junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v88

model_name: junhua024-chai-1-full-066126_v88

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-16T02:34:22+00:00

num_battles: 8834

num_wins: 4254

celo_rating: 1279.82

family_friendly_score: 0.5492

family_friendly_standard_error: 0.007036751523252757

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': 0.5907042719363216, 'latency_mean': 1.6927908873558044, 'latency_p50': 1.6921671628952026, 'latency_p90': 1.8651825666427613}, {'batch_size': 3, 'throughput': 1.0785606909698116, 'latency_mean': 2.7738338828086855, 'latency_p50': 2.7668200731277466, 'latency_p90': 3.101556324958801}, {'batch_size': 5, 'throughput': 1.29562053863055, 'latency_mean': 3.8402744114398955, 'latency_p50': 3.8496365547180176, 'latency_p90': 4.272620463371277}, {'batch_size': 6, 'throughput': 1.3458520266740794, 'latency_mean': 4.43106978058815, 'latency_p50': 4.437750458717346, 'latency_p90': 4.980060648918152}, {'batch_size': 8, 'throughput': 1.4169852645125658, 'latency_mean': 5.598763560056686, 'latency_p50': 5.568043351173401, 'latency_p90': 6.34064781665802}, {'batch_size': 10, 'throughput': 1.4571347507742887, 'latency_mean': 6.807391523122788, 'latency_p50': 6.781723856925964, 'latency_p90': 7.592151021957397}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v88

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-07-15

win_ratio: 0.48154856237265115

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': '{memory} What nuanced feelings lie behind these words?', '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-v88-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v88-mkmlizer to finish
junhua024-chai-1-full-066126-v88-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v88-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v88-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v88-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v88-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v88-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v88-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v88-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v88-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v88-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v88-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v88-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v88-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v88-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v88-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v88-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v88-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-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-v88-mkmlizer: Downloaded to shared memory in 83.891s
junhua024-chai-1-full-066126-v88-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v88-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpndd_jubp, device:0
junhua024-chai-1-full-066126-v88-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v88-mkmlizer: quantized model in 31.707s
junhua024-chai-1-full-066126-v88-mkmlizer: Processed model junhua024/chai-1-full-066126 in 115.674s
junhua024-chai-1-full-066126-v88-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v88-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v88-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v88/nvidia
junhua024-chai-1-full-066126-v88-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v88/nvidia/config.json
junhua024-chai-1-full-066126-v88-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v88/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v88-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v88/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v88-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v88/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v88-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v88/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v88-mkmlizer: 
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Job junhua024-chai-1-full-066126-v88-mkmlizer completed after 139.08s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v88-mkmlizer
Pipeline stage MKMLizer completed in 139.68s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v88
Waiting for inference service junhua024-chai-1-full-066126-v88 to be ready
Inference service junhua024-chai-1-full-066126-v88 ready after 261.71883153915405s
Pipeline stage MKMLDeployer completed in 262.45s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.313859224319458s
Received healthy response to inference request in 1.5557105541229248s
Received healthy response to inference request in 1.7737245559692383s
Received healthy response to inference request in 1.7028262615203857s
Received healthy response to inference request in 1.7609050273895264s
5 requests
0 failed requests
5th percentile: 1.585133695602417
10th percentile: 1.6145568370819092
20th percentile: 1.6734031200408936
30th percentile: 1.7144420146942139
40th percentile: 1.7376735210418701
50th percentile: 1.7609050273895264
60th percentile: 1.766032838821411
70th percentile: 1.771160650253296
80th percentile: 1.8817514896392824
90th percentile: 2.09780535697937
95th percentile: 2.205832290649414
99th percentile: 2.292253837585449
mean time: 1.8214051246643066
Pipeline stage StressChecker completed in 10.75s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.68s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.74s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v88 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 4579.52s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v88 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v88 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v88 status is now torndown due to DeploymentManager action