junhua024-chai-12-full-02

developer_uid: junhua024
submission_id: junhua024-chai-12-full-02_v1
model_name: junhua024-chai-12-full-02_v1
model_group: junhua024/chai_12_full_0
status: torndown
timestamp: 2025-07-26T17:26:00+00:00
num_battles: 8628
num_wins: 4523
celo_rating: 1279.26
family_friendly_score: 0.5784
family_friendly_standard_error: 0.006983601363193635
submission_type: basic
model_repo: junhua024/chai_12_full_02
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5318196090274238, 'latency_mean': 1.8801936674118043, 'latency_p50': 1.8811932802200317, 'latency_p90': 2.0377559900283813}, {'batch_size': 2, 'throughput': 0.7100916756124355, 'latency_mean': 2.8117946672439573, 'latency_p50': 2.8151384592056274, 'latency_p90': 3.0435749769210814}, {'batch_size': 3, 'throughput': 0.8011419467908951, 'latency_mean': 3.7379862940311432, 'latency_p50': 3.751423954963684, 'latency_p90': 4.033107089996338}, {'batch_size': 4, 'throughput': 0.8547568046090493, 'latency_mean': 4.670884959697723, 'latency_p50': 4.699155569076538, 'latency_p90': 5.189542579650879}, {'batch_size': 5, 'throughput': 0.8904962131224468, 'latency_mean': 5.59718599319458, 'latency_p50': 5.643426299095154, 'latency_p90': 6.235616970062256}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-12-full-02_v1
is_internal_developer: False
language_model: junhua024/chai_12_full_02
model_size: 13B
ranking_group: single
throughput_3p7s: 0.8
us_pacific_date: 2025-07-26
win_ratio: 0.5242234585071859
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': 2048, '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-12-full-02-v1-mkmlizer
Waiting for job on junhua024-chai-12-full-02-v1-mkmlizer to finish
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junhua024-chai-12-full-02-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-02-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-12-full-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-02-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-02-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-02-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-02-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-02-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-02-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-02-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-02-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-02-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-02-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-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-12-full-02-v1-mkmlizer: Downloaded to shared memory in 131.530s
junhua024-chai-12-full-02-v1-mkmlizer: Checking if junhua024/chai_12_full_02 already exists in ChaiML
junhua024-chai-12-full-02-v1-mkmlizer: Creating repo ChaiML/chai_12_full_02 and uploading /tmp/tmp_31ggzgp to it
junhua024-chai-12-full-02-v1-mkmlizer: 
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junhua024-chai-12-full-02-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp_31ggzgp, device:0
junhua024-chai-12-full-02-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-12-full-02-v1-mkmlizer: quantized model in 233.939s
junhua024-chai-12-full-02-v1-mkmlizer: Processed model junhua024/chai_12_full_02 in 455.956s
junhua024-chai-12-full-02-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-02-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-02-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-02-v1/nvidia
junhua024-chai-12-full-02-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-02-v1/nvidia/config.json
junhua024-chai-12-full-02-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-02-v1/nvidia/special_tokens_map.json
junhua024-chai-12-full-02-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-02-v1/nvidia/tokenizer_config.json
junhua024-chai-12-full-02-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-02-v1/nvidia/tokenizer.json
junhua024-chai-12-full-02-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-02-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-02-v1-mkmlizer completed after 492.09s with status: succeeded
Stopping job with name junhua024-chai-12-full-02-v1-mkmlizer
Pipeline stage MKMLizer completed in 492.61s
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-12-full-02-v1
Waiting for inference service junhua024-chai-12-full-02-v1 to be ready
Inference service junhua024-chai-12-full-02-v1 ready after 181.33675289154053s
Pipeline stage MKMLDeployer completed in 181.93s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3283531665802s
Received healthy response to inference request in 2.620677947998047s
Received healthy response to inference request in 1.6249895095825195s
Received healthy response to inference request in 2.640739917755127s
Received healthy response to inference request in 2.7675235271453857s
5 requests
0 failed requests
5th percentile: 1.7656622409820557
10th percentile: 1.9063349723815919
20th percentile: 2.1876804351806642
30th percentile: 2.3868181228637697
40th percentile: 2.5037480354309083
50th percentile: 2.620677947998047
60th percentile: 2.628702735900879
70th percentile: 2.636727523803711
80th percentile: 2.666096639633179
90th percentile: 2.7168100833892823
95th percentile: 2.742166805267334
99th percentile: 2.7624521827697754
mean time: 2.396456813812256
Pipeline stage StressChecker completed in 13.63s
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 0.75s
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 0.72s
Shutdown handler de-registered
junhua024-chai-12-full-02_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 0.18s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-12-full-02-v1-profiler
Waiting for inference service junhua024-chai-12-full-02-v1-profiler to be ready
Shutdown handler registered
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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 5375.89s
Shutdown handler de-registered
junhua024-chai-12-full-02_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-02_v1 status is now torndown due to DeploymentManager action