junhua024-chai-1-full-06

developer_uid: junhua024
submission_id: junhua024-chai-1-full-06_v1
model_name: junhua024-chai-1-full-06_v1
model_group: junhua024/chai_1-full_06
status: torndown
timestamp: 2025-06-29T02:50:09+00:00
num_battles: 6812
num_wins: 3175
celo_rating: 1248.3
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: junhua024/chai_1-full_06
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': 0.6019468323759287, 'latency_mean': 1.661170516014099, 'latency_p50': 1.6557376384735107, 'latency_p90': 1.8414915084838868}, {'batch_size': 3, 'throughput': 1.0823632598751916, 'latency_mean': 2.7578498315811157, 'latency_p50': 2.7541301250457764, 'latency_p90': 3.093883514404297}, {'batch_size': 5, 'throughput': 1.3059081366128742, 'latency_mean': 3.8021155834197997, 'latency_p50': 3.807787299156189, 'latency_p90': 4.315292286872864}, {'batch_size': 6, 'throughput': 1.3675564294146112, 'latency_mean': 4.35789439201355, 'latency_p50': 4.347614884376526, 'latency_p90': 4.876869654655456}, {'batch_size': 8, 'throughput': 1.4331241405060315, 'latency_mean': 5.551499593257904, 'latency_p50': 5.562157154083252, 'latency_p90': 6.274147939682007}, {'batch_size': 10, 'throughput': 1.4593418605166186, 'latency_mean': 6.796850965023041, 'latency_p50': 6.828171372413635, 'latency_p90': 7.5937096118927006}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-06_v1
is_internal_developer: False
language_model: junhua024/chai_1-full_06
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-06-28
win_ratio: 0.46608925425719316
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-06-v1-mkmlizer
Waiting for job on junhua024-chai-1-full-06-v1-mkmlizer to finish
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junhua024-chai-1-full-06-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-06-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-06-v1-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-06-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-06-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-06-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-06-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-06-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-06-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-06-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-06-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-06-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-06-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-06-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-06-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-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-06-v1-mkmlizer: Downloaded to shared memory in 208.594s
junhua024-chai-1-full-06-v1-mkmlizer: Checking if junhua024/chai_1-full_06 already exists in ChaiML
junhua024-chai-1-full-06-v1-mkmlizer: Creating repo ChaiML/chai_1-full_06 and uploading /tmp/tmpqii6h_b6 to it
junhua024-chai-1-full-06-v1-mkmlizer: 
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junhua024-chai-1-full-06-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqii6h_b6, device:0
junhua024-chai-1-full-06-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-06-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-06-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-06-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-06-v1
junhua024-chai-1-full-06-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-06-v1/special_tokens_map.json
junhua024-chai-1-full-06-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-06-v1/config.json
junhua024-chai-1-full-06-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-06-v1/tokenizer_config.json
junhua024-chai-1-full-06-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-06-v1/tokenizer.json
junhua024-chai-1-full-06-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-06-v1/flywheel_model.0.safetensors
junhua024-chai-1-full-06-v1-mkmlizer: 
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Job junhua024-chai-1-full-06-v1-mkmlizer completed after 383.05s with status: succeeded
Stopping job with name junhua024-chai-1-full-06-v1-mkmlizer
Pipeline stage MKMLizer completed in 383.85s
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-1-full-06-v1
Waiting for inference service junhua024-chai-1-full-06-v1 to be ready
Inference service junhua024-chai-1-full-06-v1 ready after 171.09946942329407s
Pipeline stage MKMLDeployer completed in 171.72s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1883084774017334s
Received healthy response to inference request in 1.6732234954833984s
Received healthy response to inference request in 1.7836520671844482s
Received healthy response to inference request in 1.5577194690704346s
Received healthy response to inference request in 1.4895234107971191s
5 requests
0 failed requests
5th percentile: 1.5031626224517822
10th percentile: 1.5168018341064453
20th percentile: 1.5440802574157715
30th percentile: 1.5808202743530273
40th percentile: 1.627021884918213
50th percentile: 1.6732234954833984
60th percentile: 1.7173949241638184
70th percentile: 1.7615663528442382
80th percentile: 1.8645833492279054
90th percentile: 2.026445913314819
95th percentile: 2.1073771953582763
99th percentile: 2.172122220993042
mean time: 1.7384853839874268
Pipeline stage StressChecker completed in 10.78s
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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 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 0.71s
Shutdown handler de-registered
junhua024-chai-1-full-06_v1 status is now deployed due to DeploymentManager action
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...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
Shutdown handler registered
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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
junhua024-chai-1-full-06_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-06_v1 status is now torndown due to DeploymentManager action