junhua024-chai-06-full-02102

developer_uid: junhua024
submission_id: junhua024-chai-06-full-02102_v1
model_name: junhua024-chai-06-full-02102_v1
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-16T21:56:24+00:00
num_battles: 12094
num_wins: 5887
celo_rating: 1273.75
family_friendly_score: 0.5564
family_friendly_standard_error: 0.007025938229161996
submission_type: basic
model_repo: junhua024/chai_06_full_02102
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': 0.18897235102947638, 'latency_mean': 5.291670092344284, 'latency_p50': 4.747101426124573, 'latency_p90': 8.146559381484984}, {'batch_size': 2, 'throughput': 0.5232672214238747, 'latency_mean': 3.81908371090889, 'latency_p50': 3.720260977745056, 'latency_p90': 5.991336131095886}, {'batch_size': 3, 'throughput': 1.07206437156749, 'latency_mean': 2.7821204364299774, 'latency_p50': 2.7833441495895386, 'latency_p90': 3.076618981361389}, {'batch_size': 4, 'throughput': 1.211432537581992, 'latency_mean': 3.2876921021938323, 'latency_p50': 3.284440755844116, 'latency_p90': 3.7080565452575684}, {'batch_size': 5, 'throughput': 0.8777206925977872, 'latency_mean': 5.671068263053894, 'latency_p50': 5.614432692527771, 'latency_p90': 6.40669047832489}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-02102_v1
is_internal_developer: False
language_model: junhua024/chai_06_full_02102
model_size: 13B
ranking_group: single
throughput_3p7s: 0.27
us_pacific_date: 2025-07-16
win_ratio: 0.48677029932197785
generation_params: {'temperature': 1.0, 'top_p': 0.88, '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': 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-06-full-02102-v1-mkmlizer
Waiting for job on junhua024-chai-06-full-02102-v1-mkmlizer to finish
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junhua024-chai-06-full-02102-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-02102-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-02102-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02102-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-02102-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-02102-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-02102-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-02102-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02102-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-02102-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-02102-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02102-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-02102-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-02102-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-02102-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02102-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-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-06-full-02102-v1-mkmlizer: Downloaded to shared memory in 133.404s
junhua024-chai-06-full-02102-v1-mkmlizer: Checking if junhua024/chai_06_full_02102 already exists in ChaiML
junhua024-chai-06-full-02102-v1-mkmlizer: Creating repo ChaiML/chai_06_full_02102 and uploading /tmp/tmpnf16_ih9 to it
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Retrying (%r) after connection broken by '%r': %s
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junhua024-chai-06-full-02102-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnf16_ih9, device:0
junhua024-chai-06-full-02102-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-02102-v1-mkmlizer: quantized model in 31.663s
junhua024-chai-06-full-02102-v1-mkmlizer: Processed model junhua024/chai_06_full_02102 in 275.266s
junhua024-chai-06-full-02102-v1-mkmlizer: creating bucket guanaco-mkml-models
Failed to get response for submission junhua024-chai-06-full-02098_v1: HTTPConnectionPool(host='junhua024-chai-06-full-02098-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-02102-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-02102-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-02102-v1/nvidia
junhua024-chai-06-full-02102-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-02102-v1/nvidia/special_tokens_map.json
junhua024-chai-06-full-02102-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-02102-v1/nvidia/config.json
junhua024-chai-06-full-02102-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-02102-v1/nvidia/tokenizer_config.json
junhua024-chai-06-full-02102-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-02102-v1/nvidia/tokenizer.json
junhua024-chai-06-full-02102-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-02102-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-02102-v1-mkmlizer completed after 305.07s with status: succeeded
Stopping job with name junhua024-chai-06-full-02102-v1-mkmlizer
Pipeline stage MKMLizer completed in 305.77s
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-06-full-02102-v1
Waiting for inference service junhua024-chai-06-full-02102-v1 to be ready
Failed to get response for submission junhua024-chai-06-full-02098_v2: HTTPConnectionPool(host='junhua024-chai-06-full-02098-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-02102-v1 ready after 272.25388956069946s
Pipeline stage MKMLDeployer completed in 272.81s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.44633150100708s
Received healthy response to inference request in 1.5998058319091797s
Received healthy response to inference request in 1.5746996402740479s
Received healthy response to inference request in 1.5728912353515625s
Received healthy response to inference request in 1.5597634315490723s
5 requests
0 failed requests
5th percentile: 1.5623889923095704
10th percentile: 1.5650145530700683
20th percentile: 1.5702656745910644
30th percentile: 1.5732529163360596
40th percentile: 1.5739762783050537
50th percentile: 1.5746996402740479
60th percentile: 1.5847421169281006
70th percentile: 1.5947845935821534
80th percentile: 1.76911096572876
90th percentile: 2.10772123336792
95th percentile: 2.2770263671874997
99th percentile: 2.412470474243164
mean time: 1.7506983280181885
Pipeline stage StressChecker completed in 10.38s
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 0.94s
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 0.88s
Shutdown handler de-registered
junhua024-chai-06-full-02102_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
Pipeline stage OfflineFamilyFriendlyScorer completed in 8797.88s
Shutdown handler de-registered
junhua024-chai-06-full-02102_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-02102_v1 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-02102_v1 status is now torndown due to DeploymentManager action