junhua024-chai-02-full-062

developer_uid: junhua024
submission_id: junhua024-chai-02-full-062_v2
model_name: junhua024-chai-02-full-062_v2
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-16T14:29:37+00:00
num_battles: 9595
num_wins: 4787
celo_rating: 1280.49
family_friendly_score: 0.5532
family_friendly_standard_error: 0.0070309282459715084
submission_type: basic
model_repo: junhua024/chai_02_full_062
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': 0.5960700091409892, 'latency_mean': 1.677472721338272, 'latency_p50': 1.689959168434143, 'latency_p90': 1.8320764780044556}, {'batch_size': 3, 'throughput': 1.0823775663124269, 'latency_mean': 2.7615875041484834, 'latency_p50': 2.745323061943054, 'latency_p90': 3.065682864189148}, {'batch_size': 5, 'throughput': 1.2970822582540855, 'latency_mean': 3.8356655180454253, 'latency_p50': 3.821381449699402, 'latency_p90': 4.289241600036621}, {'batch_size': 6, 'throughput': 1.3705055306419713, 'latency_mean': 4.342159115076065, 'latency_p50': 4.380676746368408, 'latency_p90': 4.82277102470398}, {'batch_size': 8, 'throughput': 1.4264202737457836, 'latency_mean': 5.574403896331787, 'latency_p50': 5.566656947135925, 'latency_p90': 6.353560829162598}, {'batch_size': 10, 'throughput': 1.4640373723569704, 'latency_mean': 6.7791240739822385, 'latency_p50': 6.761753439903259, 'latency_p90': 7.59400885105133}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-062_v2
is_internal_developer: False
language_model: junhua024/chai_02_full_062
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-16
win_ratio: 0.4989056800416884
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-02-full-062-v2-mkmlizer
Waiting for job on junhua024-chai-02-full-062-v2-mkmlizer to finish
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junhua024-chai-02-full-062-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-062-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-062-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-062-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-062-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-062-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-062-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-062-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-062-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-062-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-062-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-062-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-062-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-062-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-062-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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`
Failed to get response for submission zmeeks-capitanito-50_v3: HTTPConnectionPool(host='zmeeks-capitanito-50-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-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-02-full-062-v2-mkmlizer: Downloaded to shared memory in 124.325s
junhua024-chai-02-full-062-v2-mkmlizer: Checking if junhua024/chai_02_full_062 already exists in ChaiML
junhua024-chai-02-full-062-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7u77dvlo, device:0
junhua024-chai-02-full-062-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-062-v2-mkmlizer: quantized model in 31.436s
junhua024-chai-02-full-062-v2-mkmlizer: Processed model junhua024/chai_02_full_062 in 155.843s
junhua024-chai-02-full-062-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-062-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-062-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-062-v2/nvidia
junhua024-chai-02-full-062-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v2/nvidia/config.json
junhua024-chai-02-full-062-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v2/nvidia/special_tokens_map.json
junhua024-chai-02-full-062-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v2/nvidia/tokenizer_config.json
junhua024-chai-02-full-062-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-062-v2/nvidia/tokenizer.json
junhua024-chai-02-full-062-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-062-v2/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-062-v2-mkmlizer completed after 180.29s with status: succeeded
Stopping job with name junhua024-chai-02-full-062-v2-mkmlizer
Pipeline stage MKMLizer completed in 180.80s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
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Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-062-v2
Waiting for inference service junhua024-chai-02-full-062-v2 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service junhua024-chai-02-full-062-v2 ready after 381.4388597011566s
Pipeline stage MKMLDeployer completed in 382.00s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.7726402282714844s
Received healthy response to inference request in 1.9444911479949951s
Received healthy response to inference request in 1.9582219123840332s
Received healthy response to inference request in 1.8818764686584473s
Received healthy response to inference request in 1.9882698059082031s
5 requests
0 failed requests
5th percentile: 1.8943994045257568
10th percentile: 1.9069223403930664
20th percentile: 1.9319682121276855
30th percentile: 1.9472373008728028
40th percentile: 1.9527296066284179
50th percentile: 1.9582219123840332
60th percentile: 1.9702410697937012
70th percentile: 1.9822602272033691
80th percentile: 2.1451438903808597
90th percentile: 2.458892059326172
95th percentile: 2.6157661437988278
99th percentile: 2.7412654113769532
mean time: 2.1090999126434324
Pipeline stage StressChecker completed in 11.98s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.91s
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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 3129.13s
Shutdown handler de-registered
junhua024-chai-02-full-062_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-062_v2 status is now torndown due to DeploymentManager action
junhua024-chai-02-full-062_v2 status is now torndown due to DeploymentManager action