junhua024-chai-19b-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-19b-full-0022_v1
model_name: junhua024-chai-19b-full-0022_v1
model_group: junhua024/chai_19b-full_
status: torndown
timestamp: 2025-07-24T15:42:52+00:00
num_battles: 7199
num_wins: 2655
celo_rating: 1183.81
family_friendly_score: 0.5611999999999999
family_friendly_standard_error: 0.0070178994008178825
submission_type: basic
model_repo: junhua024/chai_19b-full_0022
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5341253943240508, 'latency_mean': 1.872089557647705, 'latency_p50': 1.8608202934265137, 'latency_p90': 2.0418272733688356}, {'batch_size': 2, 'throughput': 0.7085416864764663, 'latency_mean': 2.818306075334549, 'latency_p50': 2.8226318359375, 'latency_p90': 3.067628812789917}, {'batch_size': 3, 'throughput': 0.796100010686403, 'latency_mean': 3.755394810438156, 'latency_p50': 3.7470383644104004, 'latency_p90': 4.156949996948242}, {'batch_size': 4, 'throughput': 0.8597321776221916, 'latency_mean': 4.630133558511734, 'latency_p50': 4.640084147453308, 'latency_p90': 5.17090904712677}, {'batch_size': 5, 'throughput': 0.8885169533593856, 'latency_mean': 5.603118453025818, 'latency_p50': 5.587545394897461, 'latency_p90': 6.231723833084106}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-19b-full-0022_v1
is_internal_developer: False
language_model: junhua024/chai_19b-full_0022
model_size: 13B
ranking_group: single
throughput_3p7s: 0.79
us_pacific_date: 2025-07-24
win_ratio: 0.36880122239199886
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': 2048, '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-19b-full-0022-v1-mkmlizer
Waiting for job on junhua024-chai-19b-full-0022-v1-mkmlizer to finish
Retrying (%r) after connection broken by '%r': %s
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junhua024-chai-19b-full-0022-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-19b-full-0022-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19b-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19b-full-0022-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19b-full-0022-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19b-full-0022-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19b-full-0022-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19b-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19b-full-0022-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19b-full-0022-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19b-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19b-full-0022-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19b-full-0022-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19b-full-0022-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19b-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19b-full-0022-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-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-19b-full-0022-v1-mkmlizer: Downloaded to shared memory in 143.152s
junhua024-chai-19b-full-0022-v1-mkmlizer: Checking if junhua024/chai_19b-full_0022 already exists in ChaiML
junhua024-chai-19b-full-0022-v1-mkmlizer: Creating repo ChaiML/chai_19b-full_0022 and uploading /tmp/tmpf1246r_8 to it
junhua024-chai-19b-full-0022-v1-mkmlizer: 
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Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-19b-full-0022-v1-mkmlizer: quantized model in 164.274s
junhua024-chai-19b-full-0022-v1-mkmlizer: Processed model junhua024/chai_19b-full_0022 in 393.496s
junhua024-chai-19b-full-0022-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19b-full-0022-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19b-full-0022-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19b-full-0022-v1/nvidia
junhua024-chai-19b-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19b-full-0022-v1/nvidia/config.json
junhua024-chai-19b-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19b-full-0022-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-19b-full-0022-v1-mkmlizer: 
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Job junhua024-chai-19b-full-0022-v1-mkmlizer completed after 472.05s with status: succeeded
Stopping job with name junhua024-chai-19b-full-0022-v1-mkmlizer
Pipeline stage MKMLizer completed in 472.61s
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-19b-full-0022-v1
Waiting for inference service junhua024-chai-19b-full-0022-v1 to be ready
Inference service junhua024-chai-19b-full-0022-v1 ready after 180.9357931613922s
Pipeline stage MKMLDeployer completed in 181.42s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.6972360610961914s
Received healthy response to inference request in 1.9570915699005127s
Received healthy response to inference request in 2.763782262802124s
Received healthy response to inference request in 1.6974620819091797s
Received healthy response to inference request in 4.3025641441345215s
5 requests
0 failed requests
5th percentile: 1.7493879795074463
10th percentile: 1.801313877105713
20th percentile: 1.905165672302246
30th percentile: 2.118429708480835
40th percentile: 2.4411059856414794
50th percentile: 2.763782262802124
60th percentile: 3.137163782119751
70th percentile: 3.5105453014373778
80th percentile: 3.8183016777038574
90th percentile: 4.0604329109191895
95th percentile: 4.1814985275268555
99th percentile: 4.2783510208129885
mean time: 2.8836272239685057
Pipeline stage StressChecker completed in 16.01s
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 1.07s
Shutdown handler de-registered
junhua024-chai-19b-full-0022_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 0.17s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-19b-full-0022-v1-profiler
Waiting for inference service junhua024-chai-19b-full-0022-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 5710.89s
Shutdown handler de-registered
junhua024-chai-19b-full-0022_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19b-full-0022_v1 status is now torndown due to DeploymentManager action