junhua024-chai-02-full-062

developer_uid: junhua024
submission_id: junhua024-chai-02-full-062_v1
model_name: junhua024-chai-02-full-062_v1
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-16T13:40:10+00:00
num_battles: 7694
num_wins: 3735
celo_rating: 1280.21
family_friendly_score: 0.5434
family_friendly_standard_error: 0.007044379887541557
submission_type: basic
model_repo: junhua024/chai_02_full_062
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': 0.5971362593549239, 'latency_mean': 1.6744870734214783, 'latency_p50': 1.6572469472885132, 'latency_p90': 1.867383337020874}, {'batch_size': 3, 'throughput': 1.0737097164718128, 'latency_mean': 2.7804325127601626, 'latency_p50': 2.785161018371582, 'latency_p90': 3.0565932750701905}, {'batch_size': 5, 'throughput': 1.2932891179739316, 'latency_mean': 3.8455204439163206, 'latency_p50': 3.8680717945098877, 'latency_p90': 4.287270998954773}, {'batch_size': 6, 'throughput': 1.3415559142303177, 'latency_mean': 4.438296103477478, 'latency_p50': 4.4498374462127686, 'latency_p90': 5.012786173820496}, {'batch_size': 8, 'throughput': 1.419306599493099, 'latency_mean': 5.591992416381836, 'latency_p50': 5.5956902503967285, 'latency_p90': 6.204945635795593}, {'batch_size': 10, 'throughput': 1.4535450756814103, 'latency_mean': 6.8207696294784546, 'latency_p50': 6.85736608505249, 'latency_p90': 7.584759616851806}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-062_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_062
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-16
win_ratio: 0.485443202495451
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-02-full-062-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-062-v1-mkmlizer to finish
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junhua024-chai-02-full-062-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-062-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-062-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-062-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-062-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-062-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-062-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-062-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-062-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-062-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-062-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-062-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-062-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-062-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-062-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-061_v1: HTTPConnectionPool(host='junhua024-chai-02-full-061-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-v1-mkmlizer: Downloaded to shared memory in 126.102s
junhua024-chai-02-full-062-v1-mkmlizer: Checking if junhua024/chai_02_full_062 already exists in ChaiML
junhua024-chai-02-full-062-v1-mkmlizer: Creating repo ChaiML/chai_02_full_062 and uploading /tmp/tmpozrpu942 to it
junhua024-chai-02-full-062-v1-mkmlizer: 
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junhua024-chai-02-full-062-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpozrpu942, device:0
junhua024-chai-02-full-062-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-062-v1-mkmlizer: quantized model in 30.796s
junhua024-chai-02-full-062-v1-mkmlizer: Processed model junhua024/chai_02_full_062 in 253.718s
junhua024-chai-02-full-062-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-062-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-062-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-062-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v1/nvidia/tokenizer.json
junhua024-chai-02-full-062-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-062-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-062-v1-mkmlizer: 
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Job junhua024-chai-02-full-062-v1-mkmlizer completed after 272.98s with status: succeeded
Stopping job with name junhua024-chai-02-full-062-v1-mkmlizer
Pipeline stage MKMLizer completed in 273.95s
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-02-full-062-v1
Waiting for inference service junhua024-chai-02-full-062-v1 to be ready
Failed to get response for submission junhua024-chai-02-full-061_v1: HTTPConnectionPool(host='junhua024-chai-02-full-061-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-02-full-062-v1 ready after 261.45796942710876s
Pipeline stage MKMLDeployer completed in 262.03s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.376102924346924s
Received healthy response to inference request in 1.6575195789337158s
Received healthy response to inference request in 1.7268352508544922s
Received healthy response to inference request in 1.6939611434936523s
Received healthy response to inference request in 1.8626735210418701s
5 requests
0 failed requests
5th percentile: 1.6648078918457032
10th percentile: 1.6720962047576904
20th percentile: 1.686672830581665
30th percentile: 1.7005359649658203
40th percentile: 1.7136856079101563
50th percentile: 1.7268352508544922
60th percentile: 1.7811705589294433
70th percentile: 1.8355058670043944
80th percentile: 1.965359401702881
90th percentile: 2.1707311630249024
95th percentile: 2.273417043685913
99th percentile: 2.3555657482147216
mean time: 1.8634184837341308
Pipeline stage StressChecker completed in 10.90s
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 1.54s
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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 0.71s
Shutdown handler de-registered
junhua024-chai-02-full-062_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
Pipeline stage OfflineFamilyFriendlyScorer completed in 6274.67s
Shutdown handler de-registered
junhua024-chai-02-full-062_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-062_v1 status is now torndown due to DeploymentManager action
junhua024-chai-02-full-062_v1 status is now torndown due to DeploymentManager action