junhua024-chai-1-full-002

developer_uid: junhua024
submission_id: junhua024-chai-1-full-002_v18
model_name: junhua024-chai-1-full-002_v18
model_group: junhua024/chai_1-full_00
status: torndown
timestamp: 2025-06-29T07:25:48+00:00
num_battles: 7100
num_wins: 3197
celo_rating: 1246.28
family_friendly_score: 0.5882000000000001
family_friendly_standard_error: 0.006960183330918806
submission_type: basic
model_repo: junhua024/chai_1-full_002
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': 0.5980620320461459, 'latency_mean': 1.6719530653953552, 'latency_p50': 1.662890911102295, 'latency_p90': 1.853341293334961}, {'batch_size': 3, 'throughput': 1.0779459996677732, 'latency_mean': 2.776031131744385, 'latency_p50': 2.7721763849258423, 'latency_p90': 3.075040578842163}, {'batch_size': 5, 'throughput': 1.2931904996852432, 'latency_mean': 3.849130541086197, 'latency_p50': 3.8870574235916138, 'latency_p90': 4.21246485710144}, {'batch_size': 6, 'throughput': 1.3599015844996074, 'latency_mean': 4.3858510327339175, 'latency_p50': 4.390313625335693, 'latency_p90': 4.905157232284545}, {'batch_size': 8, 'throughput': 1.4202274472973264, 'latency_mean': 5.592370892763138, 'latency_p50': 5.646015882492065, 'latency_p90': 6.195463395118713}, {'batch_size': 10, 'throughput': 1.448938209433833, 'latency_mean': 6.856373447179794, 'latency_p50': 6.866121888160706, 'latency_p90': 7.732927203178406}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-002_v18
is_internal_developer: False
language_model: junhua024/chai_1-full_002
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-06-29
win_ratio: 0.45028169014084507
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.2, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.1, '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-1-full-002-v18-mkmlizer
Waiting for job on junhua024-chai-1-full-002-v18-mkmlizer to finish
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junhua024-chai-1-full-002-v18-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-002-v18-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-002-v18-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v18-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-002-v18-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-002-v18-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-002-v18-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-002-v18-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v18-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-002-v18-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-002-v18-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v18-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-002-v18-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-002-v18-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-002-v18-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v18-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-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-1-full-002-v18-mkmlizer: Downloaded to shared memory in 78.645s
junhua024-chai-1-full-002-v18-mkmlizer: Checking if junhua024/chai_1-full_002 already exists in ChaiML
junhua024-chai-1-full-002-v18-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqyy765sa, device:0
junhua024-chai-1-full-002-v18-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-002-v18-mkmlizer: quantized model in 32.256s
junhua024-chai-1-full-002-v18-mkmlizer: Processed model junhua024/chai_1-full_002 in 110.988s
junhua024-chai-1-full-002-v18-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-002-v18-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-002-v18-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-002-v18
junhua024-chai-1-full-002-v18-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v18/config.json
junhua024-chai-1-full-002-v18-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v18/special_tokens_map.json
junhua024-chai-1-full-002-v18-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v18/tokenizer_config.json
junhua024-chai-1-full-002-v18-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v18/tokenizer.json
junhua024-chai-1-full-002-v18-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-002-v18/flywheel_model.0.safetensors
junhua024-chai-1-full-002-v18-mkmlizer: 
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Job junhua024-chai-1-full-002-v18-mkmlizer completed after 148.51s with status: succeeded
Stopping job with name junhua024-chai-1-full-002-v18-mkmlizer
Pipeline stage MKMLizer completed in 149.17s
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-1-full-002-v18
Waiting for inference service junhua024-chai-1-full-002-v18 to be ready
Inference service junhua024-chai-1-full-002-v18 ready after 180.6924695968628s
Pipeline stage MKMLDeployer completed in 181.35s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.2237131595611572s
Received healthy response to inference request in 1.59773588180542s
Received healthy response to inference request in 1.5944249629974365s
Received healthy response to inference request in 1.7006230354309082s
5 requests
1 failed requests
5th percentile: 1.5950871467590333
10th percentile: 1.5957493305206298
20th percentile: 1.5970736980438232
30th percentile: 1.6183133125305176
40th percentile: 1.659468173980713
50th percentile: 1.7006230354309082
60th percentile: 1.9098590850830077
70th percentile: 2.1190951347351072
80th percentile: 5.812817764282229
90th percentile: 12.991026973724367
95th percentile: 16.58013157844543
99th percentile: 19.45141526222229
mean time: 5.457146644592285
%s, retrying in %s seconds...
Received healthy response to inference request in 1.862565040588379s
Received healthy response to inference request in 1.4452648162841797s
Received healthy response to inference request in 2.2577359676361084s
Received healthy response to inference request in 1.7176613807678223s
Received healthy response to inference request in 1.6639745235443115s
5 requests
0 failed requests
5th percentile: 1.489006757736206
10th percentile: 1.5327486991882324
20th percentile: 1.6202325820922852
30th percentile: 1.6747118949890136
40th percentile: 1.696186637878418
50th percentile: 1.7176613807678223
60th percentile: 1.775622844696045
70th percentile: 1.8335843086242676
80th percentile: 1.941599225997925
90th percentile: 2.0996675968170164
95th percentile: 2.1787017822265624
99th percentile: 2.2419291305541993
mean time: 1.7894403457641601
Pipeline stage StressChecker completed in 39.55s
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 0.77s
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 0.82s
Shutdown handler de-registered
junhua024-chai-1-full-002_v18 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 3115.94s
Shutdown handler de-registered
junhua024-chai-1-full-002_v18 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-002_v18 status is now torndown due to DeploymentManager action