junhua024-chai-16-full-_69709

developer_uid: junhua024

submission_id: junhua024-chai-16-full-_69709_v3

model_name: junhua024-chai-16-full-_69709_v3

model_group: junhua024/chai_16_full_1

status: torndown

timestamp: 2025-07-19T16:43:11+00:00

num_battles: 6470

num_wins: 3464

celo_rating: 1271.58

family_friendly_score: 0.5584

family_friendly_standard_error: 0.007022669577874214

submission_type: basic

model_repo: junhua024/chai_16_full_104_o_ffn_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': 0.5914339523884503, 'latency_mean': 1.6906157457828521, 'latency_p50': 1.68959379196167, 'latency_p90': 1.8665367126464845}, {'batch_size': 3, 'throughput': 1.0722417917020288, 'latency_mean': 2.7882478964328765, 'latency_p50': 2.776877760887146, 'latency_p90': 3.1334786891937254}, {'batch_size': 5, 'throughput': 1.2952976018446147, 'latency_mean': 3.8322659862041473, 'latency_p50': 3.8188034296035767, 'latency_p90': 4.342972588539124}, {'batch_size': 6, 'throughput': 1.3576258566772261, 'latency_mean': 4.39804773926735, 'latency_p50': 4.4080376625061035, 'latency_p90': 5.004592537879944}, {'batch_size': 8, 'throughput': 1.4272029797239456, 'latency_mean': 5.561456892490387, 'latency_p50': 5.5580527782440186, 'latency_p90': 6.258219647407532}, {'batch_size': 10, 'throughput': 1.4459251261397652, 'latency_mean': 6.857334582805634, 'latency_p50': 6.887881278991699, 'latency_p90': 7.674737000465393}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-16-full-_69709_v3

is_internal_developer: False

language_model: junhua024/chai_16_full_104_o_ffn_1925

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-07-19

win_ratio: 0.5353941267387944

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-16-full-69709-v3-mkmlizer
Waiting for job on junhua024-chai-16-full-69709-v3-mkmlizer to finish
junhua024-chai-16-full-69709-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-69709-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-69709-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-69709-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-69709-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-69709-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-69709-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-69709-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-69709-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-69709-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-69709-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-69709-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-69709-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-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-16-full-69709-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpj7s3kjqp, device:0
junhua024-chai-16-full-69709-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission junhua024-chai-16-full-_74386_v2: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-69709-v3-mkmlizer: quantized model in 33.088s
junhua024-chai-16-full-69709-v3-mkmlizer: Processed model junhua024/chai_16_full_104_o_ffn_1925 in 108.567s
junhua024-chai-16-full-69709-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-69709-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-69709-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v3/nvidia
junhua024-chai-16-full-69709-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v3/nvidia/config.json
junhua024-chai-16-full-69709-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v3/nvidia/special_tokens_map.json
junhua024-chai-16-full-69709-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v3/nvidia/tokenizer_config.json
junhua024-chai-16-full-69709-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v3/nvidia/tokenizer.json
junhua024-chai-16-full-69709-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-69709-v3-mkmlizer: 
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Job junhua024-chai-16-full-69709-v3-mkmlizer completed after 139.4s with status: succeeded
Stopping job with name junhua024-chai-16-full-69709-v3-mkmlizer
Pipeline stage MKMLizer completed in 140.05s
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-16-full-69709-v3
Waiting for inference service junhua024-chai-16-full-69709-v3 to be ready
Failed to get response for submission junhua024-chai-16-full-_74386_v4: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_74386_v2: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-16-full-69709-v3 ready after 332.2857677936554s
Pipeline stage MKMLDeployer completed in 332.75s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5209474563598633s
Received healthy response to inference request in 2.2533650398254395s
Received healthy response to inference request in 1.5546984672546387s
Received healthy response to inference request in 1.7389271259307861s
Received healthy response to inference request in 1.708470106124878s
5 requests
0 failed requests
5th percentile: 1.5854527950286865
10th percentile: 1.6162071228027344
20th percentile: 1.67771577835083
30th percentile: 1.7145615100860596
40th percentile: 1.7267443180084228
50th percentile: 1.7389271259307861
60th percentile: 1.9447022914886474
70th percentile: 2.1504774570465086
80th percentile: 2.3068815231323243
90th percentile: 2.4139144897460936
95th percentile: 2.4674309730529784
99th percentile: 2.510244159698486
mean time: 1.955281639099121
Pipeline stage StressChecker completed in 11.69s
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 1.57s
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-16-full-_69709_v3 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 2970.09s
Shutdown handler de-registered
junhua024-chai-16-full-_69709_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_69709_v3 status is now torndown due to DeploymentManager action