junhua024-chai-1-full-002

developer_uid: junhua024

submission_id: junhua024-chai-1-full-002_v35

model_name: junhua024-chai-1-full-002_v35

model_group: junhua024/chai_1-full_00

status: torndown

timestamp: 2025-06-29T12:39:45+00:00

num_battles: 6582

num_wins: 2779

celo_rating: 1226.38

family_friendly_score: 0.6195999999999999

family_friendly_standard_error: 0.006865796967577762

submission_type: basic

model_repo: junhua024/chai_1-full_002

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': 0.5951714081875048, 'latency_mean': 1.6800700855255126, 'latency_p50': 1.6956796646118164, 'latency_p90': 1.8498832702636718}, {'batch_size': 3, 'throughput': 1.079417136096521, 'latency_mean': 2.776324257850647, 'latency_p50': 2.780614972114563, 'latency_p90': 3.040809893608093}, {'batch_size': 5, 'throughput': 1.293348985319305, 'latency_mean': 3.8470429193973543, 'latency_p50': 3.8301109075546265, 'latency_p90': 4.303791308403015}, {'batch_size': 6, 'throughput': 1.349614289594226, 'latency_mean': 4.421219762563705, 'latency_p50': 4.4644259214401245, 'latency_p90': 4.913001561164855}, {'batch_size': 8, 'throughput': 1.4069090907285668, 'latency_mean': 5.647005711793899, 'latency_p50': 5.635923981666565, 'latency_p90': 6.334073925018311}, {'batch_size': 10, 'throughput': 1.4504389506728275, 'latency_mean': 6.830485424995422, 'latency_p50': 6.845617413520813, 'latency_p90': 7.754192185401917}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-002_v35

is_internal_developer: False

language_model: junhua024/chai_1-full_002

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-06-29

win_ratio: 0.4222120935885749

generation_params: {'temperature': 0.2, '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-002-v35-mkmlizer
Waiting for job on junhua024-chai-1-full-002-v35-mkmlizer to finish
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junhua024-chai-1-full-002-v35-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-002-v35-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v35-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-002-v35-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-002-v35-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-002-v35-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-002-v35-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v35-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-002-v35-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-002-v35-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v35-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-002-v35-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-002-v35-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-002-v35-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v35-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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 junhua024-chai-1-full-002_v30: HTTPConnectionPool(host='junhua024-chai-1-full-002-v30-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-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-002-v35-mkmlizer: Downloaded to shared memory in 75.469s
junhua024-chai-1-full-002-v35-mkmlizer: Checking if junhua024/chai_1-full_002 already exists in ChaiML
junhua024-chai-1-full-002-v35-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpz6ci1rvh, device:0
junhua024-chai-1-full-002-v35-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-002-v35-mkmlizer: quantized model in 31.316s
junhua024-chai-1-full-002-v35-mkmlizer: Processed model junhua024/chai_1-full_002 in 106.867s
junhua024-chai-1-full-002-v35-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-002-v35-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-002-v35-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-002-v35
junhua024-chai-1-full-002-v35-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v35/config.json
junhua024-chai-1-full-002-v35-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v35/special_tokens_map.json
junhua024-chai-1-full-002-v35-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v35/tokenizer_config.json
junhua024-chai-1-full-002-v35-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v35/tokenizer.json
junhua024-chai-1-full-002-v35-mkmlizer: 
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Job junhua024-chai-1-full-002-v35-mkmlizer completed after 136.33s with status: succeeded
Stopping job with name junhua024-chai-1-full-002-v35-mkmlizer
Pipeline stage MKMLizer completed in 136.81s
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-002-v35
Waiting for inference service junhua024-chai-1-full-002-v35 to be ready
Failed to get response for submission junhua024-chai-1-full-002_v32: HTTPConnectionPool(host='junhua024-chai-1-full-002-v32-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-002-v35 ready after 190.79918813705444s
Failed to get response for submission junhua024-chai-1-full-002_v32: HTTPConnectionPool(host='junhua024-chai-1-full-002-v32-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Pipeline stage MKMLDeployer completed in 191.41s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.247892379760742s
Received healthy response to inference request in 1.5376389026641846s
Received healthy response to inference request in 1.6597797870635986s
Received healthy response to inference request in 1.8062193393707275s
Received healthy response to inference request in 1.5639536380767822s
5 requests
0 failed requests
5th percentile: 1.5429018497467042
10th percentile: 1.5481647968292236
20th percentile: 1.5586906909942626
30th percentile: 1.5831188678741455
40th percentile: 1.6214493274688722
50th percentile: 1.6597797870635986
60th percentile: 1.7183556079864502
70th percentile: 1.7769314289093017
80th percentile: 1.8945539474487305
90th percentile: 2.0712231636047362
95th percentile: 2.159557771682739
99th percentile: 2.2302254581451417
mean time: 1.763096809387207
Pipeline stage StressChecker completed in 10.58s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.88s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.75s
Shutdown handler de-registered
junhua024-chai-1-full-002_v35 status is now deployed due to DeploymentManager action
Shutdown handler registered
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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
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-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 4906.52s
Shutdown handler de-registered
junhua024-chai-1-full-002_v35 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-002_v35 status is now torndown due to DeploymentManager action