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-75415-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-75415-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-75415-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-75415-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-75415-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
junhua024-chai-06-full-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-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-75415-v1-mkmlizer: Downloaded to shared memory in 122.620s
junhua024-chai-06-full-75415-v1-mkmlizer: Checking if junhua024/chai_06_full_02102_20241 already exists in ChaiML
junhua024-chai-06-full-75415-v1-mkmlizer: Creating repo ChaiML/chai_06_full_02102_20241 and uploading /tmp/tmpxgnswy4o to it
junhua024-chai-06-full-75415-v1-mkmlizer: 
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junhua024-chai-06-full-75415-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxgnswy4o, device:0
junhua024-chai-06-full-75415-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-75415-v1-mkmlizer: quantized model in 31.794s
junhua024-chai-06-full-75415-v1-mkmlizer: Processed model junhua024/chai_06_full_02102_20241 in 242.450s
junhua024-chai-06-full-75415-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-75415-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v1/nvidia/special_tokens_map.json
junhua024-chai-06-full-75415-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v1/nvidia/tokenizer_config.json
junhua024-chai-06-full-75415-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v1/nvidia/tokenizer.json
junhua024-chai-06-full-75415-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-75415-v1-mkmlizer: 
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Job junhua024-chai-06-full-75415-v1-mkmlizer completed after 262.74s with status: succeeded
Stopping job with name junhua024-chai-06-full-75415-v1-mkmlizer
Pipeline stage MKMLizer completed in 264.75s
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-75415-v1
Waiting for inference service junhua024-chai-06-full-75415-v1 to be ready
Retrying (%r) after connection broken by '%r': %s
Inference service junhua024-chai-06-full-75415-v1 ready after 291.89688777923584s
Pipeline stage MKMLDeployer completed in 292.69s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.86812424659729s
Received healthy response to inference request in 1.502016305923462s
Received healthy response to inference request in 1.9446179866790771s
Received healthy response to inference request in 2.1821377277374268s
Received healthy response to inference request in 1.6241796016693115s
5 requests
0 failed requests
5th percentile: 1.5264489650726318
10th percentile: 1.5508816242218018
20th percentile: 1.5997469425201416
30th percentile: 1.6882672786712647
40th percentile: 1.8164426326751708
50th percentile: 1.9446179866790771
60th percentile: 2.039625883102417
70th percentile: 2.134633779525757
80th percentile: 2.3193350315093997
90th percentile: 2.5937296390533446
95th percentile: 2.730926942825317
99th percentile: 2.8406847858428956
mean time: 2.0242151737213137
Pipeline stage StressChecker completed in 11.58s
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 0.81s
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 0.77s
Shutdown handler de-registered
junhua024-chai-06-full-_75415_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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4468.16s
Shutdown handler de-registered
junhua024-chai-06-full-_75415_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_75415_v1 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_75415_v1 status is now torndown due to DeploymentManager action