developer_uid: junhua024
submission_id: junhua024-chai-12-full-200_v1
model_name: junhua024-chai-12-full-200_v1
model_group: junhua024/chai_12_full_2
status: torndown
timestamp: 2025-07-28T12:32:23+00:00
num_battles: 7425
num_wins: 4016
celo_rating: 1291.72
family_friendly_score: 0.5196000000000001
family_friendly_standard_error: 0.007065632880358277
submission_type: basic
model_repo: junhua024/chai_12_full_200
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
display_name: junhua024-chai-12-full-200_v1
is_internal_developer: False
language_model: junhua024/chai_12_full_200
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5408754208754208
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity. Each of your responses should be fewer than 64 tokens long.", '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-12-full-200-v1-mkmlizer
Waiting for job on junhua024-chai-12-full-200-v1-mkmlizer to finish
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junhua024-chai-12-full-200-v1-mkmlizer: ║ ║
junhua024-chai-12-full-200-v1-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-12-full-200-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-12-full-200-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-12-full-200-v1-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-12-full-200-v1-mkmlizer: ║ ║
junhua024-chai-12-full-200-v1-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-12-full-200-v1-mkmlizer: ║ belonging to: ║
junhua024-chai-12-full-200-v1-mkmlizer: ║ ║
junhua024-chai-12-full-200-v1-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-12-full-200-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-12-full-200-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-12-full-200-v1-mkmlizer: ║ ║
junhua024-chai-12-full-200-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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`
Failed to get response for submission junhua024-chai-19cl-full-0022_v7: HTTPConnectionPool(host='junhua024-chai-19cl-full-0022-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-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-12-full-200-v1-mkmlizer: Downloaded to shared memory in 122.235s
junhua024-chai-12-full-200-v1-mkmlizer: Checking if junhua024/chai_12_full_200 already exists in ChaiML
junhua024-chai-12-full-200-v1-mkmlizer: Creating repo ChaiML/chai_12_full_200 and uploading /tmp/tmpw5ocr4_0 to it
junhua024-chai-12-full-200-v1-mkmlizer: 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:01<00:42, 1.69s/it] 8%|▊ | 2/26 [00:03<00:41, 1.73s/it] 12%|█▏ | 3/26 [00:05<00:40, 1.76s/it] 15%|█▌ | 4/26 [00:06<00:34, 1.58s/it] 19%|█▉ | 5/26 [00:11<00:59, 2.85s/it] 23%|██▎ | 6/26 [00:13<00:47, 2.39s/it] 27%|██▋ | 7/26 [00:14<00:40, 2.14s/it] 31%|███ | 8/26 [00:17<00:39, 2.20s/it] 35%|███▍ | 9/26 [00:19<00:36, 2.17s/it] 38%|███▊ | 10/26 [00:20<00:29, 1.87s/it] 42%|████▏ | 11/26 [00:21<00:26, 1.76s/it] 46%|████▌ | 12/26 [00:23<00:22, 1.64s/it] 50%|█████ | 13/26 [00:24<00:20, 1.54s/it] 54%|█████▍ | 14/26 [00:30<00:35, 2.96s/it] 58%|█████▊ | 15/26 [00:32<00:28, 2.60s/it] 62%|██████▏ | 16/26 [00:34<00:23, 2.35s/it] 65%|██████▌ | 17/26 [00:36<00:20, 2.32s/it] 69%|██████▉ | 18/26 [00:38<00:16, 2.06s/it] 73%|███████▎ | 19/26 [00:39<00:13, 1.91s/it] 77%|███████▋ | 20/26 [00:40<00:10, 1.74s/it] 81%|████████ | 21/26 [00:42<00:08, 1.64s/it] 85%|████████▍ | 22/26 [00:44<00:06, 1.72s/it] 88%|████████▊ | 23/26 [00:49<00:08, 2.77s/it] 92%|█████████▏| 24/26 [00:51<00:05, 2.57s/it] 96%|█████████▌| 25/26 [00:53<00:02, 2.31s/it] 100%|██████████| 26/26 [00:54<00:00, 1.96s/it] 100%|██████████| 26/26 [00:54<00:00, 2.09s/it]
junhua024-chai-12-full-200-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpw5ocr4_0, device:0
junhua024-chai-12-full-200-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-200-v1-mkmlizer: quantized model in 161.763s
junhua024-chai-12-full-200-v1-mkmlizer: Processed model junhua024/chai_12_full_200 in 365.426s
junhua024-chai-12-full-200-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-200-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-200-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-200-v1/nvidia
junhua024-chai-12-full-200-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-200-v1/nvidia/config.json
junhua024-chai-12-full-200-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-200-v1/nvidia/special_tokens_map.json
junhua024-chai-12-full-200-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-200-v1/nvidia/tokenizer_config.json
junhua024-chai-12-full-200-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-200-v1/nvidia/tokenizer.json
Failed to get response for submission junhua024-chai-19cl-full-0022_v7: HTTPConnectionPool(host='junhua024-chai-19cl-full-0022-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-12-full-200-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-200-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-200-v1-mkmlizer completed after 389.0s with status: succeeded
Stopping job with name junhua024-chai-12-full-200-v1-mkmlizer
Pipeline stage MKMLizer completed in 389.53s
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-12-full-200-v1
Waiting for inference service junhua024-chai-12-full-200-v1 to be ready
Failed to get response for submission junhua024-chai-19cl-full-0022_v7: HTTPConnectionPool(host='junhua024-chai-19cl-full-0022-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-12-full-200-v1 ready after 211.76157641410828s
Pipeline stage MKMLDeployer completed in 212.96s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.4514594078063965s
Received healthy response to inference request in 3.7192070484161377s
Received healthy response to inference request in 2.1039698123931885s
Received healthy response to inference request in 2.3172531127929688s
Received healthy response to inference request in 2.1669607162475586s
5 requests
0 failed requests
5th percentile: 2.1165679931640624
10th percentile: 2.1291661739349363
20th percentile: 2.1543625354766847
30th percentile: 2.1970191955566407
40th percentile: 2.2571361541748045
50th percentile: 2.3172531127929688
60th percentile: 2.77093563079834
70th percentile: 3.2246181488037107
80th percentile: 3.5050089359283447
90th percentile: 3.612107992172241
95th percentile: 3.6656575202941895
99th percentile: 3.708497142791748
mean time: 2.75177001953125
Pipeline stage StressChecker completed in 15.53s
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 0.79s
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 1.02s
Shutdown handler de-registered
junhua024-chai-12-full-200_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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 6164.10s
Shutdown handler de-registered
junhua024-chai-12-full-200_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-200_v1 status is now torndown due to DeploymentManager action