junhua024-chai-16-full-12_429

developer_uid: junhua024
submission_id: junhua024-chai-16-full-12_429_v2
model_name: junhua024-chai-16-full-12_429_v2
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T21:14:01+00:00
num_battles: 10650
num_wins: 5104
celo_rating: 1272.97
family_friendly_score: 0.5686
family_friendly_standard_error: 0.007004199311841433
submission_type: basic
model_repo: junhua024/chai_16_full_12_o_ffn_1925
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': 0.5895981533679182, 'latency_mean': 1.6959551560878754, 'latency_p50': 1.6994385719299316, 'latency_p90': 1.869709825515747}, {'batch_size': 3, 'throughput': 1.0535011111100576, 'latency_mean': 2.8346694612503054, 'latency_p50': 2.8311991691589355, 'latency_p90': 3.1117077350616453}, {'batch_size': 5, 'throughput': 1.2607465006581655, 'latency_mean': 3.9493226969242095, 'latency_p50': 3.982983112335205, 'latency_p90': 4.38136203289032}, {'batch_size': 6, 'throughput': 1.3231549607023698, 'latency_mean': 4.516426964998245, 'latency_p50': 4.494240760803223, 'latency_p90': 5.012047243118286}, {'batch_size': 8, 'throughput': 1.3866035038402043, 'latency_mean': 5.721451126337051, 'latency_p50': 5.718042373657227, 'latency_p90': 6.592788982391357}, {'batch_size': 10, 'throughput': 1.4003599014664805, 'latency_mean': 7.079385865926742, 'latency_p50': 7.148048758506775, 'latency_p90': 8.04600658416748}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-12_429_v2
is_internal_developer: False
language_model: junhua024/chai_16_full_12_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.23
us_pacific_date: 2025-07-19
win_ratio: 0.4792488262910798
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-16-full-12-429-v2-mkmlizer
Waiting for job on junhua024-chai-16-full-12-429-v2-mkmlizer to finish
junhua024-chai-16-full-12-429-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-12-429-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-12-429-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-12-429-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-12-429-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-12-429-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-12-429-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-12-429-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-12-429-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-12-429-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-12-429-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-12-429-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-12-429-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-12-429-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-12-429-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-12-429-v2-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-12-429-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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`
Failed to get response for submission junhua024-chai-16-full-_38907_v1: HTTPConnectionPool(host='junhua024-chai-16-full-38907-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-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-16-full-12-429-v2-mkmlizer: Downloaded to shared memory in 148.941s
junhua024-chai-16-full-12-429-v2-mkmlizer: Checking if junhua024/chai_16_full_12_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-12-429-v2-mkmlizer: Creating repo ChaiML/chai_16_full_12_o_ffn_1925 and uploading /tmp/tmpaz1xu1nx to it
Unable to record family friendly update due to error: Invalid JSON input: JSON must contain 'User Safety' and 'Response Safety' fields
junhua024-chai-16-full-12-429-v2-mkmlizer: 
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Failed to get response for submission junhua024-chai-16-full-_38907_v1: HTTPConnectionPool(host='junhua024-chai-16-full-38907-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-12-429-v2-mkmlizer: quantized model in 30.912s
junhua024-chai-16-full-12-429-v2-mkmlizer: Processed model junhua024/chai_16_full_12_o_ffn_1925 in 253.400s
junhua024-chai-16-full-12-429-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-12-429-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-12-429-v2/nvidia
junhua024-chai-16-full-12-429-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-12-429-v2/nvidia/config.json
junhua024-chai-16-full-12-429-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-12-429-v2/nvidia/special_tokens_map.json
junhua024-chai-16-full-12-429-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-12-429-v2/nvidia/tokenizer_config.json
junhua024-chai-16-full-12-429-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-12-429-v2/nvidia/tokenizer.json
junhua024-chai-16-full-12-429-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-12-429-v2/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-16-full-12-429-v2-mkmlizer completed after 285.47s with status: succeeded
Stopping job with name junhua024-chai-16-full-12-429-v2-mkmlizer
Pipeline stage MKMLizer completed in 285.97s
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-16-full-12-429-v2
Waiting for inference service junhua024-chai-16-full-12-429-v2 to be ready
Inference service junhua024-chai-16-full-12-429-v2 ready after 331.2597563266754s
Pipeline stage MKMLDeployer completed in 332.37s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7455570697784424s
Received healthy response to inference request in 1.8463425636291504s
Received healthy response to inference request in 2.0480899810791016s
Received healthy response to inference request in 1.7456142902374268s
Received healthy response to inference request in 2.048370361328125s
5 requests
0 failed requests
5th percentile: 1.7657599449157715
10th percentile: 1.7859055995941162
20th percentile: 1.8261969089508057
30th percentile: 1.8866920471191406
40th percentile: 1.967391014099121
50th percentile: 2.0480899810791016
60th percentile: 2.048202133178711
70th percentile: 2.0483142852783205
80th percentile: 2.187807703018189
90th percentile: 2.4666823863983156
95th percentile: 2.6061197280883786
99th percentile: 2.71766960144043
mean time: 2.086794853210449
Pipeline stage StressChecker completed in 11.88s
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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 0.69s
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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 1.03s
Shutdown handler de-registered
junhua024-chai-16-full-12_429_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Shutdown handler registered
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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
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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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2353.34s
Shutdown handler de-registered
junhua024-chai-16-full-12_429_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-12_429_v2 status is now torndown due to DeploymentManager action