junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v75

model_name: junhua024-chai-1-full-066126_v75

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T16:52:04+00:00

num_battles: 8661

num_wins: 4224

celo_rating: 1278.81

family_friendly_score: 0.5509999999999999

family_friendly_standard_error: 0.007034187941759872

submission_type: basic

model_repo: junhua024/chai-1-full-066126

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': 0.5923354167875822, 'latency_mean': 1.688058739900589, 'latency_p50': 1.705450177192688, 'latency_p90': 1.8491863489151001}, {'batch_size': 3, 'throughput': 1.0660694995468682, 'latency_mean': 2.8073262202739717, 'latency_p50': 2.8252424001693726, 'latency_p90': 3.0666353702545166}, {'batch_size': 5, 'throughput': 1.281755639099077, 'latency_mean': 3.881270806789398, 'latency_p50': 3.9210323095321655, 'latency_p90': 4.391919946670532}, {'batch_size': 6, 'throughput': 1.3436816164903391, 'latency_mean': 4.436798406839371, 'latency_p50': 4.457602381706238, 'latency_p90': 4.8831631422042845}, {'batch_size': 8, 'throughput': 1.4104586364870304, 'latency_mean': 5.621841304302215, 'latency_p50': 5.642298936843872, 'latency_p90': 6.260916972160339}, {'batch_size': 10, 'throughput': 1.4395082532199717, 'latency_mean': 6.879794378280639, 'latency_p50': 6.886092305183411, 'latency_p90': 7.8869099617004395}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v75

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.26

us_pacific_date: 2025-07-15

win_ratio: 0.4877034984412885

generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, '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-1-full-066126-v75-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v75-mkmlizer to finish
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junhua024-chai-1-full-066126-v75-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v75-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v75-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v75-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v75-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v75-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v75-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v75-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v75-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v75-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v75-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v75-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v75-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v75-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v75-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v75-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-49-3680_v2: HTTPConnectionPool(host='zmeeks-capitanito-49-3680-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-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-1-full-066126-v75-mkmlizer: Downloaded to shared memory in 87.580s
junhua024-chai-1-full-066126-v75-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v75-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnkhqgdkf, device:0
junhua024-chai-1-full-066126-v75-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v75-mkmlizer: quantized model in 32.088s
junhua024-chai-1-full-066126-v75-mkmlizer: Processed model junhua024/chai-1-full-066126 in 119.767s
junhua024-chai-1-full-066126-v75-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v75-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v75-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v75/nvidia
junhua024-chai-1-full-066126-v75-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v75/nvidia/config.json
junhua024-chai-1-full-066126-v75-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v75/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v75-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v75/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v75-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v75/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v75-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v75/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v75-mkmlizer completed after 148.8s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v75-mkmlizer
Pipeline stage MKMLizer completed in 149.71s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.28s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v75
Waiting for inference service junhua024-chai-1-full-066126-v75 to be ready
Inference service junhua024-chai-1-full-066126-v75 ready after 252.32094073295593s
Pipeline stage MKMLDeployer completed in 252.88s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9564321041107178s
Received healthy response to inference request in 2.2081847190856934s
Received healthy response to inference request in 1.760939359664917s
Received healthy response to inference request in 1.5810279846191406s
Received healthy response to inference request in 1.5927503108978271s
5 requests
0 failed requests
5th percentile: 1.583372449874878
10th percentile: 1.5857169151306152
20th percentile: 1.5904058456420898
30th percentile: 1.6263881206512452
40th percentile: 1.693663740158081
50th percentile: 1.760939359664917
60th percentile: 1.9398375034332276
70th percentile: 2.118735647201538
80th percentile: 2.3578341960906983
90th percentile: 2.657133150100708
95th percentile: 2.806782627105713
99th percentile: 2.926502208709717
mean time: 2.0198668956756594
Pipeline stage StressChecker completed in 12.04s
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 0.71s
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 0.75s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v75 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-1-full-066126-v75-profiler
Waiting for inference service junhua024-chai-1-full-066126-v75-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 5100.91s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v75 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v75 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v75 status is now torndown due to DeploymentManager action