junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v55

model_name: junhua024-chai-1-full-066126_v55

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T09:25:59+00:00

num_battles: 10841

num_wins: 5254

celo_rating: 1273.9

family_friendly_score: 0.5546

family_friendly_standard_error: 0.007028781402206217

submission_type: basic

model_repo: junhua024/chai-1-full-066126

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': 0.5888473196182172, 'latency_mean': 1.6981157231330872, 'latency_p50': 1.6961649656295776, 'latency_p90': 1.8747002363204956}, {'batch_size': 3, 'throughput': 1.0634307989731562, 'latency_mean': 2.8109673964977264, 'latency_p50': 2.8223477602005005, 'latency_p90': 3.0776113510131835}, {'batch_size': 5, 'throughput': 1.2584266677431426, 'latency_mean': 3.9645216846466065, 'latency_p50': 3.9534350633621216, 'latency_p90': 4.373331069946289}, {'batch_size': 6, 'throughput': 1.316477164453704, 'latency_mean': 4.528040190935135, 'latency_p50': 4.538883328437805, 'latency_p90': 5.091661810874939}, {'batch_size': 8, 'throughput': 1.3693509989118382, 'latency_mean': 5.802553331851959, 'latency_p50': 5.797744393348694, 'latency_p90': 6.527446913719177}, {'batch_size': 10, 'throughput': 1.4079375913015044, 'latency_mean': 7.035807198286056, 'latency_p50': 7.0745203495025635, 'latency_p90': 7.943353986740112}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v55

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.23

us_pacific_date: 2025-07-15

win_ratio: 0.48464163822525597

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-1-full-066126-v55-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v55-mkmlizer to finish
junhua024-chai-1-full-066126-v55-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v55-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v55-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v55-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v55-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v55-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v55-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v55-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v55-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v55-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v55-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v55-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v55-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v55-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v55-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v55-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v55-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-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-066126-v55-mkmlizer: Downloaded to shared memory in 77.946s
junhua024-chai-1-full-066126-v55-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v55-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1fw4k_1o, device:0
junhua024-chai-1-full-066126-v55-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v55-mkmlizer: quantized model in 31.651s
junhua024-chai-1-full-066126-v55-mkmlizer: Processed model junhua024/chai-1-full-066126 in 109.672s
junhua024-chai-1-full-066126-v55-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v55-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v55-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v55/nvidia
junhua024-chai-1-full-066126-v55-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v55/nvidia/config.json
junhua024-chai-1-full-066126-v55-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v55/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v55-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v55/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v55-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v55/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v55-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v55/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v55-mkmlizer completed after 139.37s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v55-mkmlizer
Pipeline stage MKMLizer completed in 139.93s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v55
Waiting for inference service junhua024-chai-1-full-066126-v55 to be ready
Inference service junhua024-chai-1-full-066126-v55 ready after 241.25154209136963s
Pipeline stage MKMLDeployer completed in 241.87s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2753279209136963s
Received healthy response to inference request in 1.7197401523590088s
Received healthy response to inference request in 1.9224634170532227s
Received healthy response to inference request in 1.699615240097046s
Received healthy response to inference request in 1.7317237854003906s
5 requests
0 failed requests
5th percentile: 1.7036402225494385
10th percentile: 1.707665205001831
20th percentile: 1.7157151699066162
30th percentile: 1.722136878967285
40th percentile: 1.7269303321838378
50th percentile: 1.7317237854003906
60th percentile: 1.8080196380615234
70th percentile: 1.8843154907226562
80th percentile: 1.9930363178253174
90th percentile: 2.1341821193695067
95th percentile: 2.2047550201416013
99th percentile: 2.2612133407592774
mean time: 1.8697741031646729
Pipeline stage StressChecker completed in 11.21s
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
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.92s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v55 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 5165.88s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v55 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v55 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v55 status is now torndown due to DeploymentManager action