junhua024-chai-1-full_94469

developer_uid: junhua024

submission_id: junhua024-chai-1-full_94469_v124

model_name: junhua024-chai-1-full_94469_v124

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-18T07:44:45+00:00

num_battles: 7752

num_wins: 3709

celo_rating: 1271.37

family_friendly_score: 0.5514

family_friendly_standard_error: 0.007033605618742069

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': 0.6010609579197214, 'latency_mean': 1.6636030888557434, 'latency_p50': 1.6472254991531372, 'latency_p90': 1.8284440755844116}, {'batch_size': 3, 'throughput': 1.0746032920225115, 'latency_mean': 2.7843914186954497, 'latency_p50': 2.7715104818344116, 'latency_p90': 3.0507354497909547}, {'batch_size': 5, 'throughput': 1.2919194770579348, 'latency_mean': 3.8466617929935456, 'latency_p50': 3.8478459119796753, 'latency_p90': 4.3611046314239506}, {'batch_size': 6, 'throughput': 1.3417917005900517, 'latency_mean': 4.435626256465912, 'latency_p50': 4.44846510887146, 'latency_p90': 4.955474472045898}, {'batch_size': 8, 'throughput': 1.4092817834566769, 'latency_mean': 5.629700670242309, 'latency_p50': 5.648587107658386, 'latency_p90': 6.375721716880798}, {'batch_size': 10, 'throughput': 1.43308078111797, 'latency_mean': 6.921418993473053, 'latency_p50': 6.948888421058655, 'latency_p90': 7.735701060295105}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full_94469_v124

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-07-18

win_ratio: 0.47845717234262125

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-94469-v124-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v124-mkmlizer to finish
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junhua024-chai-1-full-94469-v124-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-94469-v124-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-94469-v124-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v124-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-94469-v124-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-94469-v124-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-94469-v124-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-94469-v124-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v124-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-94469-v124-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-94469-v124-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v124-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-94469-v124-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-94469-v124-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-94469-v124-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v124-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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`
Failed to get response for submission zmeeks-capitancito_v20: HTTPConnectionPool(host='zmeeks-capitancito-v20-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-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-94469-v124-mkmlizer: Downloaded to shared memory in 77.996s
junhua024-chai-1-full-94469-v124-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-94469-v124-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpl1pu6cur, device:0
junhua024-chai-1-full-94469-v124-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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', '')
junhua024-chai-1-full-94469-v124-mkmlizer: quantized model in 32.262s
junhua024-chai-1-full-94469-v124-mkmlizer: Processed model junhua024/chai-1-full-066126 in 110.366s
junhua024-chai-1-full-94469-v124-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v124-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v124-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v124/nvidia
junhua024-chai-1-full-94469-v124-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v124/nvidia/config.json
junhua024-chai-1-full-94469-v124-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v124/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v124-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v124/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v124-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v124/nvidia/tokenizer.json
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Job junhua024-chai-1-full-94469-v124-mkmlizer completed after 140.34s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v124-mkmlizer
Pipeline stage MKMLizer completed in 140.84s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.53s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-94469-v124
Waiting for inference service junhua024-chai-1-full-94469-v124 to be ready
Failed to get response for submission zmeeks-capitancito_v20: HTTPConnectionPool(host='zmeeks-capitancito-v20-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitancito_v19: HTTPConnectionPool(host='zmeeks-capitancito-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-94469-v124 ready after 322.19886541366577s
Pipeline stage MKMLDeployer completed in 322.80s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7313716411590576s
Received healthy response to inference request in 1.8144664764404297s
Received healthy response to inference request in 1.7585976123809814s
Received healthy response to inference request in 1.7121608257293701s
Received healthy response to inference request in 2.29797625541687s
5 requests
0 failed requests
5th percentile: 1.7214481830596924
10th percentile: 1.7307355403900146
20th percentile: 1.7493102550506592
30th percentile: 1.7697713851928711
40th percentile: 1.7921189308166503
50th percentile: 1.8144664764404297
60th percentile: 2.007870388031006
70th percentile: 2.201274299621582
80th percentile: 2.3846553325653077
90th percentile: 2.5580134868621824
95th percentile: 2.64469256401062
99th percentile: 2.71403582572937
mean time: 2.062914562225342
Pipeline stage StressChecker completed in 12.30s
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 0.69s
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-1-full_94469_v124 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 5249.73s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v124 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full_94469_v124 status is now torndown due to DeploymentManager action
junhua024-chai-1-full_94469_v124 status is now torndown due to DeploymentManager action