junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v98

model_name: junhua024-chai-1-full-066126_v98

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-16T03:55:57+00:00

num_battles: 6170

num_wins: 2942

celo_rating: 1263.93

family_friendly_score: 0.5614

family_friendly_standard_error: 0.007017549999821875

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': 0.5953037448805788, 'latency_mean': 1.6796422278881074, 'latency_p50': 1.6664955615997314, 'latency_p90': 1.859229326248169}, {'batch_size': 3, 'throughput': 1.0644604428928823, 'latency_mean': 2.8091354954242704, 'latency_p50': 2.80275559425354, 'latency_p90': 3.116023302078247}, {'batch_size': 5, 'throughput': 1.2705098154998593, 'latency_mean': 3.921255019903183, 'latency_p50': 3.9243180751800537, 'latency_p90': 4.387606525421143}, {'batch_size': 6, 'throughput': 1.3309738850514543, 'latency_mean': 4.476309365034103, 'latency_p50': 4.489322781562805, 'latency_p90': 4.9829423189163204}, {'batch_size': 8, 'throughput': 1.40475374604577, 'latency_mean': 5.655635879039765, 'latency_p50': 5.662249207496643, 'latency_p90': 6.400845623016357}, {'batch_size': 10, 'throughput': 1.4330286480493897, 'latency_mean': 6.922376394271851, 'latency_p50': 6.829548120498657, 'latency_p90': 7.9332444906234745}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v98

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.24

us_pacific_date: 2025-07-15

win_ratio: 0.4768233387358185

generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, 'presence_penalty': 1.0, 'frequency_penalty': 1.0, '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-v98-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v98-mkmlizer to finish
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junhua024-chai-1-full-066126-v98-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v98-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v98-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v98-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v98-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v98-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v98-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v98-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v98-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v98-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v98-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v98-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v98-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v98-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v98-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v98-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v98-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 junhua024-chai-1-full-066126_v95: HTTPConnectionPool(host='junhua024-chai-1-full-066126-v95-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-066126-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-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-v98-mkmlizer: Downloaded to shared memory in 72.764s
junhua024-chai-1-full-066126-v98-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v98-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpb_rjdklk, device:0
junhua024-chai-1-full-066126-v98-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v98-mkmlizer: quantized model in 31.774s
junhua024-chai-1-full-066126-v98-mkmlizer: Processed model junhua024/chai-1-full-066126 in 104.621s
junhua024-chai-1-full-066126-v98-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v98-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v98-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v98/nvidia
junhua024-chai-1-full-066126-v98-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v98/nvidia/config.json
junhua024-chai-1-full-066126-v98-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v98/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v98-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v98/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v98-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v98/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v98-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v98/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v98-mkmlizer: 
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Job junhua024-chai-1-full-066126-v98-mkmlizer completed after 129.49s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v98-mkmlizer
Pipeline stage MKMLizer completed in 130.04s
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-066126-v98
Waiting for inference service junhua024-chai-1-full-066126-v98 to be ready
Inference service junhua024-chai-1-full-066126-v98 ready after 272.08131170272827s
Pipeline stage MKMLDeployer completed in 272.98s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1925363540649414s
Received healthy response to inference request in 1.6741631031036377s
Received healthy response to inference request in 1.712775468826294s
Received healthy response to inference request in 1.7440664768218994s
Received healthy response to inference request in 1.5843746662139893s
5 requests
0 failed requests
5th percentile: 1.602332353591919
10th percentile: 1.6202900409698486
20th percentile: 1.656205415725708
30th percentile: 1.681885576248169
40th percentile: 1.6973305225372315
50th percentile: 1.712775468826294
60th percentile: 1.725291872024536
70th percentile: 1.7378082752227784
80th percentile: 1.833760452270508
90th percentile: 2.0131484031677247
95th percentile: 2.102842378616333
99th percentile: 2.17459755897522
mean time: 1.7815832138061523
Pipeline stage StressChecker completed in 10.39s
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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 0.69s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.77s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v98 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3021.53s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v98 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v98 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v98 status is now torndown due to DeploymentManager action