junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v95
model_name: junhua024-chai-1-full-066126_v95
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-16T03:32:55+00:00
num_battles: 9541
num_wins: 4659
celo_rating: 1275.28
family_friendly_score: 0.5446
family_friendly_standard_error: 0.0070428806606387985
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': 0.5923880418158104, 'latency_mean': 1.6879757416248322, 'latency_p50': 1.6969820261001587, 'latency_p90': 1.8634034395217896}, {'batch_size': 3, 'throughput': 1.052372259283944, 'latency_mean': 2.8454327738285063, 'latency_p50': 2.8507537841796875, 'latency_p90': 3.130143666267395}, {'batch_size': 5, 'throughput': 1.2694699351697458, 'latency_mean': 3.9188894641399385, 'latency_p50': 3.923383593559265, 'latency_p90': 4.396744203567505}, {'batch_size': 6, 'throughput': 1.318387059343816, 'latency_mean': 4.5168043541908265, 'latency_p50': 4.5742868185043335, 'latency_p90': 5.060390663146973}, {'batch_size': 8, 'throughput': 1.3835871216349458, 'latency_mean': 5.73966368317604, 'latency_p50': 5.793476343154907, 'latency_p90': 6.399742269515992}, {'batch_size': 10, 'throughput': 1.4194268544400925, 'latency_mean': 6.986681514978409, 'latency_p50': 7.0113441944122314, 'latency_p90': 7.840263867378235}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v95
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.24
us_pacific_date: 2025-07-15
win_ratio: 0.488313593962897
generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, '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-v95-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v95-mkmlizer to finish
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junhua024-chai-1-full-066126-v95-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v95-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v95-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v95-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v95-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v95-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v95-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v95-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v95-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v95-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v95-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v95-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v95-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v95-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v95-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v95-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-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-v95-mkmlizer: Downloaded to shared memory in 81.834s
junhua024-chai-1-full-066126-v95-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v95-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpknrtw6er, device:0
junhua024-chai-1-full-066126-v95-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v95-mkmlizer: quantized model in 31.669s
junhua024-chai-1-full-066126-v95-mkmlizer: Processed model junhua024/chai-1-full-066126 in 113.657s
junhua024-chai-1-full-066126-v95-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v95-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v95-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v95/nvidia
junhua024-chai-1-full-066126-v95-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v95/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v95-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v95/nvidia/config.json
junhua024-chai-1-full-066126-v95-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v95/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v95-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v95/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v95-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v95/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v95-mkmlizer: 
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Job junhua024-chai-1-full-066126-v95-mkmlizer completed after 139.32s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v95-mkmlizer
Pipeline stage MKMLizer completed in 139.83s
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-v95
Waiting for inference service junhua024-chai-1-full-066126-v95 to be ready
Inference service junhua024-chai-1-full-066126-v95 ready after 260.88313388824463s
Pipeline stage MKMLDeployer completed in 261.52s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4104270935058594s
Received healthy response to inference request in 1.3688385486602783s
Received healthy response to inference request in 1.8557469844818115s
Received healthy response to inference request in 1.8830907344818115s
Received healthy response to inference request in 1.7348434925079346s
5 requests
0 failed requests
5th percentile: 1.4420395374298096
10th percentile: 1.515240526199341
20th percentile: 1.6616425037384033
30th percentile: 1.75902419090271
40th percentile: 1.8073855876922607
50th percentile: 1.8557469844818115
60th percentile: 1.8666844844818116
70th percentile: 1.8776219844818116
80th percentile: 1.9885580062866213
90th percentile: 2.1994925498962403
95th percentile: 2.3049598217010496
99th percentile: 2.3893336391448976
mean time: 1.8505893707275392
Pipeline stage StressChecker completed in 11.24s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.73s
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-1-full-066126_v95 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 0.14s
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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 2764.21s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v95 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v95 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v95 status is now torndown due to DeploymentManager action