junhua024-chai-06-full_75415

developer_uid: junhua024
submission_id: junhua024-chai-06-full_75415_v10
model_name: junhua024-chai-06-full_75415_v10
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T22:00:17+00:00
num_battles: 8485
num_wins: 4054
celo_rating: 1269.51
family_friendly_score: 0.558
family_friendly_standard_error: 0.007023332542319209
submission_type: basic
model_repo: junhua024/chai_06_full_02102_20241
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': 0.5944630500365533, 'latency_mean': 1.6820240092277527, 'latency_p50': 1.6849839687347412, 'latency_p90': 1.8442448377609253}, {'batch_size': 3, 'throughput': 1.0800086792518016, 'latency_mean': 2.770535364151001, 'latency_p50': 2.77251398563385, 'latency_p90': 3.079865884780884}, {'batch_size': 5, 'throughput': 1.2897670372003753, 'latency_mean': 3.8631580090522766, 'latency_p50': 3.85660982131958, 'latency_p90': 4.315188145637512}, {'batch_size': 6, 'throughput': 1.3522885927930766, 'latency_mean': 4.418591598272323, 'latency_p50': 4.422697305679321, 'latency_p90': 4.981798362731934}, {'batch_size': 8, 'throughput': 1.4027847945611118, 'latency_mean': 5.653339587450027, 'latency_p50': 5.729117512702942, 'latency_p90': 6.358297109603882}, {'batch_size': 10, 'throughput': 1.4412076499729403, 'latency_mean': 6.884423757791519, 'latency_p50': 6.903575897216797, 'latency_p90': 7.733965563774109}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full_75415_v10
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_20241
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-17
win_ratio: 0.4777843252799057
generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, '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-06-full-75415-v10-mkmlizer
Waiting for job on junhua024-chai-06-full-75415-v10-mkmlizer to finish
junhua024-chai-06-full-75415-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-75415-v10-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-75415-v10-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-75415-v10-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v10-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-75415-v10-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-75415-v10-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-75415-v10-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-75415-v10-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v10-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-75415-v10-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-75415-v10-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v10-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-75415-v10-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-75415-v10-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-75415-v10-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-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-06-full-75415-v10-mkmlizer: Downloaded to shared memory in 52.241s
junhua024-chai-06-full-75415-v10-mkmlizer: Checking if junhua024/chai_06_full_02102_20241 already exists in ChaiML
junhua024-chai-06-full-75415-v10-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4e_i4wi1, device:0
junhua024-chai-06-full-75415-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-75415-v10-mkmlizer: quantized model in 31.383s
junhua024-chai-06-full-75415-v10-mkmlizer: Processed model junhua024/chai_06_full_02102_20241 in 83.685s
junhua024-chai-06-full-75415-v10-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-75415-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-75415-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v10/nvidia
junhua024-chai-06-full-75415-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v10/nvidia/config.json
junhua024-chai-06-full-75415-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v10/nvidia/special_tokens_map.json
junhua024-chai-06-full-75415-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v10/nvidia/tokenizer_config.json
junhua024-chai-06-full-75415-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v10/nvidia/tokenizer.json
Failed to get response for submission junhua024-chai-06-full-_75415_v8: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v8-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-_75415_v7: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-75415-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v10/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-75415-v10-mkmlizer: 
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Job junhua024-chai-06-full-75415-v10-mkmlizer completed after 106.83s with status: succeeded
Stopping job with name junhua024-chai-06-full-75415-v10-mkmlizer
Pipeline stage MKMLizer completed in 107.94s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.48s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-75415-v10
Waiting for inference service junhua024-chai-06-full-75415-v10 to be ready
Failed to get response for submission junhua024-chai-06-full-_75415_v7: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-_75415_v5: HTTPConnectionPool(host='junhua024-chai-06-full-75415-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission blend_fader_2025-07-10: HTTPConnectionPool(host='nitral-ai-captain-bmo-12b-v67-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x70a9d0c60450>, 'Connection to nitral-ai-captain-bmo-12b-v67-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
Inference service junhua024-chai-06-full-75415-v10 ready after 306.15945649147034s
Pipeline stage MKMLDeployer completed in 307.33s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4587490558624268s
Received healthy response to inference request in 1.6674976348876953s
Received healthy response to inference request in 1.8133420944213867s
Received healthy response to inference request in 1.6720974445343018s
Received healthy response to inference request in 2.0343754291534424s
5 requests
0 failed requests
5th percentile: 1.6684175968170165
10th percentile: 1.669337558746338
20th percentile: 1.6711774826049806
30th percentile: 1.7003463745117187
40th percentile: 1.7568442344665527
50th percentile: 1.8133420944213867
60th percentile: 1.901755428314209
70th percentile: 1.9901687622070312
80th percentile: 2.1192501544952393
90th percentile: 2.288999605178833
95th percentile: 2.37387433052063
99th percentile: 2.4417741107940674
mean time: 1.9292123317718506
Pipeline stage StressChecker completed in 13.83s
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 1.33s
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 1.34s
Shutdown handler de-registered
junhua024-chai-06-full_75415_v10 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 3309.22s
Shutdown handler de-registered
junhua024-chai-06-full_75415_v10 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full_75415_v10 status is now torndown due to DeploymentManager action
junhua024-chai-06-full_75415_v10 status is now torndown due to DeploymentManager action