developer_uid: RandomForest1024
submission_id: albertwang8192-2025-07-11-7_v15
model_name: 2025-07-11_7_v15
model_group: AlbertWang8192/2025-07-1
status: torndown
timestamp: 2025-07-13T17:42:56+00:00
num_battles: 9554
num_wins: 4584
celo_rating: 1270.54
family_friendly_score: 0.5518000000000001
family_friendly_standard_error: 0.007033018697543751
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': 0.5955148756781391, 'latency_mean': 1.6790319108963012, 'latency_p50': 1.6777081489562988, 'latency_p90': 1.851510715484619}, {'batch_size': 3, 'throughput': 1.0803453107748975, 'latency_mean': 2.766339809894562, 'latency_p50': 2.7615489959716797, 'latency_p90': 3.104088807106018}, {'batch_size': 5, 'throughput': 1.2919646381702514, 'latency_mean': 3.847886701822281, 'latency_p50': 3.8806232213974, 'latency_p90': 4.314534616470337}, {'batch_size': 6, 'throughput': 1.3535114440674305, 'latency_mean': 4.411143184900284, 'latency_p50': 4.424844026565552, 'latency_p90': 4.9294500827789305}, {'batch_size': 8, 'throughput': 1.4175204324190571, 'latency_mean': 5.593528536558151, 'latency_p50': 5.580675840377808, 'latency_p90': 6.322983527183533}, {'batch_size': 10, 'throughput': 1.451274095679649, 'latency_mean': 6.83673766374588, 'latency_p50': 6.852703928947449, 'latency_p90': 7.693614339828491}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: 2025-07-11_7_v15
is_internal_developer: False
language_model: AlbertWang8192/2025-07-11_7
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-13
win_ratio: 0.47979903705254345
generation_params: {'temperature': 0.6, 'top_p': 0.97, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_start|>', '<|im_end|>', '\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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-v15-mkmlizer
Waiting for job on albertwang8192-2025-07-11-7-v15-mkmlizer to finish
albertwang8192-2025-07-11-7-v15-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
albertwang8192-2025-07-11-7-v15-mkmlizer: ║                                                                     ║
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albertwang8192-2025-07-11-7-v15-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
albertwang8192-2025-07-11-7-v15-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v15-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-11-7-v15-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-11-7-v15-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-11-7-v15-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-11-7-v15-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v15-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-11-7-v15-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-11-7-v15-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v15-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-11-7-v15-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-11-7-v15-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-11-7-v15-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v15-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-11-7-v15-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-v15-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-v15-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-v15-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-v15-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-v15-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-v15-mkmlizer: Downloaded to shared memory in 35.659s
albertwang8192-2025-07-11-7-v15-mkmlizer: Checking if AlbertWang8192/2025-07-11_7 already exists in ChaiML
albertwang8192-2025-07-11-7-v15-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpy3p23rz_, device:0
albertwang8192-2025-07-11-7-v15-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission albertwang8192-2025-07-11-7_v11: HTTPConnectionPool(host='albertwang8192-2025-07-11-7-v11-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
albertwang8192-2025-07-11-7-v15-mkmlizer: quantized model in 37.821s
albertwang8192-2025-07-11-7-v15-mkmlizer: Processed model AlbertWang8192/2025-07-11_7 in 73.560s
albertwang8192-2025-07-11-7-v15-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-11-7-v15-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-11-7-v15-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v15/nvidia
albertwang8192-2025-07-11-7-v15-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v15/nvidia/config.json
albertwang8192-2025-07-11-7-v15-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v15/nvidia/special_tokens_map.json
albertwang8192-2025-07-11-7-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v15/nvidia/tokenizer_config.json
albertwang8192-2025-07-11-7-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v15/nvidia/tokenizer.json
albertwang8192-2025-07-11-7-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v15/nvidia/flywheel_model.0.safetensors
albertwang8192-2025-07-11-7-v15-mkmlizer: 
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Job albertwang8192-2025-07-11-7-v15-mkmlizer completed after 107.04s with status: succeeded
Stopping job with name albertwang8192-2025-07-11-7-v15-mkmlizer
Pipeline stage MKMLizer completed in 107.64s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service albertwang8192-2025-07-11-7-v15
Waiting for inference service albertwang8192-2025-07-11-7-v15 to be ready
Failed to get response for submission albertwang8192-2025-07-13-1_v1: HTTPConnectionPool(host='albertwang8192-2025-07-13-1-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission albertwang8192-2025-07-13-1_v1: HTTPConnectionPool(host='albertwang8192-2025-07-13-1-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission albertwang8192-2025-07-11-7_v12: HTTPConnectionPool(host='albertwang8192-2025-07-11-7-v12-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission blend_fader_2025-07-10: ('http://chaiml-mistral32-deepse-89261-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:51414->127.0.0.1:8080: read: connection reset by peer\n')
Inference service albertwang8192-2025-07-11-7-v15 ready after 221.17319631576538s
Pipeline stage MKMLDeployer completed in 221.87s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.175978422164917s
Failed to get response for submission albertwang8192-2025-07-11-7_v13: HTTPConnectionPool(host='albertwang8192-2025-07-11-7-v13-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission albertwang8192-2025-07-11-7_v11: HTTPConnectionPool(host='albertwang8192-2025-07-11-7-v11-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Received healthy response to inference request in 2.048516035079956s
Received healthy response to inference request in 2.1459507942199707s
Received healthy response to inference request in 2.0678932666778564s
Received healthy response to inference request in 1.9320743083953857s
5 requests
0 failed requests
5th percentile: 1.9553626537323
10th percentile: 1.9786509990692138
20th percentile: 2.025227689743042
30th percentile: 2.0523914813995363
40th percentile: 2.0601423740386964
50th percentile: 2.0678932666778564
60th percentile: 2.0991162776947023
70th percentile: 2.1303392887115478
80th percentile: 2.35195631980896
90th percentile: 2.7639673709869386
95th percentile: 2.9699728965759276
99th percentile: 3.134777317047119
mean time: 2.274082565307617
Pipeline stage StressChecker completed in 12.85s
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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 0.73s
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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 0.80s
Shutdown handler de-registered
albertwang8192-2025-07-11-7_v15 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 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service albertwang8192-2025-07-11-7-v15-profiler
Waiting for inference service albertwang8192-2025-07-11-7-v15-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 6519.47s
Shutdown handler de-registered
albertwang8192-2025-07-11-7_v15 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-11-7_v15 status is now torndown due to DeploymentManager action