junhua024-chai-1-full_94469

developer_uid: junhua024

submission_id: junhua024-chai-1-full_94469_v100

model_name: junhua024-chai-1-full_94469_v100

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-16T04:08:20+00:00

num_battles: 7492

num_wins: 3674

celo_rating: 1275.0

family_friendly_score: 0.5524

family_friendly_standard_error: 0.007032129691636808

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': 0.6019302380181124, 'latency_mean': 1.6611338222026826, 'latency_p50': 1.6640667915344238, 'latency_p90': 1.836199903488159}, {'batch_size': 3, 'throughput': 1.0819014980943664, 'latency_mean': 2.7652487707138063, 'latency_p50': 2.7676998376846313, 'latency_p90': 3.0744716644287107}, {'batch_size': 5, 'throughput': 1.2988309680855243, 'latency_mean': 3.8346514904499056, 'latency_p50': 3.827745795249939, 'latency_p90': 4.256266832351685}, {'batch_size': 6, 'throughput': 1.3830917907053009, 'latency_mean': 4.310469853878021, 'latency_p50': 4.321480393409729, 'latency_p90': 4.7850628852844235}, {'batch_size': 8, 'throughput': 1.44029458805455, 'latency_mean': 5.5198631405830385, 'latency_p50': 5.497927784919739, 'latency_p90': 6.250441455841065}, {'batch_size': 10, 'throughput': 1.4609999272095788, 'latency_mean': 6.773847451210022, 'latency_p50': 6.8216646909713745, 'latency_p90': 7.570432114601135}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full_94469_v100

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: 0.49038974906567007

generation_params: {'temperature': 1.0, 'top_p': 0.6, '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-v100-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v100-mkmlizer to finish
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junhua024-chai-1-full-94469-v100-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-94469-v100-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-94469-v100-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v100-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-94469-v100-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-94469-v100-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-94469-v100-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-94469-v100-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v100-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-94469-v100-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-94469-v100-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v100-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-94469-v100-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-94469-v100-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-94469-v100-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v100-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-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-v100-mkmlizer: Downloaded to shared memory in 71.496s
junhua024-chai-1-full-94469-v100-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-94469-v100-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpi48prc7b, device:0
junhua024-chai-1-full-94469-v100-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-94469-v100-mkmlizer: quantized model in 32.052s
junhua024-chai-1-full-94469-v100-mkmlizer: Processed model junhua024/chai-1-full-066126 in 103.627s
junhua024-chai-1-full-94469-v100-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v100-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v100-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v100/nvidia
junhua024-chai-1-full-94469-v100-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v100/nvidia/config.json
junhua024-chai-1-full-94469-v100-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v100/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v100-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v100/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v100-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v100/nvidia/tokenizer.json
junhua024-chai-1-full-94469-v100-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v100/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-94469-v100-mkmlizer completed after 128.96s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v100-mkmlizer
Pipeline stage MKMLizer completed in 129.50s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.40s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-94469-v100
Waiting for inference service junhua024-chai-1-full-94469-v100 to be ready
Inference service junhua024-chai-1-full-94469-v100 ready after 261.619836807251s
Pipeline stage MKMLDeployer completed in 262.12s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.186375617980957s
Received healthy response to inference request in 1.6629080772399902s
Received healthy response to inference request in 1.6754145622253418s
Received healthy response to inference request in 1.737334966659546s
Received healthy response to inference request in 1.7490909099578857s
5 requests
0 failed requests
5th percentile: 1.6654093742370606
10th percentile: 1.667910671234131
20th percentile: 1.6729132652282714
30th percentile: 1.6877986431121825
40th percentile: 1.7125668048858642
50th percentile: 1.737334966659546
60th percentile: 1.7420373439788819
70th percentile: 1.7467397212982179
80th percentile: 1.8365478515625
90th percentile: 2.0114617347717285
95th percentile: 2.0989186763763428
99th percentile: 2.1688842296600344
mean time: 1.802224826812744
Pipeline stage StressChecker completed in 11.16s
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 0.70s
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Running pipeline stage TriggerMKMLProfilingPipeline
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triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.72s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v100 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 3121.23s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v100 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full_94469_v100 status is now torndown due to DeploymentManager action
junhua024-chai-1-full_94469_v100 status is now torndown due to DeploymentManager action