junhua024-chai-1-full-0661

developer_uid: junhua024
submission_id: junhua024-chai-1-full-0661_v1
model_name: junhua024-chai-1-full-0661_v1
model_group: junhua024/chai_1-full_06
status: torndown
timestamp: 2025-06-29T13:09:07+00:00
num_battles: 9229
num_wins: 4029
celo_rating: 1239.76
family_friendly_score: 0.6018
family_friendly_standard_error: 0.006922958327189324
submission_type: basic
model_repo: junhua024/chai_1-full_0661
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': 0.5996182035552681, 'latency_mean': 1.6676247692108155, 'latency_p50': 1.674148678779602, 'latency_p90': 1.8303253173828125}, {'batch_size': 3, 'throughput': 1.0812454696481877, 'latency_mean': 2.759762040376663, 'latency_p50': 2.780566692352295, 'latency_p90': 3.031590533256531}, {'batch_size': 5, 'throughput': 1.290514749329864, 'latency_mean': 3.8489440071582792, 'latency_p50': 3.8388595581054688, 'latency_p90': 4.294238662719726}, {'batch_size': 6, 'throughput': 1.3681314694835816, 'latency_mean': 4.358121583461761, 'latency_p50': 4.350739240646362, 'latency_p90': 4.9304667711257935}, {'batch_size': 8, 'throughput': 1.4374693692390217, 'latency_mean': 5.532457948923111, 'latency_p50': 5.526200652122498, 'latency_p90': 6.228950548171997}, {'batch_size': 10, 'throughput': 1.4545441127821004, 'latency_mean': 6.818803488016129, 'latency_p50': 6.809040427207947, 'latency_p90': 7.693079805374145}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-0661_v1
is_internal_developer: False
language_model: junhua024/chai_1-full_0661
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-06-29
win_ratio: 0.43655867374580126
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': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
Failed to get response for submission junhua024-chai-1-full-002_v30: HTTPConnectionPool(host='junhua024-chai-1-full-002-v30-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name junhua024-chai-1-full-0661-v1-mkmlizer
Waiting for job on junhua024-chai-1-full-0661-v1-mkmlizer to finish
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junhua024-chai-1-full-0661-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-0661-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-0661-v1-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-0661-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-0661-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-0661-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-0661-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-0661-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-0661-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-0661-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-0661-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-0661-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-0661-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-0661-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-0661-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-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-0661-v1-mkmlizer: Downloaded to shared memory in 122.562s
junhua024-chai-1-full-0661-v1-mkmlizer: Checking if junhua024/chai_1-full_0661 already exists in ChaiML
junhua024-chai-1-full-0661-v1-mkmlizer: Creating repo ChaiML/chai_1-full_0661 and uploading /tmp/tmpzpnnv6ya to it
junhua024-chai-1-full-0661-v1-mkmlizer: 
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junhua024-chai-1-full-0661-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpzpnnv6ya, device:0
junhua024-chai-1-full-0661-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-0661-v1-mkmlizer: quantized model in 31.813s
junhua024-chai-1-full-0661-v1-mkmlizer: Processed model junhua024/chai_1-full_0661 in 224.202s
junhua024-chai-1-full-0661-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-0661-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-0661-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-0661-v1
junhua024-chai-1-full-0661-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-0661-v1/config.json
junhua024-chai-1-full-0661-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-0661-v1/special_tokens_map.json
junhua024-chai-1-full-0661-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-0661-v1/tokenizer_config.json
junhua024-chai-1-full-0661-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-0661-v1/tokenizer.json
junhua024-chai-1-full-0661-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-0661-v1/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-0661-v1-mkmlizer completed after 249.39s with status: succeeded
Stopping job with name junhua024-chai-1-full-0661-v1-mkmlizer
Pipeline stage MKMLizer completed in 249.89s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-0661-v1
Waiting for inference service junhua024-chai-1-full-0661-v1 to be ready
Inference service junhua024-chai-1-full-0661-v1 ready after 181.14714360237122s
Pipeline stage MKMLDeployer completed in 182.15s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5994675159454346s
Received healthy response to inference request in 1.784651279449463s
Received healthy response to inference request in 1.7140815258026123s
Received healthy response to inference request in 1.6653501987457275s
Received healthy response to inference request in 1.7850711345672607s
5 requests
0 failed requests
5th percentile: 1.6750964641571044
10th percentile: 1.6848427295684814
20th percentile: 1.7043352603912354
30th percentile: 1.7281954765319825
40th percentile: 1.7564233779907226
50th percentile: 1.784651279449463
60th percentile: 1.7848192214965821
70th percentile: 1.7849871635437011
80th percentile: 1.9479504108428958
90th percentile: 2.273708963394165
95th percentile: 2.4365882396697995
99th percentile: 2.5668916606903074
mean time: 1.9097243309020997
Pipeline stage StressChecker completed in 11.41s
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
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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 0.69s
Shutdown handler de-registered
junhua024-chai-1-full-0661_v1 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 0.15s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-0661-v1-profiler
Waiting for inference service junhua024-chai-1-full-0661-v1-profiler to be ready
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
Pipeline stage OfflineFamilyFriendlyScorer completed in 4467.82s
Shutdown handler de-registered
junhua024-chai-1-full-0661_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-0661_v1 status is now torndown due to DeploymentManager action