junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v89
model_name: junhua024-chai-1-full-066126_v89
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-16T02:35:30+00:00
num_battles: 8349
num_wins: 4004
celo_rating: 1272.7
family_friendly_score: 0.5589999999999999
family_friendly_standard_error: 0.007021666468866205
submission_type: basic
model_repo: junhua024/chai-1-full-066126
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': 0.5980509048672807, 'latency_mean': 1.6719167530536652, 'latency_p50': 1.6709256172180176, 'latency_p90': 1.853337812423706}, {'batch_size': 3, 'throughput': 1.0776554312568571, 'latency_mean': 2.7769317722320555, 'latency_p50': 2.767625331878662, 'latency_p90': 3.0481082439422607}, {'batch_size': 5, 'throughput': 1.2966352890428092, 'latency_mean': 3.8411986696720124, 'latency_p50': 3.86665141582489, 'latency_p90': 4.289974308013916}, {'batch_size': 6, 'throughput': 1.366342941567963, 'latency_mean': 4.373694595098495, 'latency_p50': 4.377408862113953, 'latency_p90': 4.845429515838623}, {'batch_size': 8, 'throughput': 1.4197044674876589, 'latency_mean': 5.591849520206451, 'latency_p50': 5.620177507400513, 'latency_p90': 6.203170442581177}, {'batch_size': 10, 'throughput': 1.4524550203794295, 'latency_mean': 6.837912737131119, 'latency_p50': 6.853585481643677, 'latency_p90': 7.627460241317749}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v89
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-15
win_ratio: 0.4795783926218709
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': '{memory} What nuanced feelings lie behind these words? Speak with a deeply empathetic approach.', '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-066126-v89-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v89-mkmlizer to finish
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junhua024-chai-1-full-066126-v89-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v89-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v89-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v89-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v89-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v89-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v89-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v89-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v89-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v89-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v89-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v89-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v89-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v89-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v89-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v89-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-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-066126-v89-mkmlizer: Downloaded to shared memory in 79.672s
junhua024-chai-1-full-066126-v89-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v89-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvewo3ds3, device:0
junhua024-chai-1-full-066126-v89-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v89-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v89-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v89-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v89/nvidia
junhua024-chai-1-full-066126-v89-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v89/nvidia/config.json
junhua024-chai-1-full-066126-v89-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v89/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v89-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v89/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v89-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v89/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v89-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v89/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v89-mkmlizer: 
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Job junhua024-chai-1-full-066126-v89-mkmlizer completed after 140.16s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v89-mkmlizer
Pipeline stage MKMLizer completed in 140.85s
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-066126-v89
Waiting for inference service junhua024-chai-1-full-066126-v89 to be ready
Inference service junhua024-chai-1-full-066126-v89 ready after 271.3823697566986s
Pipeline stage MKMLDeployer completed in 272.20s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.786911964416504s
Received healthy response to inference request in 1.9671382904052734s
Received healthy response to inference request in 2.122058153152466s
Received healthy response to inference request in 1.7252647876739502s
5 requests
1 failed requests
5th percentile: 1.7736394882202149
10th percentile: 1.8220141887664796
20th percentile: 1.9187635898590087
30th percentile: 1.998122262954712
40th percentile: 2.060090208053589
50th percentile: 2.122058153152466
60th percentile: 2.387999677658081
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90th percentile: 13.182631826400758
95th percentile: 16.647871780395505
99th percentile: 19.420063743591307
mean time: 5.742896986007691
%s, retrying in %s seconds...
Received healthy response to inference request in 1.6669459342956543s
Received healthy response to inference request in 2.1307854652404785s
Received healthy response to inference request in 1.6284234523773193s
Received healthy response to inference request in 2.0625782012939453s
Received healthy response to inference request in 1.5020349025726318s
5 requests
0 failed requests
5th percentile: 1.5273126125335694
10th percentile: 1.5525903224945068
20th percentile: 1.6031457424163817
30th percentile: 1.6361279487609863
40th percentile: 1.6515369415283203
50th percentile: 1.6669459342956543
60th percentile: 1.8251988410949707
70th percentile: 1.983451747894287
80th percentile: 2.076219654083252
90th percentile: 2.103502559661865
95th percentile: 2.117144012451172
99th percentile: 2.1280571746826173
mean time: 1.7981535911560058
Pipeline stage StressChecker completed in 40.99s
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 0.70s
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 0.92s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v89 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 3855.75s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v89 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v89 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v89 status is now torndown due to DeploymentManager action