junhua024-chai-06-full-_33146

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_33146_v4
model_name: junhua024-chai-06-full-_33146_v4
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T22:00:27+00:00
num_battles: 7387
num_wins: 3566
celo_rating: 1276.19
family_friendly_score: 0.5504
family_friendly_standard_error: 0.007035052807193419
submission_type: basic
model_repo: junhua024/chai_06_full_02098_0106
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': 0.5858139618745171, 'latency_mean': 1.706843181848526, 'latency_p50': 1.7107099294662476, 'latency_p90': 1.8788776397705078}, {'batch_size': 3, 'throughput': 1.0673402118246, 'latency_mean': 2.797865959405899, 'latency_p50': 2.806654691696167, 'latency_p90': 3.079365038871765}, {'batch_size': 5, 'throughput': 1.2731170651697405, 'latency_mean': 3.9040348386764525, 'latency_p50': 3.8877196311950684, 'latency_p90': 4.344132280349731}, {'batch_size': 6, 'throughput': 1.3577462960899749, 'latency_mean': 4.401904602050781, 'latency_p50': 4.375378727912903, 'latency_p90': 4.87477560043335}, {'batch_size': 8, 'throughput': 1.3898666997559537, 'latency_mean': 5.720815360546112, 'latency_p50': 5.751614928245544, 'latency_p90': 6.381185317039489}, {'batch_size': 10, 'throughput': 1.4367048306801486, 'latency_mean': 6.916334602832794, 'latency_p50': 6.8747029304504395, 'latency_p90': 7.761488127708435}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_33146_v4
is_internal_developer: False
language_model: junhua024/chai_06_full_02098_0106
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-18
win_ratio: 0.48273994855827806
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-33146-v4-mkmlizer
Waiting for job on junhua024-chai-06-full-33146-v4-mkmlizer to finish
junhua024-chai-06-full-33146-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-33146-v4-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-33146-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-33146-v4-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-33146-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-33146-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-33146-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-33146-v4-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-33146-v4-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-33146-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-33146-v4-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-33146-v4-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-33146-v4-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-33146-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-33146-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-33146-v4-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-33146-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-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-06-full-33146-v4-mkmlizer: Downloaded to shared memory in 84.284s
junhua024-chai-06-full-33146-v4-mkmlizer: Checking if junhua024/chai_06_full_02098_0106 already exists in ChaiML
junhua024-chai-06-full-33146-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1yp_rpd2, device:0
junhua024-chai-06-full-33146-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-mistral31-24b-s_69496_v19: HTTPConnectionPool(host='chaiml-mistral31-24b-s-69496-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-33146-v4-mkmlizer: quantized model in 32.318s
junhua024-chai-06-full-33146-v4-mkmlizer: Processed model junhua024/chai_06_full_02098_0106 in 116.685s
junhua024-chai-06-full-33146-v4-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-33146-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-33146-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-33146-v4/nvidia
junhua024-chai-06-full-33146-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-33146-v4/nvidia/config.json
junhua024-chai-06-full-33146-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-33146-v4/nvidia/special_tokens_map.json
junhua024-chai-06-full-33146-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-33146-v4/nvidia/tokenizer_config.json
junhua024-chai-06-full-33146-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-33146-v4/nvidia/tokenizer.json
junhua024-chai-06-full-33146-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-33146-v4/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-33146-v4-mkmlizer: 
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Job junhua024-chai-06-full-33146-v4-mkmlizer completed after 141.14s with status: succeeded
Stopping job with name junhua024-chai-06-full-33146-v4-mkmlizer
Pipeline stage MKMLizer completed in 141.67s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-33146-v4
Waiting for inference service junhua024-chai-06-full-33146-v4 to be ready
Failed to get response for submission chaiml-20250611-retune-_1558_v12: HTTPConnectionPool(host='chaiml-20250611-retune-1558-v12-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_30622_v23: HTTPConnectionPool(host='junhua024-chai-06-full-30622-v23-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-33146-v4 ready after 332.16755747795105s
Pipeline stage MKMLDeployer completed in 332.83s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1856560707092285s
Received healthy response to inference request in 1.540797472000122s
Received healthy response to inference request in 1.5016515254974365s
Received healthy response to inference request in 1.9634661674499512s
Received healthy response to inference request in 1.9023590087890625s
5 requests
0 failed requests
5th percentile: 1.5094807147979736
10th percentile: 1.5173099040985107
20th percentile: 1.532968282699585
30th percentile: 1.6131097793579101
40th percentile: 1.7577343940734864
50th percentile: 1.9023590087890625
60th percentile: 1.926801872253418
70th percentile: 1.9512447357177733
80th percentile: 2.0079041481018067
90th percentile: 2.0967801094055174
95th percentile: 2.141218090057373
99th percentile: 2.1767684745788576
mean time: 1.81878604888916
Pipeline stage StressChecker completed in 10.59s
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 0.65s
Shutdown handler de-registered
junhua024-chai-06-full-_33146_v4 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
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 5224.80s
Shutdown handler de-registered
junhua024-chai-06-full-_33146_v4 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_33146_v4 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_33146_v4 status is now torndown due to DeploymentManager action