albertwang8192-2025-07-11-7

developer_uid: RandomForest1024

submission_id: albertwang8192-2025-07-11-7_v10

model_name: 2025-07-11_7_v10

model_group: AlbertWang8192/2025-07-1

status: torndown

timestamp: 2025-07-12T21:20:29+00:00

num_battles: 8011

num_wins: 3936

celo_rating: 1280.49

family_friendly_score: 0.5522

family_friendly_standard_error: 0.007032427177013638

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': 0.5968230162021813, 'latency_mean': 1.6754246151447296, 'latency_p50': 1.6813149452209473, 'latency_p90': 1.8470828771591186}, {'batch_size': 3, 'throughput': 1.080449098493238, 'latency_mean': 2.769506734609604, 'latency_p50': 2.761197805404663, 'latency_p90': 3.016596293449402}, {'batch_size': 5, 'throughput': 1.2911037006528119, 'latency_mean': 3.8512116360664366, 'latency_p50': 3.8599181175231934, 'latency_p90': 4.322885370254516}, {'batch_size': 6, 'throughput': 1.3697441726385857, 'latency_mean': 4.365461297035218, 'latency_p50': 4.39686906337738, 'latency_p90': 4.863945817947387}, {'batch_size': 8, 'throughput': 1.4328371971451213, 'latency_mean': 5.545555273294449, 'latency_p50': 5.572189569473267, 'latency_p90': 6.209611654281616}, {'batch_size': 10, 'throughput': 1.4574650432287497, 'latency_mean': 6.802955187559128, 'latency_p50': 6.8376466035842896, 'latency_p90': 7.684748029708862}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 2025-07-11_7_v10

is_internal_developer: False

language_model: AlbertWang8192/2025-07-11_7

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-07-12

win_ratio: 0.4913244289102484

generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, '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-v10-mkmlizer
Waiting for job on albertwang8192-2025-07-11-7-v10-mkmlizer to finish
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albertwang8192-2025-07-11-7-v10-mkmlizer: ║                                                                     ║
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albertwang8192-2025-07-11-7-v10-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
albertwang8192-2025-07-11-7-v10-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v10-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-11-7-v10-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-11-7-v10-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-11-7-v10-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-11-7-v10-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v10-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-11-7-v10-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-11-7-v10-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v10-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-11-7-v10-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-11-7-v10-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-11-7-v10-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-11-7-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-mkmlizer: Downloaded to shared memory in 31.582s
albertwang8192-2025-07-11-7-v10-mkmlizer: Checking if AlbertWang8192/2025-07-11_7 already exists in ChaiML
albertwang8192-2025-07-11-7-v10-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmprkj40ut8, device:0
albertwang8192-2025-07-11-7-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-gy-exp158-cpo-ex_43900_v1: HTTPConnectionPool(host='chaiml-gy-exp158-cpo-ex-43900-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-gy-exp158-cpo-ex_43900_v1: HTTPConnectionPool(host='chaiml-gy-exp158-cpo-ex-43900-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
albertwang8192-2025-07-11-7-v10-mkmlizer: quantized model in 29.607s
albertwang8192-2025-07-11-7-v10-mkmlizer: Processed model AlbertWang8192/2025-07-11_7 in 61.277s
albertwang8192-2025-07-11-7-v10-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-11-7-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-11-7-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v10/nvidia
albertwang8192-2025-07-11-7-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v10/nvidia/config.json
albertwang8192-2025-07-11-7-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v10/nvidia/special_tokens_map.json
albertwang8192-2025-07-11-7-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v10/nvidia/tokenizer_config.json
albertwang8192-2025-07-11-7-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v10/nvidia/tokenizer.json
albertwang8192-2025-07-11-7-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v10/nvidia/flywheel_model.0.safetensors
albertwang8192-2025-07-11-7-v10-mkmlizer: 
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Job albertwang8192-2025-07-11-7-v10-mkmlizer completed after 85.98s with status: succeeded
Stopping job with name albertwang8192-2025-07-11-7-v10-mkmlizer
Pipeline stage MKMLizer completed in 86.65s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service albertwang8192-2025-07-11-7-v10
Waiting for inference service albertwang8192-2025-07-11-7-v10 to be ready
Failed to get response for submission chaiml-gy-exp158-cpo-ex_43900_v1: HTTPConnectionPool(host='chaiml-gy-exp158-cpo-ex-43900-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-gy-exp158-cpo-ex_43900_v1: HTTPConnectionPool(host='chaiml-gy-exp158-cpo-ex-43900-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service albertwang8192-2025-07-11-7-v10 ready after 221.13108110427856s
Pipeline stage MKMLDeployer completed in 221.71s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2550408840179443s
Received healthy response to inference request in 1.5194518566131592s
Received healthy response to inference request in 1.531613826751709s
Received healthy response to inference request in 1.492211103439331s
Received healthy response to inference request in 1.549534559249878s
5 requests
0 failed requests
5th percentile: 1.4976592540740967
10th percentile: 1.5031074047088624
20th percentile: 1.5140037059783935
30th percentile: 1.5218842506408692
40th percentile: 1.526749038696289
50th percentile: 1.531613826751709
60th percentile: 1.5387821197509766
70th percentile: 1.5459504127502441
80th percentile: 1.6906358242034913
90th percentile: 1.972838354110718
95th percentile: 2.1139396190643307
99th percentile: 2.2268206310272216
mean time: 1.6695704460144043
Pipeline stage StressChecker completed in 10.03s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.72s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5699.25s
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albertwang8192-2025-07-11-7_v10 status is now torndown due to DeploymentManager action