junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v2

model_name: junhua024-chai-1-full-066126_v2

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-06-29T19:43:00+00:00

num_battles: 6866

num_wins: 3429

celo_rating: 1276.4

family_friendly_score: 0.5556

family_friendly_standard_error: 0.007027213387965389

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': 0.6008158614090179, 'latency_mean': 1.6642853462696074, 'latency_p50': 1.6659375429153442, 'latency_p90': 1.8290363073348999}, {'batch_size': 3, 'throughput': 1.085602811134778, 'latency_mean': 2.7603401732444763, 'latency_p50': 2.7472492456436157, 'latency_p90': 3.048793816566467}, {'batch_size': 5, 'throughput': 1.3143757801503644, 'latency_mean': 3.7890459752082823, 'latency_p50': 3.8042895793914795, 'latency_p90': 4.162847995758057}, {'batch_size': 6, 'throughput': 1.3662162372346909, 'latency_mean': 4.361822999715805, 'latency_p50': 4.340305685997009, 'latency_p90': 4.832597637176514}, {'batch_size': 8, 'throughput': 1.4461775138778241, 'latency_mean': 5.501278296709061, 'latency_p50': 5.496120572090149, 'latency_p90': 6.181986713409424}, {'batch_size': 10, 'throughput': 1.4552405027848887, 'latency_mean': 6.808946311473846, 'latency_p50': 6.811194181442261, 'latency_p90': 7.720886993408203}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v2

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.3

us_pacific_date: 2025-06-29

win_ratio: 0.4994174191669094

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.2, 'top_k': 40, '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': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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-v2-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v2-mkmlizer to finish
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junhua024-chai-1-full-066126-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v2-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-066126-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v2-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-v2-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-v2-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-v2-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-v2-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`
Failed to get response for submission nitral-ai-captain-bmo-12b_v75: HTTPConnectionPool(host='nitral-ai-captain-bmo-12b-v75-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-066126-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-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-v2-mkmlizer: Downloaded to shared memory in 141.553s
junhua024-chai-1-full-066126-v2-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp14bcn0cw, device:0
junhua024-chai-1-full-066126-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v2-mkmlizer: quantized model in 31.491s
junhua024-chai-1-full-066126-v2-mkmlizer: Processed model junhua024/chai-1-full-066126 in 173.125s
junhua024-chai-1-full-066126-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v2
junhua024-chai-1-full-066126-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v2/config.json
junhua024-chai-1-full-066126-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v2/special_tokens_map.json
junhua024-chai-1-full-066126-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v2/tokenizer_config.json
junhua024-chai-1-full-066126-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v2/tokenizer.json
junhua024-chai-1-full-066126-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v2/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v2-mkmlizer: 
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Job junhua024-chai-1-full-066126-v2-mkmlizer completed after 199.12s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v2-mkmlizer
Pipeline stage MKMLizer completed in 199.69s
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-v2
Waiting for inference service junhua024-chai-1-full-066126-v2 to be ready
Inference service junhua024-chai-1-full-066126-v2 ready after 201.45032215118408s
Pipeline stage MKMLDeployer completed in 202.07s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6530094146728516s
Received healthy response to inference request in 1.8194749355316162s
Received healthy response to inference request in 2.0657849311828613s
Received healthy response to inference request in 1.7452070713043213s
Received healthy response to inference request in 1.8043179512023926s
5 requests
0 failed requests
5th percentile: 1.7570292472839355
10th percentile: 1.7688514232635497
20th percentile: 1.7924957752227784
30th percentile: 1.8073493480682372
40th percentile: 1.8134121417999267
50th percentile: 1.8194749355316162
60th percentile: 1.9179989337921142
70th percentile: 2.016522932052612
80th percentile: 2.1832298278808593
90th percentile: 2.4181196212768556
95th percentile: 2.5355645179748536
99th percentile: 2.629520435333252
mean time: 2.0175588607788084
Pipeline stage StressChecker completed in 11.57s
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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 0.68s
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 0.66s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v2-profiler
Waiting for inference service junhua024-chai-1-full-066126-v2-profiler to be ready
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 3836.30s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v2 status is now torndown due to DeploymentManager action