developer_uid: junhua024
submission_id: junhua024-chai-02-full-_96818_v1
model_name: junhua024-chai-02-full-_96818_v1
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T13:53:36+00:00
num_battles: 6950
num_wins: 3422
celo_rating: 1277.26
family_friendly_score: 0.40280000000000005
family_friendly_standard_error: 0.006936168394726299
submission_type: basic
model_repo: junhua024/chai_02_full_02_01901
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': 0.6711556460320017, 'latency_mean': 1.4897699356079102, 'latency_p50': 1.4825624227523804, 'latency_p90': 1.6546597003936767}, {'batch_size': 3, 'throughput': 1.1336729140369013, 'latency_mean': 2.6399955236911774, 'latency_p50': 2.651844620704651, 'latency_p90': 2.9611665487289427}, {'batch_size': 5, 'throughput': 1.336294522383503, 'latency_mean': 3.7215915727615356, 'latency_p50': 3.7118616104125977, 'latency_p90': 4.192554998397827}, {'batch_size': 6, 'throughput': 1.3872239416281145, 'latency_mean': 4.298484547138214, 'latency_p50': 4.289666056632996, 'latency_p90': 4.835514974594116}, {'batch_size': 8, 'throughput': 1.441966274241447, 'latency_mean': 5.51533743262291, 'latency_p50': 5.4987064599990845, 'latency_p90': 6.186446356773376}, {'batch_size': 10, 'throughput': 1.4657076559321112, 'latency_mean': 6.756302435398101, 'latency_p50': 6.796554923057556, 'latency_p90': 7.566772150993347}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-_96818_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_02_01901
model_size: 13B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-07-24
win_ratio: 0.49237410071942445
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-96818-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-96818-v1-mkmlizer to finish
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junhua024-chai-02-full-96818-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
junhua024-chai-02-full-96818-v1-mkmlizer: ║ ║
junhua024-chai-02-full-96818-v1-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-02-full-96818-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-02-full-96818-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-02-full-96818-v1-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-02-full-96818-v1-mkmlizer: ║ ║
junhua024-chai-02-full-96818-v1-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-02-full-96818-v1-mkmlizer: ║ belonging to: ║
junhua024-chai-02-full-96818-v1-mkmlizer: ║ ║
junhua024-chai-02-full-96818-v1-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-02-full-96818-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-02-full-96818-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-02-full-96818-v1-mkmlizer: ║ ║
junhua024-chai-02-full-96818-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-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-96818-v1-mkmlizer: Downloaded to shared memory in 148.852s
junhua024-chai-02-full-96818-v1-mkmlizer: Checking if junhua024/chai_02_full_02_01901 already exists in ChaiML
junhua024-chai-02-full-96818-v1-mkmlizer: Creating repo ChaiML/chai_02_full_02_01901 and uploading /tmp/tmpbtb1m_r4 to it
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junhua024-chai-02-full-96818-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpbtb1m_r4, device:0
junhua024-chai-02-full-96818-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-96818-v1-mkmlizer: quantized model in 163.916s
junhua024-chai-02-full-96818-v1-mkmlizer: Processed model junhua024/chai_02_full_02_01901 in 395.310s
junhua024-chai-02-full-96818-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-96818-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-96818-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-96818-v1/nvidia
junhua024-chai-02-full-96818-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-96818-v1/nvidia/config.json
junhua024-chai-02-full-96818-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-96818-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-96818-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-96818-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-96818-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-96818-v1/nvidia/tokenizer.json
junhua024-chai-02-full-96818-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-96818-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-96818-v1-mkmlizer completed after 419.77s with status: succeeded
Stopping job with name junhua024-chai-02-full-96818-v1-mkmlizer
Pipeline stage MKMLizer completed in 420.27s
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-02-full-96818-v1
Waiting for inference service junhua024-chai-02-full-96818-v1 to be ready
Inference service junhua024-chai-02-full-96818-v1 ready after 181.2608196735382s
Pipeline stage MKMLDeployer completed in 181.72s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.7856452465057373s
Received healthy response to inference request in 1.3706583976745605s
Received healthy response to inference request in 1.5518531799316406s
Received healthy response to inference request in 1.7204041481018066s
5 requests
1 failed requests
5th percentile: 1.4068973541259766
10th percentile: 1.4431363105773927
20th percentile: 1.5156142234802246
30th percentile: 1.5855633735656738
40th percentile: 1.6529837608337403
50th percentile: 1.7204041481018066
60th percentile: 2.146500587463379
70th percentile: 2.572597026824951
80th percentile: 6.304751968383792
90th percentile: 13.342965412139893
95th percentile: 16.862072134017943
99th percentile: 19.677357511520384
mean time: 5.561947965621949
%s, retrying in %s seconds...
Received healthy response to inference request in 1.7240862846374512s
Received healthy response to inference request in 1.7854225635528564s
Received healthy response to inference request in 1.7899715900421143s
Received healthy response to inference request in 1.4443855285644531s
Received healthy response to inference request in 1.7203919887542725s
5 requests
0 failed requests
5th percentile: 1.499586820602417
10th percentile: 1.5547881126403809
20th percentile: 1.6651906967163086
30th percentile: 1.7211308479309082
40th percentile: 1.7226085662841797
50th percentile: 1.7240862846374512
60th percentile: 1.7486207962036133
70th percentile: 1.7731553077697755
80th percentile: 1.786332368850708
90th percentile: 1.7881519794464111
95th percentile: 1.7890617847442627
99th percentile: 1.789789628982544
mean time: 1.6928515911102295
Pipeline stage StressChecker completed in 39.84s
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 0.95s
Shutdown handler de-registered
junhua024-chai-02-full-_96818_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 3293.92s
Shutdown handler de-registered
junhua024-chai-02-full-_96818_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-_96818_v1 status is now torndown due to DeploymentManager action