junhua024-chai-06-full_30622

developer_uid: junhua024

submission_id: junhua024-chai-06-full_30622_v30

model_name: junhua024-chai-06-full_30622_v30

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-20T10:20:56+00:00

num_battles: 5692

num_wins: 2854

celo_rating: 1283.97

family_friendly_score: 0.5489999999999999

family_friendly_standard_error: 0.007037030623778754

submission_type: basic

model_repo: junhua024/chai_06_full_02102_1925

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': 0.5897670736547266, 'latency_mean': 1.695475047826767, 'latency_p50': 1.688961386680603, 'latency_p90': 1.864813756942749}, {'batch_size': 3, 'throughput': 1.0749709495676334, 'latency_mean': 2.77859308719635, 'latency_p50': 2.7920618057250977, 'latency_p90': 3.0912315368652346}, {'batch_size': 5, 'throughput': 1.289855013075711, 'latency_mean': 3.858256379365921, 'latency_p50': 3.8730117082595825, 'latency_p90': 4.310285878181458}, {'batch_size': 6, 'throughput': 1.3553810399332156, 'latency_mean': 4.403188395500183, 'latency_p50': 4.419186234474182, 'latency_p90': 4.922380089759827}, {'batch_size': 8, 'throughput': 1.4155148244831548, 'latency_mean': 5.620008554458618, 'latency_p50': 5.625164866447449, 'latency_p90': 6.316800951957703}, {'batch_size': 10, 'throughput': 1.4380076119944771, 'latency_mean': 6.890319250822067, 'latency_p50': 6.9520039558410645, 'latency_p90': 7.650709009170532}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full_30622_v30

is_internal_developer: False

language_model: junhua024/chai_06_full_02102_1925

model_size: 13B

ranking_group: single

throughput_3p7s: 1.27

us_pacific_date: 2025-07-20

win_ratio: 0.5014054813773717

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
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Running pipeline stage MKMLizer
Starting job with name junhua024-chai-06-full-30622-v30-mkmlizer
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junhua024-chai-06-full-30622-v30-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-30622-v30-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v30-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-30622-v30-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-30622-v30-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-30622-v30-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-30622-v30-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v30-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-30622-v30-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-30622-v30-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v30-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-30622-v30-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-30622-v30-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-30622-v30-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v30-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-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-06-full-30622-v30-mkmlizer: Downloaded to shared memory in 87.621s
junhua024-chai-06-full-30622-v30-mkmlizer: Checking if junhua024/chai_06_full_02102_1925 already exists in ChaiML
Failed to get response for submission junhua024-chai-16-full-_94000_v4: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_96988_v1: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-30622-v30-mkmlizer: quantized model in 31.780s
junhua024-chai-06-full-30622-v30-mkmlizer: Processed model junhua024/chai_06_full_02102_1925 in 119.518s
junhua024-chai-06-full-30622-v30-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-30622-v30-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-30622-v30-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v30/nvidia
junhua024-chai-06-full-30622-v30-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v30/nvidia/config.json
junhua024-chai-06-full-30622-v30-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v30/nvidia/special_tokens_map.json
junhua024-chai-06-full-30622-v30-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v30/nvidia/tokenizer_config.json
junhua024-chai-06-full-30622-v30-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v30/nvidia/tokenizer.json
junhua024-chai-06-full-30622-v30-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v30/nvidia/flywheel_model.0.safetensors
Job junhua024-chai-06-full-30622-v30-mkmlizer completed after 150.45s with status: succeeded
Stopping job with name junhua024-chai-06-full-30622-v30-mkmlizer
Pipeline stage MKMLizer completed in 150.96s
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-06-full-30622-v30
Waiting for inference service junhua024-chai-06-full-30622-v30 to be ready
Failed to get response for submission junhua024-chai-16-full-_96988_v4: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_96988_v1: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_94000_v4: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_94000_v4: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_96988_v4: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_96988_v1: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_94000_v4: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_94000_v4: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_96988_v1: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-30622-v30 ready after 322.08677887916565s
Pipeline stage MKMLDeployer completed in 322.55s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.5780413150787354s
Received healthy response to inference request in 1.5411643981933594s
Received healthy response to inference request in 2.322585105895996s
Received healthy response to inference request in 1.8706331253051758s
Received healthy response to inference request in 1.8772175312042236s
5 requests
0 failed requests
5th percentile: 1.6070581436157227
10th percentile: 1.672951889038086
20th percentile: 1.8047393798828124
30th percentile: 1.8719500064849854
40th percentile: 1.8745837688446045
50th percentile: 1.8772175312042236
60th percentile: 2.055364561080933
70th percentile: 2.2335115909576415
80th percentile: 2.3736763477325438
90th percentile: 2.4758588314056396
95th percentile: 2.5269500732421877
99th percentile: 2.567823066711426
mean time: 2.0379282951354982
Pipeline stage StressChecker completed in 11.69s
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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 0.67s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.93s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v30 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3127.19s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v30 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full_30622_v30 status is now torndown due to DeploymentManager action