junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v20

model_name: junhua024-chai-1-full-066126_v20

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-14T08:12:41+00:00

num_battles: 7981

num_wins: 3831

celo_rating: 1271.09

family_friendly_score: 0.5516

family_friendly_standard_error: 0.007033312732987209

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': 0.6021521322782389, 'latency_mean': 1.660597140789032, 'latency_p50': 1.6630744934082031, 'latency_p90': 1.84646155834198}, {'batch_size': 3, 'throughput': 1.0885930337119887, 'latency_mean': 2.7479835605621337, 'latency_p50': 2.7447545528411865, 'latency_p90': 2.9896612405776977}, {'batch_size': 5, 'throughput': 1.316786060979374, 'latency_mean': 3.782251213788986, 'latency_p50': 3.7989349365234375, 'latency_p90': 4.259017848968505}, {'batch_size': 6, 'throughput': 1.3748727978360717, 'latency_mean': 4.3310861957073215, 'latency_p50': 4.340712547302246, 'latency_p90': 4.88837616443634}, {'batch_size': 8, 'throughput': 1.4294100908768845, 'latency_mean': 5.571920496225357, 'latency_p50': 5.584652543067932, 'latency_p90': 6.240757870674133}, {'batch_size': 10, 'throughput': 1.49112929387114, 'latency_mean': 6.653125478029251, 'latency_p50': 6.649859070777893, 'latency_p90': 7.478596973419189}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v20

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.31

us_pacific_date: 2025-07-14

win_ratio: 0.4800150357098108

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 9, '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-v20-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v20-mkmlizer to finish
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junhua024-chai-1-full-066126-v20-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v20-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v20-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v20-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v20-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v20-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v20-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v20-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v20-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v20-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v20-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v20-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v20-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v20-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v20-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v20-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-mkmlizer: Downloaded to shared memory in 73.890s
junhua024-chai-1-full-066126-v20-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v20-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpaoksno0b, device:0
junhua024-chai-1-full-066126-v20-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v20-mkmlizer: quantized model in 32.380s
junhua024-chai-1-full-066126-v20-mkmlizer: Processed model junhua024/chai-1-full-066126 in 106.361s
junhua024-chai-1-full-066126-v20-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v20-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v20-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v20/nvidia
junhua024-chai-1-full-066126-v20-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v20/nvidia/config.json
junhua024-chai-1-full-066126-v20-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v20/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v20-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v20/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v20-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v20/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v20-mkmlizer: 
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Job junhua024-chai-1-full-066126-v20-mkmlizer completed after 138.02s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v20-mkmlizer
Pipeline stage MKMLizer completed in 138.58s
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-v20
Waiting for inference service junhua024-chai-1-full-066126-v20 to be ready
Inference service junhua024-chai-1-full-066126-v20 ready after 231.406414270401s
Pipeline stage MKMLDeployer completed in 231.92s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3149209022521973s
Received healthy response to inference request in 2.169667959213257s
Received healthy response to inference request in 1.7240972518920898s
Received healthy response to inference request in 1.7600853443145752s
Received healthy response to inference request in 1.7391712665557861s
5 requests
0 failed requests
5th percentile: 1.727112054824829
10th percentile: 1.7301268577575684
20th percentile: 1.7361564636230469
30th percentile: 1.743354082107544
40th percentile: 1.7517197132110596
50th percentile: 1.7600853443145752
60th percentile: 1.9239183902740478
70th percentile: 2.0877514362335203
80th percentile: 2.198718547821045
90th percentile: 2.256819725036621
95th percentile: 2.285870313644409
99th percentile: 2.3091107845306396
mean time: 1.941588544845581
Pipeline stage StressChecker completed in 11.13s
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 0.71s
run pipeline stage %s
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_v20 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 3124.33s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v20 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v20 status is now torndown due to DeploymentManager action