junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v70

model_name: junhua024-chai-1-full-066126_v70

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T14:39:55+00:00

num_battles: 6823

num_wins: 3517

celo_rating: 1275.61

family_friendly_score: 0.56

family_friendly_standard_error: 0.007019971509913698

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': 0.5922161662428361, 'latency_mean': 1.6883736908435822, 'latency_p50': 1.691069483757019, 'latency_p90': 1.8498053789138793}, {'batch_size': 3, 'throughput': 1.0600325227716436, 'latency_mean': 2.819309267997742, 'latency_p50': 2.832837700843811, 'latency_p90': 3.080719232559204}, {'batch_size': 5, 'throughput': 1.2781069503475304, 'latency_mean': 3.8903405714035033, 'latency_p50': 3.8861297369003296, 'latency_p90': 4.343676280975342}, {'batch_size': 6, 'throughput': 1.34095046265864, 'latency_mean': 4.455825353860855, 'latency_p50': 4.5113765001297, 'latency_p90': 5.022604942321777}, {'batch_size': 8, 'throughput': 1.3996867515183444, 'latency_mean': 5.687708066701889, 'latency_p50': 5.731342792510986, 'latency_p90': 6.3357078552246096}, {'batch_size': 10, 'throughput': 1.4252078967750594, 'latency_mean': 6.947094509601593, 'latency_p50': 7.0042502880096436, 'latency_p90': 7.939586472511292}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v70

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.26

us_pacific_date: 2025-07-15

win_ratio: 0.5154624065660267

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': '{memory} What nuanced feelings lie behind these words?', '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-v70-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v70-mkmlizer to finish
junhua024-chai-1-full-066126-v70-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v70-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v70-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v70-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v70-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v70-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v70-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v70-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v70-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v70-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v70-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v70-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v70-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v70-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v70-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v70-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v70-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-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-v70-mkmlizer: Downloaded to shared memory in 73.397s
junhua024-chai-1-full-066126-v70-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v70-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxwcqp2az, device:0
junhua024-chai-1-full-066126-v70-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission zmeeks-capitanito-49-2300_v3: HTTPConnectionPool(host='zmeeks-capitanito-49-2300-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-066126-v70-mkmlizer: quantized model in 32.827s
junhua024-chai-1-full-066126-v70-mkmlizer: Processed model junhua024/chai-1-full-066126 in 106.324s
junhua024-chai-1-full-066126-v70-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v70-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v70-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v70/nvidia
junhua024-chai-1-full-066126-v70-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v70/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v70-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v70/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v70-mkmlizer: 
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Job junhua024-chai-1-full-066126-v70-mkmlizer completed after 139.74s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v70-mkmlizer
Pipeline stage MKMLizer completed in 140.35s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v70
Waiting for inference service junhua024-chai-1-full-066126-v70 to be ready
Failed to get response for submission zmeeks-capitanito-49-2300_v3: HTTPConnectionPool(host='zmeeks-capitanito-49-2300-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-066126-v70 ready after 252.20346021652222s
Pipeline stage MKMLDeployer completed in 252.95s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.620030641555786s
Received healthy response to inference request in 2.003251075744629s
Received healthy response to inference request in 2.178377628326416s
Received healthy response to inference request in 1.6546895503997803s
Received healthy response to inference request in 1.9107270240783691s
5 requests
0 failed requests
5th percentile: 1.705897045135498
10th percentile: 1.7571045398712157
20th percentile: 1.8595195293426514
30th percentile: 1.929231834411621
40th percentile: 1.966241455078125
50th percentile: 2.003251075744629
60th percentile: 2.0733016967773437
70th percentile: 2.1433523178100584
80th percentile: 2.26670823097229
90th percentile: 2.443369436264038
95th percentile: 2.531700038909912
99th percentile: 2.6023645210266113
mean time: 2.073415184020996
Pipeline stage StressChecker completed in 11.83s
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 0.76s
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 0.65s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v70 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 5231.57s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v70 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v70 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v70 status is now torndown due to DeploymentManager action