junhua024-chai-12-full-16

developer_uid: junhua024
submission_id: junhua024-chai-12-full-16_v3
model_name: junhua024-chai-12-full-16_v3
model_group: junhua024/chai_12_full_1
status: torndown
timestamp: 2025-07-28T03:03:41+00:00
num_battles: 5944
num_wins: 3079
celo_rating: 1277.34
family_friendly_score: 0.5804
family_friendly_standard_error: 0.006979052084631551
submission_type: basic
model_repo: junhua024/chai_12_full_16
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
display_name: junhua024-chai-12-full-16_v3
is_internal_developer: False
language_model: junhua024/chai_12_full_16
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-27
win_ratio: 0.5180013458950202
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity. Each of your responses should be fewer than 64 tokens long.", '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-12-full-16-v3-mkmlizer
Waiting for job on junhua024-chai-12-full-16-v3-mkmlizer to finish
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junhua024-chai-12-full-16-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-16-v3-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-16-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-16-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-16-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-16-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-16-v3-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-16-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-16-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-16-v3-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-16-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-16-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-16-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-16-v3-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-16-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-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-12-full-16-v3-mkmlizer: Downloaded to shared memory in 91.099s
junhua024-chai-12-full-16-v3-mkmlizer: Checking if junhua024/chai_12_full_16 already exists in ChaiML
junhua024-chai-12-full-16-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpt6bklbv4, device:0
junhua024-chai-12-full-16-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-16-v3-mkmlizer: quantized model in 163.467s
junhua024-chai-12-full-16-v3-mkmlizer: Processed model junhua024/chai_12_full_16 in 254.654s
junhua024-chai-12-full-16-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-16-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-16-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-16-v3/nvidia
junhua024-chai-12-full-16-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-16-v3/nvidia/config.json
junhua024-chai-12-full-16-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-16-v3/nvidia/special_tokens_map.json
junhua024-chai-12-full-16-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-16-v3/nvidia/tokenizer_config.json
junhua024-chai-12-full-16-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-16-v3/nvidia/tokenizer.json
junhua024-chai-12-full-16-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-16-v3/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-16-v3-mkmlizer completed after 282.96s with status: succeeded
Stopping job with name junhua024-chai-12-full-16-v3-mkmlizer
Pipeline stage MKMLizer completed in 283.92s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-12-full-16-v3
Waiting for inference service junhua024-chai-12-full-16-v3 to be ready
Inference service junhua024-chai-12-full-16-v3 ready after 210.71582412719727s
Pipeline stage MKMLDeployer completed in 211.30s
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 7.809747695922852s
Received healthy response to inference request in 1.5014359951019287s
Received healthy response to inference request in 2.5742075443267822s
Received healthy response to inference request in 7.235836744308472s
5 requests
1 failed requests
5th percentile: 1.7159903049468994
10th percentile: 1.9305446147918701
20th percentile: 2.3596532344818115
30th percentile: 3.50653338432312
40th percentile: 5.371185064315796
50th percentile: 7.235836744308472
60th percentile: 7.465401124954224
70th percentile: 7.694965505599975
80th percentile: 10.283665609359744
90th percentile: 15.231501436233522
95th percentile: 17.705419349670407
99th percentile: 19.68455368041992
mean time: 7.860113048553467
%s, retrying in %s seconds...
Received healthy response to inference request in 1.8398547172546387s
Received healthy response to inference request in 6.967374324798584s
Received healthy response to inference request in 1.4715049266815186s
Received healthy response to inference request in 8.227287769317627s
Received healthy response to inference request in 1.7672581672668457s
5 requests
0 failed requests
5th percentile: 1.530655574798584
10th percentile: 1.5898062229156493
20th percentile: 1.7081075191497803
30th percentile: 1.7817774772644044
40th percentile: 1.8108160972595215
50th percentile: 1.8398547172546387
60th percentile: 3.8908625602722164
70th percentile: 5.941870403289794
80th percentile: 7.219357013702393
90th percentile: 7.72332239151001
95th percentile: 7.975305080413818
99th percentile: 8.176891231536866
mean time: 4.054655981063843
%s, retrying in %s seconds...
Received healthy response to inference request in 1.8117318153381348s
Received healthy response to inference request in 2.164022922515869s
Received healthy response to inference request in 3.394721508026123s
Received healthy response to inference request in 1.8737163543701172s
Received healthy response to inference request in 1.6198651790618896s
5 requests
0 failed requests
5th percentile: 1.6582385063171388
10th percentile: 1.6966118335723877
20th percentile: 1.7733584880828857
30th percentile: 1.8241287231445313
40th percentile: 1.8489225387573243
50th percentile: 1.8737163543701172
60th percentile: 1.9898389816284179
70th percentile: 2.1059616088867186
80th percentile: 2.41016263961792
90th percentile: 2.9024420738220216
95th percentile: 3.148581790924072
99th percentile: 3.3454935646057127
mean time: 2.1728115558624266
Pipeline stage StressChecker completed in 76.56s
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 0.83s
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 0.81s
Shutdown handler de-registered
junhua024-chai-12-full-16_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-12-full-16-v3-profiler
Waiting for inference service junhua024-chai-12-full-16-v3-profiler to be ready
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 5913.29s
Shutdown handler de-registered
junhua024-chai-12-full-16_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-16_v3 status is now torndown due to DeploymentManager action