junhua024-chai-06-full-02098

developer_uid: junhua024
submission_id: junhua024-chai-06-full-02098_v2
model_name: junhua024-chai-06-full-02098_v2
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-16T21:47:34+00:00
num_battles: 11857
num_wins: 5718
celo_rating: 1273.54
family_friendly_score: 0.5466
family_friendly_standard_error: 0.007040290334922275
submission_type: basic
model_repo: junhua024/chai_06_full_02098
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': 0.5901909684792943, 'latency_mean': 1.6942169058322907, 'latency_p50': 1.7047224044799805, 'latency_p90': 1.8576908588409424}, {'batch_size': 3, 'throughput': 1.0635613008739238, 'latency_mean': 2.8127018773555754, 'latency_p50': 2.827386260032654, 'latency_p90': 3.0718411445617675}, {'batch_size': 5, 'throughput': 1.291238565253041, 'latency_mean': 3.8575113356113433, 'latency_p50': 3.8571654558181763, 'latency_p90': 4.303924298286438}, {'batch_size': 6, 'throughput': 1.369694528547457, 'latency_mean': 4.358929641246796, 'latency_p50': 4.365908145904541, 'latency_p90': 4.827885484695434}, {'batch_size': 8, 'throughput': 1.415210463624908, 'latency_mean': 5.6164356958866115, 'latency_p50': 5.651276469230652, 'latency_p90': 6.329806709289551}, {'batch_size': 10, 'throughput': 1.4450490452651061, 'latency_mean': 6.8573398172855375, 'latency_p50': 6.825379133224487, 'latency_p90': 7.7091978073120115}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-02098_v2
is_internal_developer: False
language_model: junhua024/chai_06_full_02098
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-16
win_ratio: 0.48224677405751876
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-06-full-02098-v2-mkmlizer
Waiting for job on junhua024-chai-06-full-02098-v2-mkmlizer to finish
Failed to get response for submission junhua024-chai-02-full-0615_v3: HTTPConnectionPool(host='junhua024-chai-02-full-0615-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
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junhua024-chai-06-full-02098-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-02098-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-02098-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02098-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-02098-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-02098-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-02098-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-02098-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02098-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-02098-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-02098-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02098-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-02098-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-02098-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-02098-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02098-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-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`
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-02098-v2-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-06-full-02098-v2-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-06-full-02098-v2-mkmlizer: Downloaded to shared memory in 134.967s
junhua024-chai-06-full-02098-v2-mkmlizer: Checking if junhua024/chai_06_full_02098 already exists in ChaiML
junhua024-chai-06-full-02098-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwhvtt1kb, device:0
junhua024-chai-06-full-02098-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-02098-v2-mkmlizer: quantized model in 30.924s
junhua024-chai-06-full-02098-v2-mkmlizer: Processed model junhua024/chai_06_full_02098 in 166.039s
junhua024-chai-06-full-02098-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-02098-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-02098-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v2/nvidia
junhua024-chai-06-full-02098-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v2/nvidia/config.json
junhua024-chai-06-full-02098-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v2/nvidia/special_tokens_map.json
junhua024-chai-06-full-02098-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v2/nvidia/tokenizer_config.json
junhua024-chai-06-full-02098-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-02098-v2-mkmlizer: 
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Job junhua024-chai-06-full-02098-v2-mkmlizer completed after 189.98s with status: succeeded
Stopping job with name junhua024-chai-06-full-02098-v2-mkmlizer
Pipeline stage MKMLizer completed in 190.52s
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-06-full-02098-v2
Waiting for inference service junhua024-chai-06-full-02098-v2 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service junhua024-chai-06-full-02098-v2 ready after 261.0466721057892s
Pipeline stage MKMLDeployer completed in 261.67s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3688130378723145s
Received healthy response to inference request in 1.8840994834899902s
Received healthy response to inference request in 1.536074161529541s
Received healthy response to inference request in 1.641181468963623s
Received healthy response to inference request in 1.8553452491760254s
5 requests
0 failed requests
5th percentile: 1.5570956230163575
10th percentile: 1.5781170845031738
20th percentile: 1.6201600074768066
30th percentile: 1.6840142250061034
40th percentile: 1.7696797370910644
50th percentile: 1.8553452491760254
60th percentile: 1.8668469429016112
70th percentile: 1.8783486366271973
80th percentile: 1.9810421943664551
90th percentile: 2.1749276161193847
95th percentile: 2.2718703269958493
99th percentile: 2.3494244956970216
mean time: 1.8571026802062989
Pipeline stage StressChecker completed in 11.00s
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 0.75s
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 0.91s
Shutdown handler de-registered
junhua024-chai-06-full-02098_v2 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
%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
%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 3809.58s
Shutdown handler de-registered
junhua024-chai-06-full-02098_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-02098_v2 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-02098_v2 status is now torndown due to DeploymentManager action