junhua024-chai-1-full-066

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066_v1

model_name: junhua024-chai-1-full-066_v1

model_group: junhua024/chai_1-full_06

status: torndown

timestamp: 2025-06-29T08:50:32+00:00

num_battles: 8044

num_wins: 3690

celo_rating: 1241.17

family_friendly_score: 0.5998

family_friendly_standard_error: 0.006928779979188255

submission_type: basic

model_repo: junhua024/chai_1-full_066

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': 0.6011068590540992, 'latency_mean': 1.6634512650966644, 'latency_p50': 1.6603953838348389, 'latency_p90': 1.8255311965942382}, {'batch_size': 3, 'throughput': 1.0681596102552295, 'latency_mean': 2.8015788412094116, 'latency_p50': 2.8131192922592163, 'latency_p90': 3.053416061401367}, {'batch_size': 5, 'throughput': 1.2865030159791202, 'latency_mean': 3.8583283126354218, 'latency_p50': 3.8551909923553467, 'latency_p90': 4.307248926162719}, {'batch_size': 6, 'throughput': 1.3434098036837598, 'latency_mean': 4.442926456928253, 'latency_p50': 4.400805115699768, 'latency_p90': 4.964353847503662}, {'batch_size': 8, 'throughput': 1.405299024324263, 'latency_mean': 5.658190975189209, 'latency_p50': 5.669011235237122, 'latency_p90': 6.417114949226379}, {'batch_size': 10, 'throughput': 1.442767074289111, 'latency_mean': 6.879069892168045, 'latency_p50': 6.817984342575073, 'latency_p90': 7.796876382827759}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066_v1

is_internal_developer: False

language_model: junhua024/chai_1-full_066

model_size: 13B

ranking_group: single

throughput_3p7s: 1.27

us_pacific_date: 2025-06-29

win_ratio: 0.4587270014917951

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.2, 'top_k': 40, '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-066-v1-mkmlizer
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junhua024-chai-1-full-066-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066-v1-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-066-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-v1-mkmlizer: Downloaded to shared memory in 462.475s
junhua024-chai-1-full-066-v1-mkmlizer: Checking if junhua024/chai_1-full_066 already exists in ChaiML
junhua024-chai-1-full-066-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjcyqbdma, device:0
junhua024-chai-1-full-066-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066-v1-mkmlizer: quantized model in 31.003s
junhua024-chai-1-full-066-v1-mkmlizer: Processed model junhua024/chai_1-full_066 in 493.570s
junhua024-chai-1-full-066-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066-v1
junhua024-chai-1-full-066-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066-v1/config.json
junhua024-chai-1-full-066-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066-v1/special_tokens_map.json
junhua024-chai-1-full-066-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066-v1/tokenizer_config.json
junhua024-chai-1-full-066-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066-v1/tokenizer.json
junhua024-chai-1-full-066-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066-v1/flywheel_model.0.safetensors
junhua024-chai-1-full-066-v1-mkmlizer: 
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Job junhua024-chai-1-full-066-v1-mkmlizer completed after 517.15s with status: succeeded
Stopping job with name junhua024-chai-1-full-066-v1-mkmlizer
Pipeline stage MKMLizer completed in 517.81s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066-v1
Waiting for inference service junhua024-chai-1-full-066-v1 to be ready
Failed to get response for submission mistralai-mistral-nem_93303_v507: HTTPConnectionPool(host='mistralai-mistral-nem-93303-v507-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission mistralai-mistral-nem_93303_v507: HTTPConnectionPool(host='mistralai-mistral-nem-93303-v507-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-066-v1 ready after 180.89158630371094s
Pipeline stage MKMLDeployer completed in 181.64s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.290369987487793s
Received healthy response to inference request in 2.0237152576446533s
Received healthy response to inference request in 1.5821747779846191s
Received healthy response to inference request in 1.4905436038970947s
Received healthy response to inference request in 1.6141276359558105s
5 requests
0 failed requests
5th percentile: 1.5088698387145996
10th percentile: 1.5271960735321044
20th percentile: 1.5638485431671143
30th percentile: 1.5885653495788574
40th percentile: 1.601346492767334
50th percentile: 1.6141276359558105
60th percentile: 1.7779626846313477
70th percentile: 1.9417977333068848
80th percentile: 2.077046203613281
90th percentile: 2.183708095550537
95th percentile: 2.237039041519165
99th percentile: 2.2797037982940673
mean time: 1.8001862525939942
Pipeline stage StressChecker completed in 10.77s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.72s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.73s
Shutdown handler de-registered
junhua024-chai-1-full-066_v1 status is now deployed due to DeploymentManager action
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3473.19s
Shutdown handler de-registered
junhua024-chai-1-full-066_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066_v1 status is now torndown due to DeploymentManager action