junhua024-chai-02-full-06

developer_uid: junhua024
submission_id: junhua024-chai-02-full-06_v1
model_name: junhua024-chai-02-full-06_v1
model_group: junhua024/chai_02-full_0
status: torndown
timestamp: 2025-07-15T20:44:00+00:00
num_battles: 5915
num_wins: 2800
celo_rating: 1266.34
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: junhua024/chai_02-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': 0.5908939459786964, 'latency_mean': 1.6921811521053314, 'latency_p50': 1.6959742307662964, 'latency_p90': 1.848625373840332}, {'batch_size': 3, 'throughput': 1.0652415292924804, 'latency_mean': 2.8042964470386504, 'latency_p50': 2.832700252532959, 'latency_p90': 3.089140462875366}, {'batch_size': 5, 'throughput': 1.2801790797383332, 'latency_mean': 3.8948199117183684, 'latency_p50': 3.891363024711609, 'latency_p90': 4.330682849884033}, {'batch_size': 6, 'throughput': 1.3501987524597774, 'latency_mean': 4.4148041319847104, 'latency_p50': 4.385385155677795, 'latency_p90': 4.992030954360962}, {'batch_size': 8, 'throughput': 1.4082127940692284, 'latency_mean': 5.646618812084198, 'latency_p50': 5.634435296058655, 'latency_p90': 6.358502697944641}, {'batch_size': 10, 'throughput': 1.4355329654653701, 'latency_mean': 6.9091409707069396, 'latency_p50': 6.884898543357849, 'latency_p90': 7.871623158454895}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-06_v1
is_internal_developer: False
language_model: junhua024/chai_02-full_06
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-15
win_ratio: 0.47337278106508873
generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.05, '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': '{memory} What nuanced feelings lie behind these words?', '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-02-full-06-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-06-v1-mkmlizer to finish
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junhua024-chai-02-full-06-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-06-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-06-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-06-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-06-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-06-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-06-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-06-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-06-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-06-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-06-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-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-02-full-06-v1-mkmlizer: Downloaded to shared memory in 143.355s
junhua024-chai-02-full-06-v1-mkmlizer: Checking if junhua024/chai_02-full_06 already exists in ChaiML
junhua024-chai-02-full-06-v1-mkmlizer: Creating repo ChaiML/chai_02-full_06 and uploading /tmp/tmpyku4_90y to it
junhua024-chai-02-full-06-v1-mkmlizer: 
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junhua024-chai-02-full-06-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpyku4_90y, device:0
junhua024-chai-02-full-06-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-06-v1-mkmlizer: quantized model in 42.286s
junhua024-chai-02-full-06-v1-mkmlizer: Processed model junhua024/chai_02-full_06 in 278.989s
junhua024-chai-02-full-06-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-06-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-06-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-06-v1/nvidia
junhua024-chai-02-full-06-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-06-v1/nvidia/config.json
junhua024-chai-02-full-06-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-06-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-06-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-06-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-06-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-06-v1/nvidia/tokenizer.json
junhua024-chai-02-full-06-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-06-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-06-v1-mkmlizer: 
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Job junhua024-chai-02-full-06-v1-mkmlizer completed after 314.25s with status: succeeded
Stopping job with name junhua024-chai-02-full-06-v1-mkmlizer
Pipeline stage MKMLizer completed in 315.58s
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-02-full-06-v1
Waiting for inference service junhua024-chai-02-full-06-v1 to be ready
Retrying (%r) after connection broken by '%r': %s
Inference service junhua024-chai-02-full-06-v1 ready after 251.64302134513855s
Pipeline stage MKMLDeployer completed in 252.83s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.8747167587280273s
Received healthy response to inference request in 1.5415558815002441s
Received healthy response to inference request in 1.857635259628296s
Received healthy response to inference request in 1.813124656677246s
Received healthy response to inference request in 1.62803053855896s
5 requests
0 failed requests
5th percentile: 1.5588508129119873
10th percentile: 1.5761457443237306
20th percentile: 1.6107356071472168
30th percentile: 1.6650493621826172
40th percentile: 1.7390870094299316
50th percentile: 1.813124656677246
60th percentile: 1.830928897857666
70th percentile: 1.848733139038086
80th percentile: 2.0610515594482424
90th percentile: 2.467884159088135
95th percentile: 2.671300458908081
99th percentile: 2.834033498764038
mean time: 1.9430126190185546
Pipeline stage StressChecker completed in 11.53s
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 0.71s
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 1.11s
Shutdown handler de-registered
junhua024-chai-02-full-06_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
%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
%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
%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-02-full-06_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-06_v1 status is now torndown due to DeploymentManager action
junhua024-chai-02-full-06_v1 status is now torndown due to DeploymentManager action