junhua024-chai-1-full-002

developer_uid: junhua024
submission_id: junhua024-chai-1-full-002_v23
model_name: junhua024-chai-1-full-002_v23
model_group: junhua024/chai_1-full_00
status: torndown
timestamp: 2025-06-29T09:14:52+00:00
num_battles: 7882
num_wins: 3707
celo_rating: 1252.09
family_friendly_score: 0.5902000000000001
family_friendly_standard_error: 0.006955055139968338
submission_type: basic
model_repo: junhua024/chai_1-full_002
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': 0.5957048030279085, 'latency_mean': 1.6785692644119263, 'latency_p50': 1.6855146884918213, 'latency_p90': 1.842403769493103}, {'batch_size': 3, 'throughput': 1.0576392558380838, 'latency_mean': 2.81947193980217, 'latency_p50': 2.8466821908950806, 'latency_p90': 3.113207292556763}, {'batch_size': 5, 'throughput': 1.2830802265772578, 'latency_mean': 3.881149610280991, 'latency_p50': 3.88292920589447, 'latency_p90': 4.332603621482849}, {'batch_size': 6, 'throughput': 1.3371549964351732, 'latency_mean': 4.458348245620727, 'latency_p50': 4.461084365844727, 'latency_p90': 4.947347021102905}, {'batch_size': 8, 'throughput': 1.4029486706382466, 'latency_mean': 5.661183714866638, 'latency_p50': 5.611712574958801, 'latency_p90': 6.348258543014526}, {'batch_size': 10, 'throughput': 1.4516960120853482, 'latency_mean': 6.82354244351387, 'latency_p50': 6.732881307601929, 'latency_p90': 7.700341534614562}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-002_v23
is_internal_developer: False
language_model: junhua024/chai_1-full_002
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-06-29
win_ratio: 0.4703121035270236
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.22, 'top_k': 40, '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-002-v23-mkmlizer
Waiting for job on junhua024-chai-1-full-002-v23-mkmlizer to finish
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junhua024-chai-1-full-002-v23-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-002-v23-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v23-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-002-v23-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-002-v23-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-002-v23-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-002-v23-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v23-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-002-v23-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-002-v23-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v23-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-002-v23-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-002-v23-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-002-v23-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v23-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-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-002-v23-mkmlizer: Downloaded to shared memory in 80.247s
junhua024-chai-1-full-002-v23-mkmlizer: Checking if junhua024/chai_1-full_002 already exists in ChaiML
junhua024-chai-1-full-002-v23-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp931lhoif, device:0
junhua024-chai-1-full-002-v23-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-002-v23-mkmlizer: quantized model in 31.496s
junhua024-chai-1-full-002-v23-mkmlizer: Processed model junhua024/chai_1-full_002 in 111.827s
junhua024-chai-1-full-002-v23-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-002-v23-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-002-v23-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-002-v23
junhua024-chai-1-full-002-v23-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v23/config.json
junhua024-chai-1-full-002-v23-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v23/special_tokens_map.json
junhua024-chai-1-full-002-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v23/tokenizer_config.json
junhua024-chai-1-full-002-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v23/tokenizer.json
junhua024-chai-1-full-002-v23-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-002-v23/flywheel_model.0.safetensors
junhua024-chai-1-full-002-v23-mkmlizer: 
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Job junhua024-chai-1-full-002-v23-mkmlizer completed after 137.68s with status: succeeded
Stopping job with name junhua024-chai-1-full-002-v23-mkmlizer
Pipeline stage MKMLizer completed in 138.40s
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-1-full-002-v23
Waiting for inference service junhua024-chai-1-full-002-v23 to be ready
Inference service junhua024-chai-1-full-002-v23 ready after 181.4994089603424s
Pipeline stage MKMLDeployer completed in 181.98s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.5189201831817627s
Received healthy response to inference request in 1.651453971862793s
Received healthy response to inference request in 1.5252695083618164s
Received healthy response to inference request in 1.6109271049499512s
5 requests
1 failed requests
5th percentile: 1.5424010276794433
10th percentile: 1.5595325469970702
20th percentile: 1.5937955856323243
30th percentile: 1.6190324783325196
40th percentile: 1.6352432250976563
50th percentile: 1.651453971862793
60th percentile: 1.9984404563903808
70th percentile: 2.3454269409179687
80th percentile: 6.059623813629154
90th percentile: 13.141031074523926
95th percentile: 16.681734704971312
99th percentile: 19.514297609329223
mean time: 5.505801820755005
%s, retrying in %s seconds...
Received healthy response to inference request in 1.569394826889038s
Received healthy response to inference request in 1.4577980041503906s
Received healthy response to inference request in 1.6929490566253662s
Received healthy response to inference request in 1.8212864398956299s
Received healthy response to inference request in 1.581697702407837s
5 requests
0 failed requests
5th percentile: 1.4801173686981202
10th percentile: 1.5024367332458497
20th percentile: 1.5470754623413085
30th percentile: 1.571855401992798
40th percentile: 1.5767765522003174
50th percentile: 1.581697702407837
60th percentile: 1.6261982440948486
70th percentile: 1.6706987857818603
80th percentile: 1.718616533279419
90th percentile: 1.7699514865875243
95th percentile: 1.795618963241577
99th percentile: 1.8161529445648192
mean time: 1.6246252059936523
Pipeline stage StressChecker completed in 38.78s
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-002_v23 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 3380.39s
Shutdown handler de-registered
junhua024-chai-1-full-002_v23 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-002_v23 status is now torndown due to DeploymentManager action