developer_uid: junhua024
submission_id: junhua024-chai-1-full-01_v1
model_name: junhua024-chai-1-full-01_v1
model_group: junhua024/chai_1-full_01
status: torndown
timestamp: 2025-06-28T11:37:50+00:00
num_battles: 6379
num_wins: 2775
celo_rating: 1236.66
family_friendly_score: 0.5913999999999999
family_friendly_standard_error: 0.006951921173316049
submission_type: basic
model_repo: junhua024/chai_1-full_01
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': 0.5994426647729691, 'latency_mean': 1.6681172955036163, 'latency_p50': 1.6677755117416382, 'latency_p90': 1.8469415187835694}, {'batch_size': 3, 'throughput': 1.0883120411286749, 'latency_mean': 2.746563527584076, 'latency_p50': 2.743052124977112, 'latency_p90': 3.0261398792266845}, {'batch_size': 5, 'throughput': 1.2895568686457974, 'latency_mean': 3.8613985335826873, 'latency_p50': 3.862069606781006, 'latency_p90': 4.3499431848526005}, {'batch_size': 6, 'throughput': 1.3597932889231985, 'latency_mean': 4.3830128920078275, 'latency_p50': 4.413042783737183, 'latency_p90': 4.895220685005188}, {'batch_size': 8, 'throughput': 1.4188461600730948, 'latency_mean': 5.604786936044693, 'latency_p50': 5.604640364646912, 'latency_p90': 6.345124006271362}, {'batch_size': 10, 'throughput': 1.4532872851133825, 'latency_mean': 6.815635892152787, 'latency_p50': 6.909798502922058, 'latency_p90': 7.5914250135421755}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-01_v1
is_internal_developer: False
language_model: junhua024/chai_1-full_01
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-06-28
win_ratio: 0.43502116319172285
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
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junhua024-chai-1-full-01-v1-mkmlizer: ║ ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ Version: 0.29.3 ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ belonging to: ║
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junhua024-chai-1-full-01-v1-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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junhua024-chai-1-full-01-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-01-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-01-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-01-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-01-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-01-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-01-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`
Job junhua024-chai-1-full-01-v1-mkmlizer completed after 63.41s with status: failed
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junhua024-chai-1-full-01-v1-mkmlizer: ║ ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ Version: 0.29.3 ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ belonging to: ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-1-full-01-v1-mkmlizer: ║ ║
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junhua024-chai-1-full-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-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-01-v1-mkmlizer: Downloaded to shared memory in 491.071s
junhua024-chai-1-full-01-v1-mkmlizer: Checking if junhua024/chai_1-full_01 already exists in ChaiML
junhua024-chai-1-full-01-v1-mkmlizer: Creating repo ChaiML/chai_1-full_01 and uploading /tmp/tmp6u7uzfx8 to it
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junhua024-chai-1-full-01-v1-mkmlizer: quantized model in 31.183s
junhua024-chai-1-full-01-v1-mkmlizer: Processed model junhua024/chai_1-full_01 in 590.858s
junhua024-chai-1-full-01-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-01-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-01-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-01-v1
junhua024-chai-1-full-01-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-01-v1/config.json
junhua024-chai-1-full-01-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-01-v1/special_tokens_map.json
junhua024-chai-1-full-01-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-01-v1/tokenizer_config.json
junhua024-chai-1-full-01-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-01-v1/tokenizer.json
junhua024-chai-1-full-01-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-01-v1/flywheel_model.0.safetensors
Job junhua024-chai-1-full-01-v1-mkmlizer completed after 619.19s with status: succeeded
Stopping job with name junhua024-chai-1-full-01-v1-mkmlizer
Pipeline stage MKMLizer completed in 684.06s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
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Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-01-v1
Waiting for inference service junhua024-chai-1-full-01-v1 to be ready
Inference service junhua024-chai-1-full-01-v1 ready after 150.66257190704346s
Pipeline stage MKMLDeployer completed in 151.56s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1211843490600586s
Received healthy response to inference request in 1.6827428340911865s
Received healthy response to inference request in 1.5481023788452148s
Received healthy response to inference request in 2.1550772190093994s
Received healthy response to inference request in 1.6258814334869385s
5 requests
0 failed requests
5th percentile: 1.5636581897735595
10th percentile: 1.5792140007019042
20th percentile: 1.6103256225585938
30th percentile: 1.637253713607788
40th percentile: 1.6599982738494874
50th percentile: 1.6827428340911865
60th percentile: 1.8581194400787353
70th percentile: 2.033496046066284
80th percentile: 2.127962923049927
90th percentile: 2.141520071029663
95th percentile: 2.148298645019531
99th percentile: 2.153721504211426
mean time: 1.8265976428985595
Pipeline stage StressChecker completed in 10.96s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.74s
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 0.75s
Shutdown handler de-registered
junhua024-chai-1-full-01_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-01-v1-profiler
Waiting for inference service junhua024-chai-1-full-01-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2849.09s
Shutdown handler de-registered
junhua024-chai-1-full-01_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-01_v1 status is now torndown due to DeploymentManager action