albertwang8192-2025-07-08-10

developer_uid: RandomForest1024

submission_id: albertwang8192-2025-07-08-10_v1

model_name: 2025-07-08_10

model_group: AlbertWang8192/2025-07-0

status: torndown

timestamp: 2025-07-08T23:36:15+00:00

num_battles: 6723

num_wins: 3147

celo_rating: 1257.72

family_friendly_score: 0.593

family_friendly_standard_error: 0.00694767587039004

submission_type: basic

model_repo: AlbertWang8192/2025-07-08_10

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': 0.5891285890235143, 'latency_mean': 1.697315934896469, 'latency_p50': 1.686945915222168, 'latency_p90': 1.874315333366394}, {'batch_size': 3, 'throughput': 1.0496742308486748, 'latency_mean': 2.8504417371749877, 'latency_p50': 2.8436626195907593, 'latency_p90': 3.139618110656738}, {'batch_size': 5, 'throughput': 1.276157728514797, 'latency_mean': 3.89343591094017, 'latency_p50': 3.9246883392333984, 'latency_p90': 4.318439316749573}, {'batch_size': 6, 'throughput': 1.3256117902909494, 'latency_mean': 4.500661926269531, 'latency_p50': 4.493895769119263, 'latency_p90': 4.999178695678711}, {'batch_size': 8, 'throughput': 1.3873122705465322, 'latency_mean': 5.7237616372108455, 'latency_p50': 5.742210030555725, 'latency_p90': 6.4174467563629145}, {'batch_size': 10, 'throughput': 1.4136810289456585, 'latency_mean': 7.02234060049057, 'latency_p50': 7.0373523235321045, 'latency_p90': 8.03603961467743}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 2025-07-08_10

is_internal_developer: False

language_model: AlbertWang8192/2025-07-08_10

model_size: 13B

ranking_group: single

throughput_3p7s: 1.25

us_pacific_date: 2025-07-08

win_ratio: 0.4680946006247211

generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, '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': False}

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name albertwang8192-2025-07-08-10-v1-mkmlizer
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albertwang8192-2025-07-08-10-v1-mkmlizer: ║                                                                     ║
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albertwang8192-2025-07-08-10-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-10-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-08-10-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-08-10-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-08-10-v1-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-08-10-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-10-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-08-10-v1-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-08-10-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-10-v1-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-08-10-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-08-10-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-08-10-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-10-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-08-10-v1-mkmlizer: Downloaded to shared memory in 56.195s
albertwang8192-2025-07-08-10-v1-mkmlizer: Checking if AlbertWang8192/2025-07-08_10 already exists in ChaiML
albertwang8192-2025-07-08-10-v1-mkmlizer: 
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albertwang8192-2025-07-08-10-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpralvok56, device:0
albertwang8192-2025-07-08-10-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-08-10-v1-mkmlizer: quantized model in 31.244s
albertwang8192-2025-07-08-10-v1-mkmlizer: Processed model AlbertWang8192/2025-07-08_10 in 144.858s
albertwang8192-2025-07-08-10-v1-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-08-10-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-08-10-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-08-10-v1/nvidia
albertwang8192-2025-07-08-10-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-10-v1/nvidia/config.json
albertwang8192-2025-07-08-10-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-10-v1/nvidia/special_tokens_map.json
albertwang8192-2025-07-08-10-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-10-v1/nvidia/tokenizer_config.json
albertwang8192-2025-07-08-10-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-10-v1/nvidia/tokenizer.json
albertwang8192-2025-07-08-10-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-08-10-v1/nvidia/flywheel_model.0.safetensors
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Job albertwang8192-2025-07-08-10-v1-mkmlizer completed after 167.05s with status: succeeded
Stopping job with name albertwang8192-2025-07-08-10-v1-mkmlizer
Pipeline stage MKMLizer completed in 167.60s
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Creating inference service albertwang8192-2025-07-08-10-v1
Waiting for inference service albertwang8192-2025-07-08-10-v1 to be ready
Inference service albertwang8192-2025-07-08-10-v1 ready after 191.26492261886597s
Pipeline stage MKMLDeployer completed in 192.08s
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Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
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