junhua024-chai-06-full-_78554

developer_uid: junhua024

submission_id: junhua024-chai-06-full-_78554_v3

model_name: junhua024-chai-06-full-_78554_v3

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-17T11:56:25+00:00

num_battles: 6353

num_wins: 3197

celo_rating: 1273.18

family_friendly_score: 0.5548

family_friendly_standard_error: 0.007028470103799261

submission_type: basic

model_repo: junhua024/chai_06_full_02102_1215

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': 0.6010249041810551, 'latency_mean': 1.6637195026874543, 'latency_p50': 1.6544315814971924, 'latency_p90': 1.833228302001953}, {'batch_size': 3, 'throughput': 1.0800511823208694, 'latency_mean': 2.772713847160339, 'latency_p50': 2.750355362892151, 'latency_p90': 3.056474137306213}, {'batch_size': 5, 'throughput': 1.3006854757562776, 'latency_mean': 3.819844411611557, 'latency_p50': 3.766605854034424, 'latency_p90': 4.299894213676453}, {'batch_size': 6, 'throughput': 1.3520987099136041, 'latency_mean': 4.420133633613586, 'latency_p50': 4.411290764808655, 'latency_p90': 4.896084952354431}, {'batch_size': 8, 'throughput': 1.4182468586570436, 'latency_mean': 5.613838651180267, 'latency_p50': 5.582385420799255, 'latency_p90': 6.278782606124878}, {'batch_size': 10, 'throughput': 1.443666638123561, 'latency_mean': 6.862410584688186, 'latency_p50': 6.864750981330872, 'latency_p90': 7.733756017684936}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full-_78554_v3

is_internal_developer: False

language_model: junhua024/chai_06_full_02102_1215

model_size: 13B

ranking_group: single

throughput_3p7s: 1.29

us_pacific_date: 2025-07-17

win_ratio: 0.5032268219738706

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-78554-v3-mkmlizer
Waiting for job on junhua024-chai-06-full-78554-v3-mkmlizer to finish
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junhua024-chai-06-full-78554-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-78554-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-78554-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-78554-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-78554-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-78554-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-78554-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-78554-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-78554-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-78554-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-78554-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-78554-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-78554-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-78554-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-78554-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-78554-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-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-78554-v3-mkmlizer: Downloaded to shared memory in 93.314s
junhua024-chai-06-full-78554-v3-mkmlizer: Checking if junhua024/chai_06_full_02102_1215 already exists in ChaiML
junhua024-chai-06-full-78554-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp344z4gnu, device:0
junhua024-chai-06-full-78554-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-78554-v3-mkmlizer: quantized model in 33.129s
junhua024-chai-06-full-78554-v3-mkmlizer: Processed model junhua024/chai_06_full_02102_1215 in 126.523s
junhua024-chai-06-full-78554-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-78554-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-78554-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-78554-v3/nvidia
junhua024-chai-06-full-78554-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-78554-v3/nvidia/config.json
junhua024-chai-06-full-78554-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-78554-v3/nvidia/special_tokens_map.json
junhua024-chai-06-full-78554-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-78554-v3/nvidia/tokenizer_config.json
junhua024-chai-06-full-78554-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-78554-v3/nvidia/tokenizer.json
junhua024-chai-06-full-78554-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-78554-v3/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-78554-v3-mkmlizer completed after 149.72s with status: succeeded
Stopping job with name junhua024-chai-06-full-78554-v3-mkmlizer
Pipeline stage MKMLizer completed in 150.27s
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-06-full-78554-v3
Waiting for inference service junhua024-chai-06-full-78554-v3 to be ready
Inference service junhua024-chai-06-full-78554-v3 ready after 291.41584873199463s
Pipeline stage MKMLDeployer completed in 292.06s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.507512331008911s
Received healthy response to inference request in 1.5717380046844482s
Received healthy response to inference request in 1.567413091659546s
Received healthy response to inference request in 1.4999682903289795s
Received healthy response to inference request in 1.7870969772338867s
5 requests
0 failed requests
5th percentile: 1.5134572505950927
10th percentile: 1.526946210861206
20th percentile: 1.5539241313934327
30th percentile: 1.5682780742645264
40th percentile: 1.5700080394744873
50th percentile: 1.5717380046844482
60th percentile: 1.6578815937042237
70th percentile: 1.744025182723999
80th percentile: 1.9311800479888916
90th percentile: 2.2193461894989013
95th percentile: 2.363429260253906
99th percentile: 2.47869571685791
mean time: 1.7867457389831543
Pipeline stage StressChecker completed in 10.75s
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 0.70s
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 0.72s
Shutdown handler de-registered
junhua024-chai-06-full-_78554_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-78554-v3-profiler
Waiting for inference service junhua024-chai-06-full-78554-v3-profiler to be ready
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 3077.48s
Shutdown handler de-registered
junhua024-chai-06-full-_78554_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_78554_v3 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_78554_v3 status is now torndown due to DeploymentManager action