junhua024-chai-1-full_94469

developer_uid: junhua024
submission_id: junhua024-chai-1-full_94469_v108
model_name: junhua024-chai-1-full_94469_v108
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-16T07:40:39+00:00
num_battles: 8304
num_wins: 3986
celo_rating: 1278.99
family_friendly_score: 0.5492
family_friendly_standard_error: 0.007036751523252757
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': 0.5883980057570249, 'latency_mean': 1.6993353760242462, 'latency_p50': 1.7174770832061768, 'latency_p90': 1.8675641775131224}, {'batch_size': 3, 'throughput': 1.0666418720498874, 'latency_mean': 2.803539094924927, 'latency_p50': 2.8008899688720703, 'latency_p90': 3.1029098987579347}, {'batch_size': 5, 'throughput': 1.2721321182996514, 'latency_mean': 3.9176338505744934, 'latency_p50': 3.9304805994033813, 'latency_p90': 4.365972995758057}, {'batch_size': 6, 'throughput': 1.3374703644155403, 'latency_mean': 4.46739841580391, 'latency_p50': 4.524987697601318, 'latency_p90': 5.010734415054321}, {'batch_size': 8, 'throughput': 1.3912313033093369, 'latency_mean': 5.718398767709732, 'latency_p50': 5.7660071849823, 'latency_p90': 6.467645502090454}, {'batch_size': 10, 'throughput': 1.4183570559239735, 'latency_mean': 6.9851765632629395, 'latency_p50': 6.994434595108032, 'latency_p90': 7.781080508232117}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full_94469_v108
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-16
win_ratio: 0.480009633911368
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': True}
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-94469-v108-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v108-mkmlizer to finish
junhua024-chai-1-full-94469-v108-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-94469-v108-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-94469-v108-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-94469-v108-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v108-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-94469-v108-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-94469-v108-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-94469-v108-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-94469-v108-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v108-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-94469-v108-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-94469-v108-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v108-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-94469-v108-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-94469-v108-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-94469-v108-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v108-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-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-94469-v108-mkmlizer: Downloaded to shared memory in 77.543s
junhua024-chai-1-full-94469-v108-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-94469-v108-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpu541k2uv, device:0
junhua024-chai-1-full-94469-v108-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission junhua024-chai-1-full_94469_v102: HTTPConnectionPool(host='junhua024-chai-1-full-94469-v102-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-94469-v108-mkmlizer: quantized model in 31.072s
junhua024-chai-1-full-94469-v108-mkmlizer: Processed model junhua024/chai-1-full-066126 in 108.699s
junhua024-chai-1-full-94469-v108-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v108-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v108-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v108/nvidia
junhua024-chai-1-full-94469-v108-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v108/nvidia/config.json
junhua024-chai-1-full-94469-v108-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v108/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v108-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v108/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v108-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v108/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-94469-v108-mkmlizer: 
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Job junhua024-chai-1-full-94469-v108-mkmlizer completed after 129.23s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v108-mkmlizer
Pipeline stage MKMLizer completed in 129.76s
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-94469-v108
Waiting for inference service junhua024-chai-1-full-94469-v108 to be ready
Failed to get response for submission junhua024-chai-1-full_94469_v102: HTTPConnectionPool(host='junhua024-chai-1-full-94469-v102-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-1-full_94469_v103: HTTPConnectionPool(host='junhua024-chai-1-full-94469-v103-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-1-full_94469_v102: HTTPConnectionPool(host='junhua024-chai-1-full-94469-v102-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Unable to record family friendly update due to error: Invalid JSON input: JSON must contain 'User Safety' and 'Response Safety' fields
Inference service junhua024-chai-1-full-94469-v108 ready after 271.672479391098s
Pipeline stage MKMLDeployer completed in 272.27s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.234161615371704s
Received healthy response to inference request in 2.094010591506958s
Received healthy response to inference request in 1.5235843658447266s
Received healthy response to inference request in 1.525627851486206s
Received healthy response to inference request in 1.9013299942016602s
5 requests
0 failed requests
5th percentile: 1.5239930629730225
10th percentile: 1.5244017601013184
20th percentile: 1.5252191543579101
30th percentile: 1.6007682800292968
40th percentile: 1.7510491371154786
50th percentile: 1.9013299942016602
60th percentile: 1.9784022331237794
70th percentile: 2.0554744720458986
80th percentile: 2.122040796279907
90th percentile: 2.1781012058258056
95th percentile: 2.206131410598755
99th percentile: 2.2285555744171144
mean time: 1.855742883682251
Pipeline stage StressChecker completed in 10.86s
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 0.72s
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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 0.68s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v108 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 0.17s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-94469-v108-profiler
Waiting for inference service junhua024-chai-1-full-94469-v108-profiler to be ready
Shutdown handler registered
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run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2986.34s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v108 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full_94469_v108 status is now torndown due to DeploymentManager action
junhua024-chai-1-full_94469_v108 status is now torndown due to DeploymentManager action