developer_uid: rirv938
submission_id: rirv938-1000-sim-100p-0_89759_v2
model_name: rirv938-1000-sim-100p-0_89759_v2
model_group: rirv938/1000_sim_100p_0f
status: torndown
timestamp: 2025-04-22T05:11:27+00:00
num_battles: 8183
num_wins: 4251
celo_rating: 1303.41
family_friendly_score: 0.5644
family_friendly_standard_error: 0.007012169992234929
submission_type: basic
model_repo: rirv938/1000_sim_100p_0ff_rirv938_mistral_24b_lex__1090_v2_cp248_v9_merged
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5342164246050395, 'latency_mean': 1.8718459296226502, 'latency_p50': 1.875933289527893, 'latency_p90': 2.083580255508423}, {'batch_size': 3, 'throughput': 1.084377149404876, 'latency_mean': 2.7603942513465882, 'latency_p50': 2.7603232860565186, 'latency_p90': 3.076836037635803}, {'batch_size': 5, 'throughput': 1.3878340078123634, 'latency_mean': 3.578361587524414, 'latency_p50': 3.5705268383026123, 'latency_p90': 4.014683961868286}, {'batch_size': 6, 'throughput': 1.5020335349159875, 'latency_mean': 3.976356704235077, 'latency_p50': 3.967012882232666, 'latency_p90': 4.5188596725463865}, {'batch_size': 8, 'throughput': 1.6489318176955805, 'latency_mean': 4.816575850248337, 'latency_p50': 4.796979665756226, 'latency_p90': 5.384618401527405}, {'batch_size': 10, 'throughput': 1.7420312839579846, 'latency_mean': 5.681943770647049, 'latency_p50': 5.679615259170532, 'latency_p90': 6.499294877052307}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: rirv938-1000-sim-100p-0_89759_v2
is_internal_developer: True
language_model: rirv938/1000_sim_100p_0ff_rirv938_mistral_24b_lex__1090_v2_cp248_v9_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 1.43
us_pacific_date: 2025-04-21
win_ratio: 0.5194916289869241
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['You:', '</s>', '###', '\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', '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 rirv938-1000-sim-100p-0-89759-v2-mkmlizer
Waiting for job on rirv938-1000-sim-100p-0-89759-v2-mkmlizer to finish
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ _____ __ __ ║
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rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ /___/ ║
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ ║
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ Version: 0.12.8 ║
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ https://mk1.ai ║
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ ║
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ The license key for the current software has been verified as ║
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ belonging to: ║
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ ║
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ Chai Research Corp. ║
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ║ ║
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: Downloaded to shared memory in 119.799s
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpde2p2udu, device:0
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission rirv938-1000-sim-100p-0_89759_v1: HTTPConnectionPool(host='rirv938-1000-sim-100p-0-89759-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: quantized model in 62.568s
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: Processed model rirv938/1000_sim_100p_0ff_rirv938_mistral_24b_lex__1090_v2_cp248_v9_merged in 182.368s
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: creating bucket guanaco-mkml-models
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-1000-sim-100p-0-89759-v2
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-1000-sim-100p-0-89759-v2/config.json
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-1000-sim-100p-0-89759-v2/special_tokens_map.json
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-1000-sim-100p-0-89759-v2/tokenizer_config.json
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-1000-sim-100p-0-89759-v2/tokenizer.json
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/rirv938-1000-sim-100p-0-89759-v2/flywheel_model.1.safetensors
rirv938-1000-sim-100p-0-89759-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-1000-sim-100p-0-89759-v2/flywheel_model.0.safetensors
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Job rirv938-1000-sim-100p-0-89759-v2-mkmlizer completed after 206.81s with status: succeeded
Stopping job with name rirv938-1000-sim-100p-0-89759-v2-mkmlizer
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Inference service rirv938-1000-sim-100p-0-89759-v2 ready after 130.54091334342957s
Pipeline stage MKMLDeployer completed in 131.03s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.8992457389831543s
Received healthy response to inference request in 2.0596933364868164s
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Received healthy response to inference request in 2.0263800621032715s
Received healthy response to inference request in 1.9555566310882568s
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5th percentile: 1.9697213172912598
10th percentile: 1.9838860034942627
20th percentile: 2.0122153759002686
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40th percentile: 2.0463680267333983
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70th percentile: 2.066669464111328
80th percentile: 2.234579944610596
90th percentile: 2.566912841796875
95th percentile: 2.7330792903900143
99th percentile: 2.8660124492645265
mean time: 2.201857852935791
Pipeline stage StressChecker completed in 12.14s
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