junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v97
model_name: junhua024-chai-1-full-066126_v97
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-16T03:55:11+00:00
num_battles: 10245
num_wins: 4915
celo_rating: 1267.14
family_friendly_score: 0.5512
family_friendly_standard_error: 0.007033897354951947
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': 0.5939764533289961, 'latency_mean': 1.6833815824985505, 'latency_p50': 1.6995909214019775, 'latency_p90': 1.8514299869537354}, {'batch_size': 3, 'throughput': 1.0683923054348994, 'latency_mean': 2.8009202694892883, 'latency_p50': 2.8175697326660156, 'latency_p90': 3.092796516418457}, {'batch_size': 5, 'throughput': 1.2714811943455908, 'latency_mean': 3.9143789064884187, 'latency_p50': 3.937756299972534, 'latency_p90': 4.341129446029663}, {'batch_size': 6, 'throughput': 1.3646035169865607, 'latency_mean': 4.3832164013385775, 'latency_p50': 4.431695222854614, 'latency_p90': 4.895354986190796}, {'batch_size': 8, 'throughput': 1.4275561493268596, 'latency_mean': 5.552047836780548, 'latency_p50': 5.5377020835876465, 'latency_p90': 6.417591667175293}, {'batch_size': 10, 'throughput': 1.4367729292082445, 'latency_mean': 6.902129083871841, 'latency_p50': 6.893064498901367, 'latency_p90': 7.852136015892029}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v97
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-15
win_ratio: 0.4797462176671547
generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, 'presence_penalty': 1.0, '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-1-full-066126-v97-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v97-mkmlizer to finish
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junhua024-chai-1-full-066126-v97-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v97-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v97-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v97-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v97-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v97-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v97-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v97-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v97-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v97-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v97-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v97-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v97-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v97-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v97-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v97-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-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-v97-mkmlizer: Downloaded to shared memory in 76.361s
junhua024-chai-1-full-066126-v97-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v97-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpgz3yb89o, device:0
junhua024-chai-1-full-066126-v97-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v97-mkmlizer: quantized model in 31.454s
junhua024-chai-1-full-066126-v97-mkmlizer: Processed model junhua024/chai-1-full-066126 in 107.908s
junhua024-chai-1-full-066126-v97-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v97-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v97-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v97/nvidia
junhua024-chai-1-full-066126-v97-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v97/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v97-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v97/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v97-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v97/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v97-mkmlizer: 
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Job junhua024-chai-1-full-066126-v97-mkmlizer completed after 139.27s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v97-mkmlizer
Pipeline stage MKMLizer completed in 151.06s
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-v97
Waiting for inference service junhua024-chai-1-full-066126-v97 to be ready
Failed to get response for submission junhua024-chai-1-full-066126_v95: HTTPConnectionPool(host='junhua024-chai-1-full-066126-v95-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-066126-v97 ready after 271.8713173866272s
Pipeline stage MKMLDeployer completed in 272.52s
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 2.4335906505584717s
Received healthy response to inference request in 1.8777198791503906s
Received healthy response to inference request in 1.845691442489624s
Received healthy response to inference request in 1.6777191162109375s
5 requests
1 failed requests
5th percentile: 1.711313581466675
10th percentile: 1.744908046722412
20th percentile: 1.8120969772338866
30th percentile: 1.8520971298217774
40th percentile: 1.864908504486084
50th percentile: 1.8777198791503906
60th percentile: 2.100068187713623
70th percentile: 2.322416496276855
80th percentile: 6.020821523666385
90th percentile: 13.195283269882204
95th percentile: 16.78251414299011
99th percentile: 19.65229884147644
mean time: 5.640893220901489
%s, retrying in %s seconds...
Received healthy response to inference request in 1.4974520206451416s
Received healthy response to inference request in 2.507272243499756s
Received healthy response to inference request in 1.7917377948760986s
Received healthy response to inference request in 1.6236064434051514s
Received healthy response to inference request in 2.522428035736084s
5 requests
0 failed requests
5th percentile: 1.5226829051971436
10th percentile: 1.5479137897491455
20th percentile: 1.5983755588531494
30th percentile: 1.6572327136993408
40th percentile: 1.7244852542877198
50th percentile: 1.7917377948760986
60th percentile: 2.0779515743255614
70th percentile: 2.3641653537750242
80th percentile: 2.5103034019470214
90th percentile: 2.516365718841553
95th percentile: 2.5193968772888184
99th percentile: 2.5218218040466307
mean time: 1.9884993076324462
Pipeline stage StressChecker completed in 42.13s
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 0.74s
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 0.77s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v97 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
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 3104.51s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v97 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v97 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v97 status is now torndown due to DeploymentManager action