junhua024-chai-06-full-_56660

developer_uid: junhua024

submission_id: junhua024-chai-06-full-_56660_v2

model_name: junhua024-chai-06-full-_56660_v2

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-17T13:53:30+00:00

num_battles: 8883

num_wins: 4415

celo_rating: 1283.2

family_friendly_score: 0.5618000000000001

family_friendly_standard_error: 0.007016847725296595

submission_type: basic

model_repo: junhua024/chai_06_full_02104_20241

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': 0.5903755268338754, 'latency_mean': 1.693722733259201, 'latency_p50': 1.6838489770889282, 'latency_p90': 1.867898941040039}, {'batch_size': 3, 'throughput': 1.061468300750295, 'latency_mean': 2.8158337926864623, 'latency_p50': 2.8053406476974487, 'latency_p90': 3.0935378074645996}, {'batch_size': 5, 'throughput': 1.2600507506187986, 'latency_mean': 3.9479634189605712, 'latency_p50': 3.954024910926819, 'latency_p90': 4.398418211936951}, {'batch_size': 6, 'throughput': 1.3346688218637555, 'latency_mean': 4.478985975980759, 'latency_p50': 4.494014501571655, 'latency_p90': 4.968718719482422}, {'batch_size': 8, 'throughput': 1.3791322427842563, 'latency_mean': 5.749146987199783, 'latency_p50': 5.752782225608826, 'latency_p90': 6.488344740867614}, {'batch_size': 10, 'throughput': 1.4153578217336236, 'latency_mean': 7.022062953710556, 'latency_p50': 7.080063581466675, 'latency_p90': 7.9001566648483275}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full-_56660_v2

is_internal_developer: False

language_model: junhua024/chai_06_full_02104_20241

model_size: 13B

ranking_group: single

throughput_3p7s: 1.23

us_pacific_date: 2025-07-17

win_ratio: 0.4970167736125183

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
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Running pipeline stage MKMLizer
Starting job with name junhua024-chai-06-full-56660-v2-mkmlizer
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junhua024-chai-06-full-56660-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-56660-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-56660-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-56660-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-56660-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-56660-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-56660-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-56660-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-56660-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-56660-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-56660-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-56660-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-56660-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-56660-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-56660-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-56660-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-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-56660-v2-mkmlizer: Downloaded to shared memory in 118.534s
junhua024-chai-06-full-56660-v2-mkmlizer: Checking if junhua024/chai_06_full_02104_20241 already exists in ChaiML
junhua024-chai-06-full-56660-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpgxtr65df, device:0
junhua024-chai-06-full-56660-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-56660-v2-mkmlizer: quantized model in 31.867s
junhua024-chai-06-full-56660-v2-mkmlizer: Processed model junhua024/chai_06_full_02104_20241 in 150.486s
junhua024-chai-06-full-56660-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-56660-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-56660-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-56660-v2/nvidia
junhua024-chai-06-full-56660-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-56660-v2/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-56660-v2-mkmlizer completed after 180.95s with status: succeeded
Stopping job with name junhua024-chai-06-full-56660-v2-mkmlizer
Pipeline stage MKMLizer completed in 181.47s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-56660-v2
Waiting for inference service junhua024-chai-06-full-56660-v2 to be ready
Failed to get response for submission junhua024-chai-06-full-_75415_v4: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-_75415_v1: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-_75415_v1: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-56660-v2 ready after 301.59968519210815s
Pipeline stage MKMLDeployer completed in 302.22s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.333345413208008s
Received healthy response to inference request in 1.7778618335723877s
Received healthy response to inference request in 1.51534104347229s
Received healthy response to inference request in 1.6439108848571777s
Received healthy response to inference request in 1.5020599365234375s
5 requests
0 failed requests
5th percentile: 1.504716157913208
10th percentile: 1.5073723793029785
20th percentile: 1.5126848220825195
30th percentile: 1.5410550117492676
40th percentile: 1.5924829483032226
50th percentile: 1.6439108848571777
60th percentile: 1.6974912643432618
70th percentile: 1.7510716438293457
80th percentile: 1.8889585494995118
90th percentile: 2.1111519813537596
95th percentile: 2.2222486972808837
99th percentile: 2.311126070022583
mean time: 1.7545038223266602
Pipeline stage StressChecker completed in 10.15s
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 0.72s
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 0.74s
Shutdown handler de-registered
junhua024-chai-06-full-_56660_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
Pipeline stage OfflineFamilyFriendlyScorer completed in 4709.56s
Shutdown handler de-registered
junhua024-chai-06-full-_56660_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_56660_v2 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_56660_v2 status is now torndown due to DeploymentManager action