junhua024-chai-06-full_30622

developer_uid: junhua024

submission_id: junhua024-chai-06-full_30622_v16

model_name: junhua024-chai-06-full_30622_v16

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-18T13:27:55+00:00

num_battles: 6144

num_wins: 3021

celo_rating: 1283.55

family_friendly_score: 0.5569999999999999

family_friendly_standard_error: 0.007024969750824553

submission_type: basic

model_repo: junhua024/chai_06_full_02102_1925

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': 0.6035195613377153, 'latency_mean': 1.6568417596817016, 'latency_p50': 1.656402349472046, 'latency_p90': 1.8370038032531737}, {'batch_size': 3, 'throughput': 1.0779630846659767, 'latency_mean': 2.770444719791412, 'latency_p50': 2.7834689617156982, 'latency_p90': 3.033906173706055}, {'batch_size': 5, 'throughput': 1.2935513498154445, 'latency_mean': 3.8405015802383424, 'latency_p50': 3.8333566188812256, 'latency_p90': 4.364248633384705}, {'batch_size': 6, 'throughput': 1.3567193380917382, 'latency_mean': 4.389532743692398, 'latency_p50': 4.348387360572815, 'latency_p90': 4.989578580856323}, {'batch_size': 8, 'throughput': 1.4173144958833446, 'latency_mean': 5.607089374065399, 'latency_p50': 5.5781489610672, 'latency_p90': 6.26578574180603}, {'batch_size': 10, 'throughput': 1.452011962603591, 'latency_mean': 6.8306034827232365, 'latency_p50': 6.769925832748413, 'latency_p90': 7.687706160545349}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full_30622_v16

is_internal_developer: False

language_model: junhua024/chai_06_full_02102_1925

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-07-18

win_ratio: 0.49169921875

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-30622-v16-mkmlizer
Waiting for job on junhua024-chai-06-full-30622-v16-mkmlizer to finish
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junhua024-chai-06-full-30622-v16-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-30622-v16-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-30622-v16-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v16-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-30622-v16-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-30622-v16-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-30622-v16-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-30622-v16-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v16-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-30622-v16-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-30622-v16-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v16-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-30622-v16-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-30622-v16-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-30622-v16-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v16-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-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-30622-v16-mkmlizer: Downloaded to shared memory in 95.501s
junhua024-chai-06-full-30622-v16-mkmlizer: Checking if junhua024/chai_06_full_02102_1925 already exists in ChaiML
junhua024-chai-06-full-30622-v16-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9nvti7pb, device:0
junhua024-chai-06-full-30622-v16-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-30622-v16-mkmlizer: quantized model in 31.038s
junhua024-chai-06-full-30622-v16-mkmlizer: Processed model junhua024/chai_06_full_02102_1925 in 126.600s
junhua024-chai-06-full-30622-v16-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-30622-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v16/nvidia/tokenizer.json
junhua024-chai-06-full-30622-v16-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v16/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-30622-v16-mkmlizer: 
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Job junhua024-chai-06-full-30622-v16-mkmlizer completed after 159.37s with status: succeeded
Stopping job with name junhua024-chai-06-full-30622-v16-mkmlizer
Pipeline stage MKMLizer completed in 159.96s
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-06-full-30622-v16
Waiting for inference service junhua024-chai-06-full-30622-v16 to be ready
Failed to get response for submission chaiml-bat-boys-azeril-_87348_v1: ('http://chaiml-bat-boys-azeril-87348-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service junhua024-chai-06-full-30622-v16 ready after 321.60982728004456s
Pipeline stage MKMLDeployer completed in 322.13s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.591318368911743s
Received healthy response to inference request in 2.0283095836639404s
Received healthy response to inference request in 1.9973523616790771s
Received healthy response to inference request in 1.64805269241333s
Received healthy response to inference request in 1.5874741077423096s
5 requests
0 failed requests
5th percentile: 1.5995898246765137
10th percentile: 1.6117055416107178
20th percentile: 1.635936975479126
30th percentile: 1.7179126262664794
40th percentile: 1.8576324939727784
50th percentile: 1.9973523616790771
60th percentile: 2.0097352504730224
70th percentile: 2.0221181392669676
80th percentile: 2.140911340713501
90th percentile: 2.366114854812622
95th percentile: 2.4787166118621826
99th percentile: 2.5687980175018312
mean time: 1.97050142288208
Pipeline stage StressChecker completed in 11.33s
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 0.67s
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 0.71s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v16 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 3146.64s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v16 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full_30622_v16 status is now torndown due to DeploymentManager action
junhua024-chai-06-full_30622_v16 status is now torndown due to DeploymentManager action