junhua024-chai-1-full-066

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066_v2
model_name: junhua024-chai-1-full-066_v2
model_group: junhua024/chai_1-full_06
status: torndown
timestamp: 2025-06-29T08:55:10+00:00
num_battles: 8020
num_wins: 3776
celo_rating: 1251.09
family_friendly_score: 0.6033999999999999
family_friendly_standard_error: 0.006918214220447355
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': 0.6017358469449613, 'latency_mean': 1.6617511641979217, 'latency_p50': 1.6456934213638306, 'latency_p90': 1.8316819190979003}, {'batch_size': 3, 'throughput': 1.0694023596445226, 'latency_mean': 2.7999673175811766, 'latency_p50': 2.818966031074524, 'latency_p90': 3.059724545478821}, {'batch_size': 5, 'throughput': 1.2839782027833855, 'latency_mean': 3.8748219418525696, 'latency_p50': 3.8697128295898438, 'latency_p90': 4.314544630050659}, {'batch_size': 6, 'throughput': 1.3553088325829905, 'latency_mean': 4.400042005777359, 'latency_p50': 4.3970969915390015, 'latency_p90': 4.964662837982178}, {'batch_size': 8, 'throughput': 1.4093819868233781, 'latency_mean': 5.639667806625366, 'latency_p50': 5.6940553188323975, 'latency_p90': 6.353323841094971}, {'batch_size': 10, 'throughput': 1.4553695982397814, 'latency_mean': 6.8179142594337465, 'latency_p50': 6.8076255321502686, 'latency_p90': 7.66762957572937}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066_v2
is_internal_developer: False
language_model: junhua024/chai_1-full_066
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-06-29
win_ratio: 0.47082294264339153
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-v2-mkmlizer
Waiting for job on junhua024-chai-1-full-066-v2-mkmlizer to finish
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junhua024-chai-1-full-066-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066-v2-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-066-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-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-1-full-066-v2-mkmlizer: Downloaded to shared memory in 115.006s
junhua024-chai-1-full-066-v2-mkmlizer: Checking if junhua024/chai_1-full_066 already exists in ChaiML
junhua024-chai-1-full-066-v2-mkmlizer: Creating repo ChaiML/chai_1-full_066 and uploading /tmp/tmpeksd1sx_ to it
junhua024-chai-1-full-066-v2-mkmlizer: 
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junhua024-chai-1-full-066-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpeksd1sx_, device:0
junhua024-chai-1-full-066-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066-v2-mkmlizer: quantized model in 30.962s
junhua024-chai-1-full-066-v2-mkmlizer: Processed model junhua024/chai_1-full_066 in 212.657s
junhua024-chai-1-full-066-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066-v2
junhua024-chai-1-full-066-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066-v2/config.json
junhua024-chai-1-full-066-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066-v2/special_tokens_map.json
junhua024-chai-1-full-066-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066-v2/tokenizer_config.json
junhua024-chai-1-full-066-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066-v2/tokenizer.json
junhua024-chai-1-full-066-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066-v2/flywheel_model.0.safetensors
junhua024-chai-1-full-066-v2-mkmlizer: 
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Job junhua024-chai-1-full-066-v2-mkmlizer completed after 239.44s with status: succeeded
Stopping job with name junhua024-chai-1-full-066-v2-mkmlizer
Pipeline stage MKMLizer completed in 240.02s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066-v2
Waiting for inference service junhua024-chai-1-full-066-v2 to be ready
Failed to get response for submission mistralai-mistral-nem_93303_v508: ('http://mistralai-mistral-nem-93303-v508-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'readfrom tcp 127.0.0.1:38142->127.0.0.1:8080: write tcp 127.0.0.1:38142->127.0.0.1:8080: use of closed network connection\n')
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-v2 ready after 180.78941440582275s
Pipeline stage MKMLDeployer completed in 181.36s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4445581436157227s
Received healthy response to inference request in 1.8617801666259766s
Received healthy response to inference request in 1.8755781650543213s
Received healthy response to inference request in 1.7856168746948242s
Received healthy response to inference request in 1.391608715057373s
5 requests
0 failed requests
5th percentile: 1.4704103469848633
10th percentile: 1.5492119789123535
20th percentile: 1.706815242767334
30th percentile: 1.8008495330810548
40th percentile: 1.8313148498535157
50th percentile: 1.8617801666259766
60th percentile: 1.8672993659973145
70th percentile: 1.8728185653686524
80th percentile: 1.9893741607666016
90th percentile: 2.216966152191162
95th percentile: 2.3307621479034424
99th percentile: 2.4217989444732666
mean time: 1.8718284130096436
Pipeline stage StressChecker completed in 10.84s
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 1.07s
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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 0.72s
Shutdown handler de-registered
junhua024-chai-1-full-066_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 5361.57s
Shutdown handler de-registered
junhua024-chai-1-full-066_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066_v2 status is now torndown due to DeploymentManager action