junhua024-chai-06-full-_23800

developer_uid: junhua024

submission_id: junhua024-chai-06-full-_23800_v2

model_name: junhua024-chai-06-full-_23800_v2

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-17T16:32:35+00:00

num_battles: 6170

num_wins: 3200

celo_rating: 1283.06

family_friendly_score: 0.5522

family_friendly_standard_error: 0.007032427177013638

submission_type: basic

model_repo: junhua024/chai_06_full_02102_1619_2124

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': 0.5921755360394334, 'latency_mean': 1.688572098016739, 'latency_p50': 1.6906269788742065, 'latency_p90': 1.8478895902633667}, {'batch_size': 3, 'throughput': 1.0650097365787274, 'latency_mean': 2.8074267280101775, 'latency_p50': 2.803529739379883, 'latency_p90': 3.0580507040023805}, {'batch_size': 5, 'throughput': 1.2641146525911362, 'latency_mean': 3.93459721326828, 'latency_p50': 3.9845473766326904, 'latency_p90': 4.37781593799591}, {'batch_size': 6, 'throughput': 1.3304674190107042, 'latency_mean': 4.475734740495682, 'latency_p50': 4.4932109117507935, 'latency_p90': 4.961253595352173}, {'batch_size': 8, 'throughput': 1.3943346660470184, 'latency_mean': 5.700142875909806, 'latency_p50': 5.6921186447143555, 'latency_p90': 6.331196022033691}, {'batch_size': 10, 'throughput': 1.4415323286730168, 'latency_mean': 6.885599533319473, 'latency_p50': 6.833048105239868, 'latency_p90': 7.835129284858704}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full-_23800_v2

is_internal_developer: False

language_model: junhua024/chai_06_full_02102_1619_2124

model_size: 13B

ranking_group: single

throughput_3p7s: 1.24

us_pacific_date: 2025-07-17

win_ratio: 0.5186385737439222

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-23800-v2-mkmlizer
Waiting for job on junhua024-chai-06-full-23800-v2-mkmlizer to finish
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junhua024-chai-06-full-23800-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-23800-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-23800-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-23800-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-23800-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-23800-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-23800-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-23800-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-23800-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-23800-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-23800-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-23800-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-23800-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-23800-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-23800-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-23800-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-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-23800-v2-mkmlizer: Downloaded to shared memory in 488.491s
junhua024-chai-06-full-23800-v2-mkmlizer: Checking if junhua024/chai_06_full_02102_1619_2124 already exists in ChaiML
junhua024-chai-06-full-23800-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptexu27i9, device:0
junhua024-chai-06-full-23800-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-23800-v2-mkmlizer: quantized model in 31.949s
junhua024-chai-06-full-23800-v2-mkmlizer: Processed model junhua024/chai_06_full_02102_1619_2124 in 520.544s
junhua024-chai-06-full-23800-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-23800-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-23800-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v2/nvidia
junhua024-chai-06-full-23800-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v2/nvidia/config.json
junhua024-chai-06-full-23800-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v2/nvidia/special_tokens_map.json
junhua024-chai-06-full-23800-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v2/nvidia/tokenizer_config.json
junhua024-chai-06-full-23800-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v2/nvidia/tokenizer.json
junhua024-chai-06-full-23800-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-23800-v2-mkmlizer: 
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Job junhua024-chai-06-full-23800-v2-mkmlizer completed after 546.14s with status: succeeded
Stopping job with name junhua024-chai-06-full-23800-v2-mkmlizer
Pipeline stage MKMLizer completed in 546.71s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-23800-v2
Waiting for inference service junhua024-chai-06-full-23800-v2 to be ready
Inference service junhua024-chai-06-full-23800-v2 ready after 311.0998797416687s
Pipeline stage MKMLDeployer completed in 311.67s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.8677353858947754s
Received healthy response to inference request in 1.7887909412384033s
Received healthy response to inference request in 6.769035339355469s
Received healthy response to inference request in 1.9745936393737793s
Received healthy response to inference request in 1.8835160732269287s
5 requests
0 failed requests
5th percentile: 1.8077359676361084
10th percentile: 1.8266809940338136
20th percentile: 1.8645710468292236
30th percentile: 1.901731586456299
40th percentile: 1.938162612915039
50th percentile: 1.9745936393737793
60th percentile: 2.3318503379821776
70th percentile: 2.689107036590576
80th percentile: 3.647995376586915
90th percentile: 5.208515357971192
95th percentile: 5.98877534866333
99th percentile: 6.612983341217041
mean time: 3.0567342758178713
Pipeline stage StressChecker completed in 17.19s
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 0.72s
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 0.73s
Shutdown handler de-registered
junhua024-chai-06-full-_23800_v2 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 2915.75s
Shutdown handler de-registered
junhua024-chai-06-full-_23800_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_23800_v2 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_23800_v2 status is now torndown due to DeploymentManager action