developer_uid: NischayDnk
submission_id: mistralai-mistral-smal_78605_v24
model_name: mistralai-mistral-smal_78605_v24
model_group: mistralai/Mistral-Small-
status: torndown
timestamp: 2025-05-09T11:00:55+00:00
num_battles: 6718
num_wins: 3163
celo_rating: 1265.42
family_friendly_score: 0.6038
family_friendly_standard_error: 0.006917016119686291
submission_type: basic
model_repo: mistralai/Mistral-Small-24B-Instruct-2501
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': 0.527147413622926, 'latency_mean': 1.8969385290145875, 'latency_p50': 1.9083528518676758, 'latency_p90': 2.0962941884994506}, {'batch_size': 3, 'throughput': 1.084725536097859, 'latency_mean': 2.7602753710746764, 'latency_p50': 2.7711793184280396, 'latency_p90': 3.059319829940796}, {'batch_size': 5, 'throughput': 1.3896646790667193, 'latency_mean': 3.579686050415039, 'latency_p50': 3.5870461463928223, 'latency_p90': 3.944963550567627}, {'batch_size': 6, 'throughput': 1.4914779317669677, 'latency_mean': 3.9910986328125, 'latency_p50': 4.0229339599609375, 'latency_p90': 4.4377371072769165}, {'batch_size': 8, 'throughput': 1.6600022348248051, 'latency_mean': 4.795731850862503, 'latency_p50': 4.830318570137024, 'latency_p90': 5.359777879714966}, {'batch_size': 10, 'throughput': 1.744204628030462, 'latency_mean': 5.686391561031342, 'latency_p50': 5.725111961364746, 'latency_p90': 6.34503288269043}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: mistralai-mistral-smal_78605_v24
is_internal_developer: False
language_model: mistralai/Mistral-Small-24B-Instruct-2501
model_size: 24B
ranking_group: single
throughput_3p7s: 1.43
us_pacific_date: 2025-05-09
win_ratio: 0.47082465019351
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.2, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['</s>', '\n', 'You:', '###'], '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 mistralai-mistral-smal-78605-v24-mkmlizer
Waiting for job on mistralai-mistral-smal-78605-v24-mkmlizer to finish
mistralai-mistral-smal-78605-v24-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-smal-78605-v24-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ /___/ ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ Version: 0.12.8 ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ belonging to: ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
mistralai-mistral-smal-78605-v24-mkmlizer: ║ ║
mistralai-mistral-smal-78605-v24-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-smal-78605-v24-mkmlizer: Downloaded to shared memory in 83.308s
mistralai-mistral-smal-78605-v24-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmprvm04s39, device:0
mistralai-mistral-smal-78605-v24-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-smal-78605-v24-mkmlizer: quantized model in 54.928s
mistralai-mistral-smal-78605-v24-mkmlizer: Processed model mistralai/Mistral-Small-24B-Instruct-2501 in 138.236s
mistralai-mistral-smal-78605-v24-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-smal-78605-v24-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-smal-78605-v24/config.json
mistralai-mistral-smal-78605-v24-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-smal-78605-v24/special_tokens_map.json
mistralai-mistral-smal-78605-v24-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-smal-78605-v24/tokenizer_config.json
mistralai-mistral-smal-78605-v24-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-smal-78605-v24/tokenizer.json
mistralai-mistral-smal-78605-v24-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mistral-smal-78605-v24/flywheel_model.1.safetensors
mistralai-mistral-smal-78605-v24-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-smal-78605-v24/flywheel_model.0.safetensors
mistralai-mistral-smal-78605-v24-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:16, 21.85it/s] Loading 0: 3%|▎ | 12/363 [00:00<00:09, 37.67it/s] Loading 0: 5%|▍ | 17/363 [00:00<00:09, 34.82it/s] Loading 0: 6%|▌ | 21/363 [00:00<00:09, 35.47it/s] Loading 0: 7%|▋ | 25/363 [00:00<00:10, 31.68it/s] Loading 0: 9%|▉ | 32/363 [00:00<00:08, 36.87it/s] Loading 0: 10%|▉ | 36/363 [00:01<00:14, 22.50it/s] Loading 0: 11%|█ | 40/363 [00:01<00:12, 25.25it/s] Loading 0: 12%|█▏ | 44/363 [00:01<00:12, 26.48it/s] Loading 0: 13%|█▎ | 48/363 [00:01<00:11, 28.46it/s] Loading 0: 14%|█▍ | 52/363 [00:01<00:11, 27.49it/s] Loading 0: 16%|█▌ | 57/363 [00:01<00:10, 29.26it/s] Loading 0: 17%|█▋ | 61/363 [00:02<00:11, 27.21it/s] Loading 0: 18%|█▊ | 65/363 [00:02<00:10, 27.88it/s] Loading 0: 19%|█▉ | 70/363 [00:02<00:11, 24.87it/s] Loading 0: 20%|██ | 73/363 [00:02<00:13, 21.56it/s] Loading 0: 22%|██▏ | 79/363 [00:02<00:10, 26.67it/s] Loading 0: 23%|██▎ | 82/363 [00:02<00:10, 25.64it/s] Loading 0: 24%|██▎ | 86/363 [00:03<00:10, 27.00it/s] Loading 0: 25%|██▍ | 89/363 [00:03<00:10, 26.96it/s] Loading 0: 25%|██▌ | 92/363 [00:03<00:12, 21.65it/s] Loading 0: 27%|██▋ | 99/363 [00:03<00:09, 28.43it/s] Loading 0: 28%|██▊ | 102/363 [00:03<00:10, 25.88it/s] Loading 0: 29%|██▉ | 107/363 [00:03<00:10, 23.66it/s] Loading 0: 31%|███ | 112/363 [00:04<00:09, 26.64it/s] Loading 0: 32%|███▏ | 115/363 [00:04<00:09, 25.49it/s] Loading 0: 33%|███▎ | 120/363 [00:04<00:08, 27.89it/s] Loading 0: 34%|███▍ | 123/363 [00:04<00:09, 25.24it/s] Loading 0: 36%|███▌ | 129/363 [00:04<00:08, 29.11it/s] Loading 0: 36%|███▋ | 132/363 [00:05<00:10, 21.28it/s] Loading 0: 38%|███▊ | 138/363 [00:05<00:08, 26.12it/s] Loading 0: 39%|███▉ | 141/363 [00:05<00:09, 24.33it/s] Loading 0: 40%|████ | 147/363 [00:05<00:06, 31.26it/s] Loading 0: 42%|████▏ | 151/363 [00:05<00:08, 24.25it/s] Loading 0: 42%|████▏ | 154/363 [00:05<00:09, 23.02it/s] Loading 0: 43%|████▎ | 157/363 [00:05<00:08, 24.05it/s] Loading 0: 44%|████▍ | 160/363 [00:06<00:08, 24.82it/s] Loading 0: 45%|████▌ | 165/363 [00:06<00:07, 27.99it/s] Loading 0: 46%|████▋ | 168/363 [00:06<00:07, 25.48it/s] Loading 0: 48%|████▊ | 174/363 [00:06<00:06, 30.21it/s] Loading 0: 49%|████▉ | 178/363 [00:06<00:06, 28.55it/s] Loading 0: 50%|█████ | 182/363 [00:06<00:06, 28.51it/s] Loading 0: 52%|█████▏ | 187/363 [00:07<00:06, 25.47it/s] Loading 0: 52%|█████▏ | 190/363 [00:07<00:07, 23.58it/s] Loading 0: 53%|█████▎ | 193/363 [00:07<00:06, 24.37it/s] Loading 0: 54%|█████▍ | 196/363 [00:07<00:06, 24.11it/s] Loading 0: 55%|█████▌ | 200/363 [00:22<00:06, 24.11it/s] Loading 0: 55%|█████▌ | 201/363 [00:22<03:03, 1.14s/it] Loading 0: 56%|█████▌ | 203/363 [00:22<02:32, 1.05it/s] Loading 0: 57%|█████▋ | 208/363 [00:22<01:31, 1.69it/s] Loading 0: 58%|█████▊ | 211/363 [00:22<01:10, 2.17it/s] Loading 0: 59%|█████▉ | 214/363 [00:22<00:52, 2.85it/s] Loading 0: 60%|█████▉ | 217/363 [00:22<00:38, 3.78it/s] Loading 0: 61%|██████ | 220/363 [00:22<00:29, 4.80it/s] Loading 0: 61%|██████▏ | 223/363 [00:23<00:22, 6.29it/s] Loading 0: 62%|██████▏ | 226/363 [00:23<00:18, 7.34it/s] Loading 0: 63%|██████▎ | 230/363 [00:23<00:14, 9.32it/s] Loading 0: 65%|██████▍ | 235/363 [00:23<00:09, 13.50it/s] Loading 0: 66%|██████▌ | 238/363 [00:23<00:08, 15.53it/s] Loading 0: 66%|██████▋ | 241/363 [00:23<00:07, 17.00it/s] Loading 0: 67%|██████▋ | 244/363 [00:24<00:06, 19.16it/s] Loading 0: 68%|██████▊ | 247/363 [00:24<00:05, 21.01it/s] Loading 0: 69%|██████▉ | 250/363 [00:24<00:05, 21.41it/s] Loading 0: 70%|███████ | 255/363 [00:24<00:04, 24.61it/s] Loading 0: 71%|███████ | 258/363 [00:24<00:04, 22.41it/s] Loading 0: 72%|███████▏ | 262/363 [00:24<00:03, 25.84it/s] Loading 0: 73%|███████▎ | 266/363 [00:24<00:03, 28.81it/s] Loading 0: 74%|███████▍ | 270/363 [00:25<00:05, 17.51it/s] Loading 0: 75%|███████▌ | 274/363 [00:25<00:04, 20.80it/s] Loading 0: 76%|███████▋ | 277/363 [00:25<00:04, 20.62it/s] Loading 0: 77%|███████▋ | 280/363 [00:25<00:03, 22.17it/s] Loading 0: 78%|███████▊ | 283/363 [00:25<00:03, 23.56it/s] Loading 0: 79%|███████▉ | 286/363 [00:25<00:03, 23.29it/s] Loading 0: 80%|████████ | 291/363 [00:25<00:02, 26.04it/s] Loading 0: 81%|████████ | 294/363 [00:26<00:02, 23.07it/s] Loading 0: 82%|████████▏ | 298/363 [00:26<00:02, 26.26it/s] Loading 0: 83%|████████▎ | 303/363 [00:26<00:02, 28.03it/s] Loading 0: 84%|████████▍ | 306/363 [00:26<00:03, 17.42it/s] Loading 0: 85%|████████▌ | 310/363 [00:26<00:02, 20.90it/s] Loading 0: 86%|████████▌ | 313/363 [00:27<00:02, 21.41it/s] Loading 0: 87%|████████▋ | 316/363 [00:27<00:02, 22.81it/s] Loading 0: 88%|████████▊ | 319/363 [00:27<00:01, 23.75it/s] Loading 0: 89%|████████▊ | 322/363 [00:27<00:01, 23.35it/s] Loading 0: 90%|████████▉ | 325/363 [00:27<00:01, 24.66it/s] Loading 0: 90%|█████████ | 328/363 [00:27<00:01, 25.55it/s] Loading 0: 91%|█████████ | 331/363 [00:27<00:01, 24.60it/s] Loading 0: 92%|█████████▏| 334/363 [00:27<00:01, 25.87it/s] Loading 0: 93%|█████████▎| 337/363 [00:28<00:01, 21.67it/s] Loading 0: 94%|█████████▎| 340/363 [00:28<00:00, 23.37it/s] Loading 0: 94%|█████████▍| 343/363 [00:35<00:14, 1.40it/s] Loading 0: 96%|█████████▌| 348/363 [00:35<00:06, 2.29it/s] Loading 0: 98%|█████████▊| 355/363 [00:35<00:01, 4.03it/s] Loading 0: 99%|█████████▊| 358/363 [00:35<00:01, 4.84it/s]
Job mistralai-mistral-smal-78605-v24-mkmlizer completed after 176.68s with status: succeeded
Stopping job with name mistralai-mistral-smal-78605-v24-mkmlizer
Pipeline stage MKMLizer completed in 177.19s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-smal-78605-v24
Waiting for inference service mistralai-mistral-smal-78605-v24 to be ready
Inference service mistralai-mistral-smal-78605-v24 ready after 130.51029658317566s
Pipeline stage MKMLDeployer completed in 131.09s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3317887783050537s
Received healthy response to inference request in 1.9247362613677979s
Received healthy response to inference request in 1.2210571765899658s
Received healthy response to inference request in 1.2662560939788818s
Received healthy response to inference request in 2.075610637664795s
5 requests
0 failed requests
5th percentile: 1.230096960067749
10th percentile: 1.2391367435455323
20th percentile: 1.2572163105010987
30th percentile: 1.397952127456665
40th percentile: 1.6613441944122316
50th percentile: 1.9247362613677979
60th percentile: 1.9850860118865967
70th percentile: 2.0454357624053956
80th percentile: 2.126846265792847
90th percentile: 2.2293175220489503
95th percentile: 2.2805531501770018
99th percentile: 2.3215416526794432
mean time: 1.7638897895812988
Pipeline stage StressChecker completed in 10.30s
run pipeline stage %s
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 0.74s
run pipeline stage %s
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 0.70s
Shutdown handler de-registered
mistralai-mistral-smal_78605_v24 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2696.65s
Shutdown handler de-registered
mistralai-mistral-smal_78605_v24 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-smal_78605_v24 status is now torndown due to DeploymentManager action