junhua024-chai-02-full-02-012

developer_uid: junhua024
submission_id: junhua024-chai-02-full-02-012_v1
model_name: junhua024-chai-02-full-02-012_v1
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-23T10:37:48+00:00
num_battles: 5895
num_wins: 2875
celo_rating: 1267.95
family_friendly_score: 0.5860000000000001
family_friendly_standard_error: 0.006965687331484238
submission_type: basic
model_repo: junhua024/chai_02_full_02_012
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': 0.6696955863877655, 'latency_mean': 1.4931128108501435, 'latency_p50': 1.48797607421875, 'latency_p90': 1.638682198524475}, {'batch_size': 3, 'throughput': 1.144730375219459, 'latency_mean': 2.6094459891319275, 'latency_p50': 2.5964568853378296, 'latency_p90': 2.8645002841949463}, {'batch_size': 5, 'throughput': 1.3547698768434187, 'latency_mean': 3.6750429844856263, 'latency_p50': 3.6381771564483643, 'latency_p90': 4.182297492027283}, {'batch_size': 6, 'throughput': 1.3885767314452837, 'latency_mean': 4.302253032922745, 'latency_p50': 4.291948318481445, 'latency_p90': 4.804983496665955}, {'batch_size': 8, 'throughput': 1.4395050073373998, 'latency_mean': 5.517588926553726, 'latency_p50': 5.523589134216309, 'latency_p90': 6.150089979171753}, {'batch_size': 10, 'throughput': 1.4845196799356253, 'latency_mean': 6.686097444295883, 'latency_p50': 6.684363842010498, 'latency_p90': 7.567291808128357}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-02-012_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_02_012
model_size: 13B
ranking_group: single
throughput_3p7s: 1.36
us_pacific_date: 2025-07-23
win_ratio: 0.48770144189991516
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.1, '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-02-012-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-02-012-v1-mkmlizer to finish
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junhua024-chai-02-full-02-012-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-02-012-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-02-012-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-012-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-02-012-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-02-012-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-02-012-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-02-012-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-012-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-02-012-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-02-012-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-012-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-02-012-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-02-012-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-02-012-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-012-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-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-02-012-v1-mkmlizer: Downloaded to shared memory in 123.498s
junhua024-chai-02-full-02-012-v1-mkmlizer: Checking if junhua024/chai_02_full_02_012 already exists in ChaiML
junhua024-chai-02-full-02-012-v1-mkmlizer: Creating repo ChaiML/chai_02_full_02_012 and uploading /tmp/tmpkd25gpmc to it
junhua024-chai-02-full-02-012-v1-mkmlizer: 
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junhua024-chai-02-full-02-012-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpkd25gpmc, device:0
junhua024-chai-02-full-02-012-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-02-full-02-012-v1-mkmlizer: quantized model in 158.565s
junhua024-chai-02-full-02-012-v1-mkmlizer: Processed model junhua024/chai_02_full_02_012 in 372.205s
junhua024-chai-02-full-02-012-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-02-012-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-02-012-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-02-012-v1/nvidia
junhua024-chai-02-full-02-012-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-012-v1/nvidia/config.json
junhua024-chai-02-full-02-012-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-012-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-02-012-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-012-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-02-012-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-012-v1/nvidia/tokenizer.json
junhua024-chai-02-full-02-012-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-02-012-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-02-012-v1-mkmlizer completed after 397.61s with status: succeeded
Stopping job with name junhua024-chai-02-full-02-012-v1-mkmlizer
Pipeline stage MKMLizer completed in 398.21s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-02-012-v1
Waiting for inference service junhua024-chai-02-full-02-012-v1 to be ready
Inference service junhua024-chai-02-full-02-012-v1 ready after 180.65997338294983s
Pipeline stage MKMLDeployer completed in 181.49s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.7003936767578125s
Received healthy response to inference request in 1.5644476413726807s
Received healthy response to inference request in 1.990074872970581s
Received healthy response to inference request in 2.528102397918701s
Received healthy response to inference request in 1.4155125617980957s
5 requests
0 failed requests
5th percentile: 1.4452995777130127
10th percentile: 1.4750865936279296
20th percentile: 1.5346606254577637
30th percentile: 1.6495730876922607
40th percentile: 1.819823980331421
50th percentile: 1.990074872970581
60th percentile: 2.205285882949829
70th percentile: 2.420496892929077
80th percentile: 2.7625606536865237
90th percentile: 3.231477165222168
95th percentile: 3.46593542098999
99th percentile: 3.653502025604248
mean time: 2.2397062301635744
Pipeline stage StressChecker completed in 12.95s
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 0.79s
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 0.74s
Shutdown handler de-registered
junhua024-chai-02-full-02-012_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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3130.98s
Shutdown handler de-registered
junhua024-chai-02-full-02-012_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-02-012_v1 status is now torndown due to DeploymentManager action