developer_uid: RandomForest1024
submission_id: albertwang8192-2025-07-11-7_v7
model_name: 2025-07-11_7_v7
model_group: AlbertWang8192/2025-07-1
status: torndown
timestamp: 2025-07-12T14:34:51+00:00
num_battles: 9736
num_wins: 4631
celo_rating: 1269.99
family_friendly_score: 0.5442
family_friendly_standard_error: 0.00704338498166897
submission_type: basic
model_repo: AlbertWang8192/2025-07-11_7
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': 0.5879417432305232, 'latency_mean': 1.7007421672344207, 'latency_p50': 1.6975908279418945, 'latency_p90': 1.8904544353485107}, {'batch_size': 3, 'throughput': 1.0460393584783376, 'latency_mean': 2.862703021764755, 'latency_p50': 2.8790112733840942, 'latency_p90': 3.2118385791778565}, {'batch_size': 5, 'throughput': 1.252033674046835, 'latency_mean': 3.967882624864578, 'latency_p50': 3.93503201007843, 'latency_p90': 4.355292105674744}, {'batch_size': 6, 'throughput': 1.3097036924451948, 'latency_mean': 4.559498649835587, 'latency_p50': 4.557660222053528, 'latency_p90': 5.084232354164123}, {'batch_size': 8, 'throughput': 1.3650668453570431, 'latency_mean': 5.812114127874374, 'latency_p50': 5.791363716125488, 'latency_p90': 6.585360813140869}, {'batch_size': 10, 'throughput': 1.4155797274393829, 'latency_mean': 7.022383964061737, 'latency_p50': 6.962036728858948, 'latency_p90': 7.91888656616211}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: 2025-07-11_7_v7
is_internal_developer: False
language_model: AlbertWang8192/2025-07-11_7
model_size: 13B
ranking_group: single
throughput_3p7s: 1.22
us_pacific_date: 2025-07-12
win_ratio: 0.4756573541495481
generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.3, 'frequency_penalty': 0.3, 'stopping_words': ['<|im_start|>', '\n', '<|im_end|>'], '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 albertwang8192-2025-07-11-7-v7-mkmlizer
Waiting for job on albertwang8192-2025-07-11-7-v7-mkmlizer to finish
albertwang8192-2025-07-11-7-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
albertwang8192-2025-07-11-7-v7-mkmlizer: ║                                                                     ║
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albertwang8192-2025-07-11-7-v7-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
albertwang8192-2025-07-11-7-v7-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v7-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-11-7-v7-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-11-7-v7-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-11-7-v7-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-11-7-v7-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-11-7-v7-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-11-7-v7-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v7-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-11-7-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-11-7-v7-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-11-7-v7-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-11-7-v7-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`
albertwang8192-2025-07-11-7-v7-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`
albertwang8192-2025-07-11-7-v7-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`
albertwang8192-2025-07-11-7-v7-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`
albertwang8192-2025-07-11-7-v7-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`
albertwang8192-2025-07-11-7-v7-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`
albertwang8192-2025-07-11-7-v7-mkmlizer: Downloaded to shared memory in 30.789s
albertwang8192-2025-07-11-7-v7-mkmlizer: Checking if AlbertWang8192/2025-07-11_7 already exists in ChaiML
albertwang8192-2025-07-11-7-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmplgi7cbvn, device:0
albertwang8192-2025-07-11-7-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-11-7-v7-mkmlizer: quantized model in 30.242s
albertwang8192-2025-07-11-7-v7-mkmlizer: Processed model AlbertWang8192/2025-07-11_7 in 61.118s
albertwang8192-2025-07-11-7-v7-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-11-7-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-11-7-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v7/nvidia
albertwang8192-2025-07-11-7-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v7/nvidia/config.json
albertwang8192-2025-07-11-7-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v7/nvidia/special_tokens_map.json
albertwang8192-2025-07-11-7-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v7/nvidia/tokenizer_config.json
albertwang8192-2025-07-11-7-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v7/nvidia/tokenizer.json
albertwang8192-2025-07-11-7-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v7/nvidia/flywheel_model.0.safetensors
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Job albertwang8192-2025-07-11-7-v7-mkmlizer completed after 87.43s with status: succeeded
Stopping job with name albertwang8192-2025-07-11-7-v7-mkmlizer
Pipeline stage MKMLizer completed in 88.01s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
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Running pipeline stage MKMLDeployer
Creating inference service albertwang8192-2025-07-11-7-v7
Waiting for inference service albertwang8192-2025-07-11-7-v7 to be ready
Failed to get response for submission albertwang8192-2025-07-11-7_v3: HTTPConnectionPool(host='albertwang8192-2025-07-11-7-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service albertwang8192-2025-07-11-7-v7 ready after 201.09397339820862s
Pipeline stage MKMLDeployer completed in 201.67s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.464829683303833s
Received healthy response to inference request in 1.8900411128997803s
Received healthy response to inference request in 1.4762647151947021s
Received healthy response to inference request in 1.541292428970337s
Received healthy response to inference request in 1.4911906719207764s
5 requests
0 failed requests
5th percentile: 1.479249906539917
10th percentile: 1.4822350978851317
20th percentile: 1.4882054805755616
30th percentile: 1.5012110233306886
40th percentile: 1.5212517261505127
50th percentile: 1.541292428970337
60th percentile: 1.6807919025421143
70th percentile: 1.8202913761138915
80th percentile: 2.0049988269805907
90th percentile: 2.234914255142212
95th percentile: 2.3498719692230225
99th percentile: 2.441838140487671
mean time: 1.7727237224578858
Pipeline stage StressChecker completed in 10.25s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.90s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.69s
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albertwang8192-2025-07-11-7_v7 status is now deployed due to DeploymentManager action
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
Pipeline stage OfflineFamilyFriendlyScorer completed in 6095.70s
Shutdown handler de-registered
albertwang8192-2025-07-11-7_v7 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-11-7_v7 status is now torndown due to DeploymentManager action