junhua024-chai-19nn12

developer_uid: junhua024
submission_id: junhua024-chai-19nn12_v1
model_name: junhua024-chai-19nn12_v1
model_group: junhua024/chai_19nn12
status: torndown
timestamp: 2025-07-28T21:09:46+00:00
num_battles: 5897
num_wins: 3007
celo_rating: 1278.13
family_friendly_score: 0.5176000000000001
family_friendly_standard_error: 0.007066685786137658
submission_type: basic
model_repo: junhua024/chai_19nn12
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: junhua024-chai-19nn12_v1
is_internal_developer: False
language_model: junhua024/chai_19nn12
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5099202984568425
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, '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-19nn12-v1-mkmlizer
Waiting for job on junhua024-chai-19nn12-v1-mkmlizer to finish
junhua024-chai-19nn12-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-19nn12-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-19nn12-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19nn12-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn12-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19nn12-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19nn12-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19nn12-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19nn12-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn12-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19nn12-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19nn12-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn12-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19nn12-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19nn12-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19nn12-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19nn12-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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 chaiml-gy-exp241-sft-gy-_3670_v1: HTTPConnectionPool(host='chaiml-gy-exp241-sft-gy-3670-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-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-19nn12-v1-mkmlizer: Downloaded to shared memory in 139.235s
junhua024-chai-19nn12-v1-mkmlizer: Checking if junhua024/chai_19nn12 already exists in ChaiML
junhua024-chai-19nn12-v1-mkmlizer: Creating repo ChaiML/chai_19nn12 and uploading /tmp/tmp8ficn8gz to it
junhua024-chai-19nn12-v1-mkmlizer: 
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junhua024-chai-19nn12-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp8ficn8gz, device:0
junhua024-chai-19nn12-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission junhua024-chai-12-full-20-2_v1: HTTPConnectionPool(host='junhua024-chai-12-full-20-2-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-19nn12-v1-mkmlizer: quantized model in 162.036s
junhua024-chai-19nn12-v1-mkmlizer: Processed model junhua024/chai_19nn12 in 375.196s
junhua024-chai-19nn12-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19nn12-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19nn12-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19nn12-v1/nvidia
junhua024-chai-19nn12-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19nn12-v1/nvidia/config.json
junhua024-chai-19nn12-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19nn12-v1/nvidia/special_tokens_map.json
junhua024-chai-19nn12-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19nn12-v1/nvidia/tokenizer_config.json
junhua024-chai-19nn12-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19nn12-v1/nvidia/tokenizer.json
junhua024-chai-19nn12-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19nn12-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-19nn12-v1-mkmlizer: 
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Job junhua024-chai-19nn12-v1-mkmlizer completed after 403.9s with status: succeeded
Stopping job with name junhua024-chai-19nn12-v1-mkmlizer
Pipeline stage MKMLizer completed in 404.55s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-19nn12-v1
Waiting for inference service junhua024-chai-19nn12-v1 to be ready
Failed to get response for submission junhua024-chai-12-full-20-2_v1: HTTPConnectionPool(host='junhua024-chai-12-full-20-2-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Retrying (%r) after connection broken by '%r': %s
Failed to get response for submission junhua024-chai-12-full-20-2_v1: HTTPConnectionPool(host='junhua024-chai-12-full-20-2-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-19nn12-v1 ready after 231.15891242027283s
Pipeline stage MKMLDeployer completed in 231.80s
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 4.240708351135254s
Received healthy response to inference request in 2.937539577484131s
Received healthy response to inference request in 2.5672202110290527s
Received healthy response to inference request in 1.914414882659912s
5 requests
1 failed requests
5th percentile: 2.0449759483337404
10th percentile: 2.1755370140075683
20th percentile: 2.4366591453552244
30th percentile: 2.6412840843200684
40th percentile: 2.7894118309020994
50th percentile: 2.937539577484131
60th percentile: 3.4588070869445797
70th percentile: 3.980074596405029
80th percentile: 7.43226389884949
90th percentile: 13.815374994277956
95th percentile: 17.006930541992183
99th percentile: 19.560174980163573
mean time: 6.371673822402954
%s, retrying in %s seconds...
Received healthy response to inference request in 1.3828482627868652s
Received healthy response to inference request in 2.70717716217041s
Received healthy response to inference request in 1.8535573482513428s
Received healthy response to inference request in 2.6197738647460938s
Received healthy response to inference request in 1.4541807174682617s
5 requests
0 failed requests
5th percentile: 1.3971147537231445
10th percentile: 1.4113812446594238
20th percentile: 1.4399142265319824
30th percentile: 1.534056043624878
40th percentile: 1.6938066959381104
50th percentile: 1.8535573482513428
60th percentile: 2.160043954849243
70th percentile: 2.4665305614471436
80th percentile: 2.637254524230957
90th percentile: 2.6722158432006835
95th percentile: 2.689696502685547
99th percentile: 2.7036810302734375
mean time: 2.003507471084595
Pipeline stage StressChecker completed in 45.26s
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 0.76s
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 1.03s
Shutdown handler de-registered
junhua024-chai-19nn12_v1 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 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-19nn12-v1-profiler
Waiting for inference service junhua024-chai-19nn12-v1-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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 2388.15s
Shutdown handler de-registered
junhua024-chai-19nn12_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19nn12_v1 status is now torndown due to DeploymentManager action