developer_uid: junhua024
submission_id: junhua024-chai-02-full-02_140_v1
model_name: junhua024-chai-02-full-02_140_v1
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T14:32:13+00:00
num_battles: 5563
num_wins: 2839
celo_rating: 1292.44
family_friendly_score: 0.4002
family_friendly_standard_error: 0.006928779979188255
submission_type: basic
model_repo: junhua024/chai_02_full_02_01902
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': 0.6585484766667836, 'latency_mean': 1.518379933834076, 'latency_p50': 1.5236948728561401, 'latency_p90': 1.6579625844955443}, {'batch_size': 3, 'throughput': 1.1211273562454742, 'latency_mean': 2.6685702085494993, 'latency_p50': 2.6756280660629272, 'latency_p90': 2.909678244590759}, {'batch_size': 5, 'throughput': 1.295772306760157, 'latency_mean': 3.839694850444794, 'latency_p50': 3.850834012031555, 'latency_p90': 4.280505442619324}, {'batch_size': 6, 'throughput': 1.3550519406924864, 'latency_mean': 4.396729543209076, 'latency_p50': 4.426417827606201, 'latency_p90': 4.914218497276306}, {'batch_size': 8, 'throughput': 1.4105344421559018, 'latency_mean': 5.623158192634582, 'latency_p50': 5.672107100486755, 'latency_p90': 6.337265586853027}, {'batch_size': 10, 'throughput': 1.4336558747776431, 'latency_mean': 6.919117450714111, 'latency_p50': 6.9659199714660645, 'latency_p90': 7.746705651283263}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-02_140_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_02_01902
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-24
win_ratio: 0.5103361495595902
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, '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': "{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-02-full-02-140-v1-mkmlizer
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Waiting for job on junhua024-chai-02-full-02-140-v1-mkmlizer to finish
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junhua024-chai-02-full-02-140-v1-mkmlizer: ║ ║
junhua024-chai-02-full-02-140-v1-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-02-full-02-140-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-02-full-02-140-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-02-full-02-140-v1-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-02-full-02-140-v1-mkmlizer: ║ ║
junhua024-chai-02-full-02-140-v1-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-02-full-02-140-v1-mkmlizer: ║ belonging to: ║
junhua024-chai-02-full-02-140-v1-mkmlizer: ║ ║
junhua024-chai-02-full-02-140-v1-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-02-full-02-140-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-02-full-02-140-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-02-full-02-140-v1-mkmlizer: ║ ║
junhua024-chai-02-full-02-140-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-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-02-full-02-140-v1-mkmlizer: Downloaded to shared memory in 135.220s
junhua024-chai-02-full-02-140-v1-mkmlizer: Checking if junhua024/chai_02_full_02_01902 already exists in ChaiML
junhua024-chai-02-full-02-140-v1-mkmlizer: Creating repo ChaiML/chai_02_full_02_01902 and uploading /tmp/tmpvths_s8e to it
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-02-full-02-140-v1-mkmlizer: 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:01<00:39, 1.60s/it] 8%|▊ | 2/26 [00:03<00:46, 1.95s/it] 12%|█▏ | 3/26 [00:05<00:43, 1.89s/it] 15%|█▌ | 4/26 [00:07<00:43, 1.99s/it] 19%|█▉ | 5/26 [00:09<00:38, 1.83s/it] 23%|██▎ | 6/26 [00:11<00:36, 1.82s/it] 27%|██▋ | 7/26 [00:12<00:33, 1.75s/it] 31%|███ | 8/26 [00:14<00:29, 1.65s/it] 35%|███▍ | 9/26 [00:16<00:30, 1.82s/it] 38%|███▊ | 10/26 [00:18<00:28, 1.78s/it] 42%|████▏ | 11/26 [00:19<00:25, 1.71s/it] 46%|████▌ | 12/26 [00:21<00:24, 1.76s/it] 50%|█████ | 13/26 [00:23<00:23, 1.83s/it] 54%|█████▍ | 14/26 [00:25<00:22, 1.87s/it] 58%|█████▊ | 15/26 [00:27<00:20, 1.86s/it] 62%|██████▏ | 16/26 [00:31<00:24, 2.48s/it] 65%|██████▌ | 17/26 [00:33<00:20, 2.30s/it] 69%|██████▉ | 18/26 [00:35<00:18, 2.28s/it] 73%|███████▎ | 19/26 [00:38<00:17, 2.54s/it] 77%|███████▋ | 20/26 [00:42<00:18, 3.09s/it] 81%|████████ | 21/26 [00:44<00:13, 2.62s/it] 85%|████████▍ | 22/26 [00:46<00:09, 2.49s/it] 88%|████████▊ | 23/26 [00:47<00:06, 2.19s/it] 92%|█████████▏| 24/26 [00:54<00:06, 3.46s/it] 96%|█████████▌| 25/26 [00:56<00:02, 2.91s/it] 100%|██████████| 26/26 [00:57<00:00, 2.39s/it] 100%|██████████| 26/26 [00:57<00:00, 2.20s/it]
junhua024-chai-02-full-02-140-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpvths_s8e, device:0
junhua024-chai-02-full-02-140-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-02-full-02-140-v1-mkmlizer: quantized model in 164.126s
junhua024-chai-02-full-02-140-v1-mkmlizer: Processed model junhua024/chai_02_full_02_01902 in 391.790s
junhua024-chai-02-full-02-140-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-02-140-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-02-140-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-02-140-v1/nvidia
junhua024-chai-02-full-02-140-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-140-v1/nvidia/config.json
junhua024-chai-02-full-02-140-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-140-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-02-140-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-140-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-02-140-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-140-v1/nvidia/tokenizer.json
junhua024-chai-02-full-02-140-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-02-140-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-02-140-v1-mkmlizer completed after 418.99s with status: succeeded
Stopping job with name junhua024-chai-02-full-02-140-v1-mkmlizer
Pipeline stage MKMLizer completed in 420.15s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-02-140-v1
Waiting for inference service junhua024-chai-02-full-02-140-v1 to be ready
Inference service junhua024-chai-02-full-02-140-v1 ready after 191.39223861694336s
Pipeline stage MKMLDeployer completed in 191.89s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.790292978286743s
Received healthy response to inference request in 1.7671751976013184s
Received healthy response to inference request in 1.4891183376312256s
Received healthy response to inference request in 1.3007373809814453s
Received healthy response to inference request in 2.076134204864502s
5 requests
0 failed requests
5th percentile: 1.3384135723114015
10th percentile: 1.3760897636413574
20th percentile: 1.4514421463012694
30th percentile: 1.5447297096252441
40th percentile: 1.6559524536132812
50th percentile: 1.7671751976013184
60th percentile: 1.8907588005065918
70th percentile: 2.0143424034118653
80th percentile: 2.2189659595489504
90th percentile: 2.5046294689178468
95th percentile: 2.6474612236022947
99th percentile: 2.7617266273498533
mean time: 1.8846916198730468
Pipeline stage StressChecker completed in 11.45s
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 0.77s
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 0.81s
Shutdown handler de-registered
junhua024-chai-02-full-02_140_v1 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 3229.84s
Shutdown handler de-registered
junhua024-chai-02-full-02_140_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-02_140_v1 status is now torndown due to DeploymentManager action