junhua024-chai-1-full_94469

developer_uid: junhua024

submission_id: junhua024-chai-1-full_94469_v117

model_name: junhua024-chai-1-full_94469_v117

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-17T20:26:40+00:00

num_battles: 7123

num_wins: 3480

celo_rating: 1277.26

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': 0.5957490871007594, 'latency_mean': 1.6783727478981019, 'latency_p50': 1.6806678771972656, 'latency_p90': 1.8462650060653687}, {'batch_size': 3, 'throughput': 1.081732725218367, 'latency_mean': 2.7631940972805022, 'latency_p50': 2.76359224319458, 'latency_p90': 3.0337560415267943}, {'batch_size': 5, 'throughput': 1.280464885578232, 'latency_mean': 3.8858533585071564, 'latency_p50': 3.8916938304901123, 'latency_p90': 4.335999655723572}, {'batch_size': 6, 'throughput': 1.3498557801820643, 'latency_mean': 4.41748275756836, 'latency_p50': 4.397189617156982, 'latency_p90': 4.900906586647034}, {'batch_size': 8, 'throughput': 1.4172424204989358, 'latency_mean': 5.608657137155533, 'latency_p50': 5.621824383735657, 'latency_p90': 6.265279388427734}, {'batch_size': 10, 'throughput': 1.4405116406172276, 'latency_mean': 6.882579228878021, 'latency_p50': 6.923940539360046, 'latency_p90': 7.669085621833801}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full_94469_v117

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.26

us_pacific_date: 2025-07-17

win_ratio: 0.4885581917731293

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': "{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-94469-v117-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v117-mkmlizer to finish
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junhua024-chai-1-full-94469-v117-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-94469-v117-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-94469-v117-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v117-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-94469-v117-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-94469-v117-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-94469-v117-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-94469-v117-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v117-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-94469-v117-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-94469-v117-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v117-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-94469-v117-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-94469-v117-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-94469-v117-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v117-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-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-94469-v117-mkmlizer: Downloaded to shared memory in 72.418s
junhua024-chai-1-full-94469-v117-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-94469-v117-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpr0dqo2sw, device:0
junhua024-chai-1-full-94469-v117-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-94469-v117-mkmlizer: quantized model in 31.224s
junhua024-chai-1-full-94469-v117-mkmlizer: Processed model junhua024/chai-1-full-066126 in 103.731s
junhua024-chai-1-full-94469-v117-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v117-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v117-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v117/nvidia
junhua024-chai-1-full-94469-v117-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v117/nvidia/config.json
junhua024-chai-1-full-94469-v117-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v117/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v117-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v117/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v117-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v117/nvidia/tokenizer.json
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Job junhua024-chai-1-full-94469-v117-mkmlizer completed after 131.01s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v117-mkmlizer
Pipeline stage MKMLizer completed in 131.62s
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-94469-v117
Waiting for inference service junhua024-chai-1-full-94469-v117 to be ready
Inference service junhua024-chai-1-full-94469-v117 ready after 302.14250135421753s
Pipeline stage MKMLDeployer completed in 303.75s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5070459842681885s
Received healthy response to inference request in 1.755523443222046s
Received healthy response to inference request in 1.8023858070373535s
Received healthy response to inference request in 1.7793169021606445s
Received healthy response to inference request in 1.8788933753967285s
5 requests
0 failed requests
5th percentile: 1.7602821350097657
10th percentile: 1.7650408267974853
20th percentile: 1.7745582103729247
30th percentile: 1.7839306831359862
40th percentile: 1.7931582450866699
50th percentile: 1.8023858070373535
60th percentile: 1.8329888343811036
70th percentile: 1.8635918617248535
80th percentile: 2.0045238971710204
90th percentile: 2.2557849407196047
95th percentile: 2.3814154624938966
99th percentile: 2.48191987991333
mean time: 1.9446331024169923
Pipeline stage StressChecker completed in 11.12s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 1.11s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.67s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v117 status is now deployed due to DeploymentManager action
Shutdown handler registered
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 5396.93s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v117 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full_94469_v117 status is now torndown due to DeploymentManager action
junhua024-chai-1-full_94469_v117 status is now torndown due to DeploymentManager action