junhua024-chai-1-full_94469

developer_uid: junhua024
submission_id: junhua024-chai-1-full_94469_v114
model_name: junhua024-chai-1-full_94469_v114
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-16T12:30:14+00:00
num_battles: 11337
num_wins: 5387
celo_rating: 1273.27
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
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': 0.5992121408621466, 'latency_mean': 1.66874507188797, 'latency_p50': 1.661161184310913, 'latency_p90': 1.8553523063659667}, {'batch_size': 3, 'throughput': 1.0886781114418265, 'latency_mean': 2.7551373445987704, 'latency_p50': 2.7610208988189697, 'latency_p90': 3.0045284986495973}, {'batch_size': 5, 'throughput': 1.3136654308405546, 'latency_mean': 3.790313435792923, 'latency_p50': 3.802321434020996, 'latency_p90': 4.17038106918335}, {'batch_size': 6, 'throughput': 1.3700536498164373, 'latency_mean': 4.349724909067154, 'latency_p50': 4.321557521820068, 'latency_p90': 4.90876030921936}, {'batch_size': 8, 'throughput': 1.4264210741682852, 'latency_mean': 5.560795933008194, 'latency_p50': 5.591258525848389, 'latency_p90': 6.222406125068664}, {'batch_size': 10, 'throughput': 1.4620692969850255, 'latency_mean': 6.790220726728439, 'latency_p50': 6.756641745567322, 'latency_p90': 7.655968523025512}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full_94469_v114
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-07-16
win_ratio: 0.4751697980065273
generation_params: {'temperature': 1.0, 'top_p': 0.875, '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': True}
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-94469-v114-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v114-mkmlizer to finish
junhua024-chai-1-full-94469-v114-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-94469-v114-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-94469-v114-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-94469-v114-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v114-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-94469-v114-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-94469-v114-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-94469-v114-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-94469-v114-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v114-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-94469-v114-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-94469-v114-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v114-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-94469-v114-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-94469-v114-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-94469-v114-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v114-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-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-94469-v114-mkmlizer: Downloaded to shared memory in 73.805s
junhua024-chai-1-full-94469-v114-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-94469-v114-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpcz93ldof, device:0
junhua024-chai-1-full-94469-v114-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-94469-v114-mkmlizer: quantized model in 31.602s
junhua024-chai-1-full-94469-v114-mkmlizer: Processed model junhua024/chai-1-full-066126 in 105.563s
junhua024-chai-1-full-94469-v114-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v114-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v114-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v114/nvidia
junhua024-chai-1-full-94469-v114-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v114/nvidia/config.json
junhua024-chai-1-full-94469-v114-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v114/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v114-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v114/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v114-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v114/nvidia/tokenizer.json
junhua024-chai-1-full-94469-v114-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v114/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-94469-v114-mkmlizer: 
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Job junhua024-chai-1-full-94469-v114-mkmlizer completed after 129.58s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v114-mkmlizer
Pipeline stage MKMLizer completed in 130.27s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-94469-v114
Waiting for inference service junhua024-chai-1-full-94469-v114 to be ready
Inference service junhua024-chai-1-full-94469-v114 ready after 271.33559799194336s
Pipeline stage MKMLDeployer completed in 272.12s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3323075771331787s
Received healthy response to inference request in 2.110891580581665s
Received healthy response to inference request in 1.9120285511016846s
Received healthy response to inference request in 2.27915358543396s
Received healthy response to inference request in 1.8750171661376953s
5 requests
0 failed requests
5th percentile: 1.8824194431304933
10th percentile: 1.889821720123291
20th percentile: 1.9046262741088866
30th percentile: 1.9518011569976808
40th percentile: 2.0313463687896727
50th percentile: 2.110891580581665
60th percentile: 2.178196382522583
70th percentile: 2.245501184463501
80th percentile: 2.289784383773804
90th percentile: 2.3110459804534913
95th percentile: 2.321676778793335
99th percentile: 2.33018141746521
mean time: 2.101879692077637
Pipeline stage StressChecker completed in 12.88s
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 0.84s
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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 0.95s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v114 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 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-94469-v114-profiler
Waiting for inference service junhua024-chai-1-full-94469-v114-profiler to be ready
Shutdown handler registered
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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...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
Received signal 15, running shutdown handler
Shutdown handler registered
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run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2630.23s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v114 status is now torndown due to DeploymentManager action
junhua024-chai-1-full_94469_v114 status is now torndown due to DeploymentManager action