junhua024-chai-1-full-02

developer_uid: junhua024
submission_id: junhua024-chai-1-full-02_v1
model_name: junhua024-chai-1-full-02_v1
model_group: junhua024/chai_1-full_02
status: torndown
timestamp: 2025-06-28T13:10:53+00:00
num_battles: 6642
num_wins: 991
celo_rating: 983.9
family_friendly_score: 0.8568
family_friendly_standard_error: 0.004953660464747256
submission_type: basic
model_repo: junhua024/chai_1-full_02
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': 0.594756985576886, 'latency_mean': 1.6811798632144928, 'latency_p50': 1.6742022037506104, 'latency_p90': 1.8594103813171388}, {'batch_size': 3, 'throughput': 1.055900730572948, 'latency_mean': 2.8299041163921355, 'latency_p50': 2.8405051231384277, 'latency_p90': 3.1427371740341186}, {'batch_size': 5, 'throughput': 1.2766206408581415, 'latency_mean': 3.894674080610275, 'latency_p50': 3.9032808542251587, 'latency_p90': 4.399493551254272}, {'batch_size': 6, 'throughput': 1.3316098500708682, 'latency_mean': 4.491205310821533, 'latency_p50': 4.474804520606995, 'latency_p90': 4.998544907569885}, {'batch_size': 8, 'throughput': 1.3916475838988906, 'latency_mean': 5.702462871074676, 'latency_p50': 5.7238956689834595, 'latency_p90': 6.34827151298523}, {'batch_size': 10, 'throughput': 1.4195908632223155, 'latency_mean': 6.988700910806656, 'latency_p50': 7.030200004577637, 'latency_p90': 7.8181068897247314}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-02_v1
is_internal_developer: False
language_model: junhua024/chai_1-full_02
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-06-28
win_ratio: 0.1492020475760313
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, '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-1-full-02-v1-mkmlizer
Waiting for job on junhua024-chai-1-full-02-v1-mkmlizer to finish
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junhua024-chai-1-full-02-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-02-v1-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-02-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-02-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-02-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-02-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-02-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-02-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-02-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-02-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-02-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-02-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-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-02-v1-mkmlizer: Downloaded to shared memory in 126.579s
junhua024-chai-1-full-02-v1-mkmlizer: Checking if junhua024/chai_1-full_02 already exists in ChaiML
junhua024-chai-1-full-02-v1-mkmlizer: Creating repo ChaiML/chai_1-full_02 and uploading /tmp/tmpu3hy3n28 to it
junhua024-chai-1-full-02-v1-mkmlizer: 
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junhua024-chai-1-full-02-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpu3hy3n28, device:0
junhua024-chai-1-full-02-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-02-v1-mkmlizer: quantized model in 30.663s
junhua024-chai-1-full-02-v1-mkmlizer: Processed model junhua024/chai_1-full_02 in 259.970s
junhua024-chai-1-full-02-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-02-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-02-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-02-v1
junhua024-chai-1-full-02-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-02-v1/config.json
junhua024-chai-1-full-02-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-02-v1/special_tokens_map.json
junhua024-chai-1-full-02-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-02-v1/tokenizer_config.json
junhua024-chai-1-full-02-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-02-v1/tokenizer.json
junhua024-chai-1-full-02-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-02-v1/flywheel_model.0.safetensors
junhua024-chai-1-full-02-v1-mkmlizer: 
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Job junhua024-chai-1-full-02-v1-mkmlizer completed after 291.68s with status: succeeded
Stopping job with name junhua024-chai-1-full-02-v1-mkmlizer
Pipeline stage MKMLizer completed in 292.24s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-02-v1
Waiting for inference service junhua024-chai-1-full-02-v1 to be ready
Inference service junhua024-chai-1-full-02-v1 ready after 160.53838896751404s
Pipeline stage MKMLDeployer completed in 161.14s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5458624362945557s
Received healthy response to inference request in 1.524362325668335s
Received healthy response to inference request in 1.8880531787872314s
Received healthy response to inference request in 1.5815424919128418s
Received healthy response to inference request in 1.5546953678131104s
5 requests
0 failed requests
5th percentile: 1.53042893409729
10th percentile: 1.5364955425262452
20th percentile: 1.5486287593841552
30th percentile: 1.5600647926330566
40th percentile: 1.5708036422729492
50th percentile: 1.5815424919128418
60th percentile: 1.7041467666625976
70th percentile: 1.8267510414123536
80th percentile: 2.0196150302886964
90th percentile: 2.282738733291626
95th percentile: 2.4143005847930907
99th percentile: 2.5195500659942627
mean time: 1.8189031600952148
Pipeline stage StressChecker completed in 11.51s
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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 1.48s
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 0.87s
Shutdown handler de-registered
junhua024-chai-1-full-02_v1 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5619.50s
Shutdown handler de-registered
junhua024-chai-1-full-02_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-02_v1 status is now torndown due to DeploymentManager action