junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v56

model_name: junhua024-chai-1-full-066126_v56

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T09:26:35+00:00

num_battles: 8081

num_wins: 3955

celo_rating: 1278.34

family_friendly_score: 0.5536

family_friendly_standard_error: 0.00703032061857779

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': 0.6104724465234951, 'latency_mean': 1.6379578590393067, 'latency_p50': 1.623942494392395, 'latency_p90': 1.818728232383728}, {'batch_size': 3, 'throughput': 1.080149793813989, 'latency_mean': 2.766065229177475, 'latency_p50': 2.7787632942199707, 'latency_p90': 3.0002087116241456}, {'batch_size': 5, 'throughput': 1.303415668775119, 'latency_mean': 3.8178866517543795, 'latency_p50': 3.8113282918930054, 'latency_p90': 4.2960814237594604}, {'batch_size': 6, 'throughput': 1.382444823140805, 'latency_mean': 4.324861361980438, 'latency_p50': 4.334462523460388, 'latency_p90': 4.89214255809784}, {'batch_size': 8, 'throughput': 1.4445257672716332, 'latency_mean': 5.510574126243592, 'latency_p50': 5.533551573753357, 'latency_p90': 6.179242420196533}, {'batch_size': 10, 'throughput': 1.4717322111424815, 'latency_mean': 6.740026850700378, 'latency_p50': 6.755169749259949, 'latency_p90': 7.753130507469177}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v56

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.29

us_pacific_date: 2025-07-15

win_ratio: 0.48941962628387575

generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 8, '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-v56-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v56-mkmlizer to finish
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junhua024-chai-1-full-066126-v56-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v56-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v56-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v56-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v56-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v56-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v56-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v56-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v56-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v56-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v56-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v56-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v56-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v56-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v56-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v56-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-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-v56-mkmlizer: Downloaded to shared memory in 74.330s
junhua024-chai-1-full-066126-v56-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v56-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpaek725nf, device:0
junhua024-chai-1-full-066126-v56-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v56-mkmlizer: quantized model in 32.393s
junhua024-chai-1-full-066126-v56-mkmlizer: Processed model junhua024/chai-1-full-066126 in 106.817s
junhua024-chai-1-full-066126-v56-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v56-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v56-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v56/nvidia
junhua024-chai-1-full-066126-v56-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v56/nvidia/config.json
junhua024-chai-1-full-066126-v56-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v56/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v56-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v56/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v56-mkmlizer: 
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Job junhua024-chai-1-full-066126-v56-mkmlizer completed after 137.43s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v56-mkmlizer
Pipeline stage MKMLizer completed in 138.26s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v56
Waiting for inference service junhua024-chai-1-full-066126-v56 to be ready
Inference service junhua024-chai-1-full-066126-v56 ready after 231.01492762565613s
Pipeline stage MKMLDeployer completed in 231.65s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.585554599761963s
Received healthy response to inference request in 1.7921795845031738s
Received healthy response to inference request in 1.9655776023864746s
Received healthy response to inference request in 1.7437102794647217s
Received healthy response to inference request in 1.9162814617156982s
5 requests
0 failed requests
5th percentile: 1.753404140472412
10th percentile: 1.7630980014801025
20th percentile: 1.7824857234954834
30th percentile: 1.8169999599456788
40th percentile: 1.8666407108306884
50th percentile: 1.9162814617156982
60th percentile: 1.9359999179840088
70th percentile: 1.9557183742523194
80th percentile: 2.0895730018615724
90th percentile: 2.3375638008117674
95th percentile: 2.461559200286865
99th percentile: 2.560755519866943
mean time: 2.000660705566406
Pipeline stage StressChecker completed in 11.90s
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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 0.71s
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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 0.68s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v56 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4690.33s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v56 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v56 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v56 status is now torndown due to DeploymentManager action