junhua024-chai-19-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-19-full-0022_v4
model_name: junhua024-chai-19-full-0022_v4
model_group: junhua024/chai_19-full_0
status: torndown
timestamp: 2025-07-22T06:11:34+00:00
num_battles: 5432
num_wins: 2461
celo_rating: 1236.32
family_friendly_score: 0.6024
family_friendly_standard_error: 0.006921188337272726
submission_type: basic
model_repo: junhua024/chai_19-full_0022
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': 0.6660295493430867, 'latency_mean': 1.501300733089447, 'latency_p50': 1.500947117805481, 'latency_p90': 1.6489521026611327}, {'batch_size': 3, 'throughput': 1.1276730499560041, 'latency_mean': 2.653354753255844, 'latency_p50': 2.6747846603393555, 'latency_p90': 2.8819482564926147}, {'batch_size': 5, 'throughput': 1.3149018913754542, 'latency_mean': 3.7832630002498626, 'latency_p50': 3.7790828943252563, 'latency_p90': 4.230162882804871}, {'batch_size': 6, 'throughput': 1.3712112006536195, 'latency_mean': 4.350923501253128, 'latency_p50': 4.3685420751571655, 'latency_p90': 4.8468200206756595}, {'batch_size': 8, 'throughput': 1.424374505072951, 'latency_mean': 5.586747901439667, 'latency_p50': 5.599603772163391, 'latency_p90': 6.308331155776978}, {'batch_size': 10, 'throughput': 1.4612698899139236, 'latency_mean': 6.778901278972626, 'latency_p50': 6.761549711227417, 'latency_p90': 7.636593627929687}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-19-full-0022_v4
is_internal_developer: False
language_model: junhua024/chai_19-full_0022
model_size: 13B
ranking_group: single
throughput_3p7s: 1.31
us_pacific_date: 2025-07-21
win_ratio: 0.4530559646539028
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-19-full-0022-v4-mkmlizer
Waiting for job on junhua024-chai-19-full-0022-v4-mkmlizer to finish
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junhua024-chai-19-full-0022-v4-mkmlizer: ║                                                                     ║
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junhua024-chai-19-full-0022-v4-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19-full-0022-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19-full-0022-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19-full-0022-v4-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19-full-0022-v4-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19-full-0022-v4-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19-full-0022-v4-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v4-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19-full-0022-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19-full-0022-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19-full-0022-v4-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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 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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-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-19-full-0022-v4-mkmlizer: Downloaded to shared memory in 138.294s
junhua024-chai-19-full-0022-v4-mkmlizer: Checking if junhua024/chai_19-full_0022 already exists in ChaiML
junhua024-chai-19-full-0022-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpl6e9n2g3, device:0
junhua024-chai-19-full-0022-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19-full-0022-v4-mkmlizer: quantized model in 221.277s
junhua024-chai-19-full-0022-v4-mkmlizer: Processed model junhua024/chai_19-full_0022 in 359.659s
junhua024-chai-19-full-0022-v4-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19-full-0022-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19-full-0022-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v4/nvidia
junhua024-chai-19-full-0022-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v4/nvidia/config.json
junhua024-chai-19-full-0022-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v4/nvidia/special_tokens_map.json
junhua024-chai-19-full-0022-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v4/nvidia/tokenizer_config.json
junhua024-chai-19-full-0022-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v4/nvidia/tokenizer.json
junhua024-chai-19-full-0022-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v4/nvidia/flywheel_model.0.safetensors
junhua024-chai-19-full-0022-v4-mkmlizer: 
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Job junhua024-chai-19-full-0022-v4-mkmlizer completed after 387.88s with status: succeeded
Stopping job with name junhua024-chai-19-full-0022-v4-mkmlizer
Pipeline stage MKMLizer completed in 388.46s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-19-full-0022-v4
Waiting for inference service junhua024-chai-19-full-0022-v4 to be ready
Failed to get response for submission chaiml-llama-8b-nis-retu_8225_v2: HTTPConnectionPool(host='chaiml-llama-8b-nis-retu-8225-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-19-full-0022-v4 ready after 321.1208417415619s
Pipeline stage MKMLDeployer completed in 321.73s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.566969633102417s
Received healthy response to inference request in 1.6401216983795166s
Received healthy response to inference request in 1.634248971939087s
Received healthy response to inference request in 1.1451303958892822s
Received healthy response to inference request in 1.3504993915557861s
5 requests
0 failed requests
5th percentile: 1.186204195022583
10th percentile: 1.2272779941558838
20th percentile: 1.3094255924224854
30th percentile: 1.4072493076324464
40th percentile: 1.5207491397857666
50th percentile: 1.634248971939087
60th percentile: 1.6365980625152587
70th percentile: 1.6389471530914306
80th percentile: 1.8254912853240968
90th percentile: 2.196230459213257
95th percentile: 2.381600046157837
99th percentile: 2.529895715713501
mean time: 1.6673940181732179
Pipeline stage StressChecker completed in 9.73s
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 0.66s
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 0.69s
Shutdown handler de-registered
junhua024-chai-19-full-0022_v4 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 2781.08s
Shutdown handler de-registered
junhua024-chai-19-full-0022_v4 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19-full-0022_v4 status is now torndown due to DeploymentManager action