developer_uid: bogoconic1
submission_id: mistralai-mistral-nem_93303_v508
model_name: mistralai-mistral-nem_93303_v508
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-06-29T08:53:50+00:00
num_battles: 8134
num_wins: 3218
celo_rating: 1198.4
family_friendly_score: 0.6728000000000001
family_friendly_standard_error: 0.006635362235778842
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.5892232275828589, 'latency_mean': 1.697045487165451, 'latency_p50': 1.7016348838806152, 'latency_p90': 1.875246238708496}, {'batch_size': 3, 'throughput': 1.0576696879708947, 'latency_mean': 2.831283314228058, 'latency_p50': 2.8412119150161743, 'latency_p90': 3.1144641399383546}, {'batch_size': 5, 'throughput': 1.263517832487368, 'latency_mean': 3.9371393287181853, 'latency_p50': 3.925157308578491, 'latency_p90': 4.37416307926178}, {'batch_size': 6, 'throughput': 1.3305212897533798, 'latency_mean': 4.4890422344207765, 'latency_p50': 4.4837329387664795, 'latency_p90': 5.041883969306945}, {'batch_size': 8, 'throughput': 1.385454695058634, 'latency_mean': 5.731889606714248, 'latency_p50': 5.7387131452560425, 'latency_p90': 6.423907923698425}, {'batch_size': 10, 'throughput': 1.409339590441662, 'latency_mean': 7.028292963504791, 'latency_p50': 7.090324878692627, 'latency_p90': 7.925547313690186}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nem_93303_v508
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.24
us_pacific_date: 2025-06-29
win_ratio: 0.39562330956478975
generation_params: {'temperature': 0.001, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['\n', '<|im_start|>', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>Family Friendly{memory}\n', 'prompt_template': '{prompt}\nMake sure you end the response with a question.\n', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', '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-nem-93303-v508-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v508-mkmlizer to finish
mistralai-mistral-nem-93303-v508-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v508-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ Version: 0.29.3 ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ belonging to: ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
mistralai-mistral-nem-93303-v508-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v508-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v508-mkmlizer: Downloaded to shared memory in 47.424s
mistralai-mistral-nem-93303-v508-mkmlizer: Checking if mistralai/Mistral-Nemo-Instruct-2407 already exists in ChaiML
mistralai-mistral-nem-93303-v508-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpzxasnq_z, device:0
mistralai-mistral-nem-93303-v508-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v508-mkmlizer: quantized model in 31.251s
mistralai-mistral-nem-93303-v508-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 78.763s
mistralai-mistral-nem-93303-v508-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v508-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v508-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v508
mistralai-mistral-nem-93303-v508-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v508/special_tokens_map.json
mistralai-mistral-nem-93303-v508-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v508/config.json
mistralai-mistral-nem-93303-v508-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v508/tokenizer_config.json
mistralai-mistral-nem-93303-v508-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v508/tokenizer.json
mistralai-mistral-nem-93303-v508-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v508/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v508-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:11, 30.76it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:07, 49.29it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 43.45it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:08, 40.94it/s] Loading 0: 8%|▊ | 30/363 [00:00<00:07, 45.73it/s] Loading 0: 10%|▉ | 35/363 [00:00<00:07, 44.57it/s] Loading 0: 11%|█ | 40/363 [00:00<00:07, 44.31it/s] Loading 0: 12%|█▏ | 45/363 [00:01<00:06, 45.57it/s] Loading 0: 14%|█▍ | 50/363 [00:01<00:08, 37.31it/s] Loading 0: 16%|█▌ | 57/363 [00:01<00:06, 45.25it/s] Loading 0: 17%|█▋ | 62/363 [00:01<00:10, 29.40it/s] Loading 0: 18%|█▊ | 66/363 [00:01<00:09, 30.67it/s] Loading 0: 20%|█▉ | 71/363 [00:01<00:08, 34.02it/s] Loading 0: 21%|██ | 76/363 [00:01<00:07, 36.02it/s] Loading 0: 22%|██▏ | 81/363 [00:02<00:07, 37.38it/s] Loading 0: 24%|██▎ | 86/363 [00:02<00:06, 39.80it/s] Loading 0: 25%|██▌ | 91/363 [00:02<00:07, 34.61it/s] Loading 0: 27%|██▋ | 98/363 [00:02<00:06, 41.76it/s] Loading 0: 28%|██▊ | 103/363 [00:02<00:06, 41.17it/s] Loading 0: 30%|██▉ | 108/363 [00:02<00:05, 42.88it/s] Loading 0: 31%|███ | 113/363 [00:02<00:06, 36.93it/s] Loading 0: 33%|███▎ | 118/363 [00:03<00:06, 37.04it/s] Loading 0: 34%|███▍ | 125/363 [00:03<00:05, 43.39it/s] Loading 0: 36%|███▌ | 130/363 [00:03<00:05, 42.76it/s] Loading 0: 37%|███▋ | 135/363 [00:03<00:05, 42.14it/s] Loading 0: 39%|███▊ | 140/363 [00:03<00:05, 42.67it/s] Loading 0: 40%|███▉ | 145/363 [00:03<00:08, 25.12it/s] Loading 0: 41%|████ | 149/363 [00:04<00:08, 25.90it/s] Loading 0: 43%|████▎ | 156/363 [00:04<00:06, 32.49it/s] Loading 0: 44%|████▍ | 160/363 [00:04<00:06, 32.49it/s] Loading 0: 45%|████▌ | 165/363 [00:04<00:05, 35.64it/s] Loading 0: 47%|████▋ | 169/363 [00:04<00:05, 35.56it/s] Loading 0: 48%|████▊ | 174/363 [00:04<00:04, 37.91it/s] Loading 0: 49%|████▉ | 179/363 [00:04<00:04, 38.50it/s] Loading 0: 51%|█████ | 184/363 [00:04<00:04, 39.18it/s] Loading 0: 52%|█████▏ | 189/363 [00:05<00:04, 41.07it/s] Loading 0: 53%|█████▎ | 194/363 [00:05<00:05, 33.59it/s] Loading 0: 55%|█████▌ | 201/363 [00:05<00:03, 40.79it/s] Loading 0: 57%|█████▋ | 206/363 [00:05<00:03, 40.81it/s] Loading 0: 58%|█████▊ | 211/363 [00:05<00:03, 40.41it/s] Loading 0: 60%|█████▉ | 216/363 [00:05<00:03, 42.01it/s] Loading 0: 61%|██████ | 221/363 [00:05<00:03, 43.39it/s] Loading 0: 62%|██████▏ | 226/363 [00:06<00:05, 26.24it/s] Loading 0: 63%|██████▎ | 230/363 [00:06<00:04, 27.10it/s] Loading 0: 65%|██████▌ | 237/363 [00:06<00:03, 34.10it/s] Loading 0: 67%|██████▋ | 242/363 [00:06<00:03, 34.89it/s] Loading 0: 68%|██████▊ | 247/363 [00:06<00:03, 36.73it/s] Loading 0: 69%|██████▉ | 252/363 [00:06<00:02, 39.49it/s] Loading 0: 71%|███████ | 257/363 [00:06<00:03, 33.55it/s] Loading 0: 73%|███████▎ | 264/363 [00:07<00:02, 40.29it/s] Loading 0: 74%|███████▍ | 269/363 [00:07<00:02, 39.61it/s] Loading 0: 75%|███████▌ | 274/363 [00:07<00:02, 40.16it/s] Loading 0: 77%|███████▋ | 279/363 [00:07<00:02, 41.72it/s] Loading 0: 78%|███████▊ | 284/363 [00:07<00:02, 34.62it/s] Loading 0: 80%|████████ | 291/363 [00:07<00:01, 40.92it/s] Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 40.69it/s] Loading 0: 83%|████████▎ | 301/363 [00:07<00:01, 42.37it/s] Loading 0: 84%|████████▍ | 306/363 [00:08<00:02, 22.55it/s] Loading 0: 85%|████████▌ | 310/363 [00:08<00:02, 23.60it/s] Loading 0: 87%|████████▋ | 314/363 [00:08<00:01, 25.94it/s] Loading 0: 88%|████████▊ | 320/363 [00:08<00:01, 31.49it/s] Loading 0: 90%|████████▉ | 326/363 [00:09<00:01, 33.20it/s] Loading 0: 91%|█████████ | 330/363 [00:09<00:01, 32.88it/s] Loading 0: 93%|█████████▎| 337/363 [00:09<00:00, 40.62it/s] Loading 0: 94%|█████████▍| 342/363 [00:09<00:00, 40.06it/s] Loading 0: 96%|█████████▌| 347/363 [00:09<00:00, 39.29it/s] Loading 0: 97%|█████████▋| 352/363 [00:09<00:00, 41.26it/s] Loading 0: 98%|█████████▊| 357/363 [00:09<00:00, 35.31it/s]
Job mistralai-mistral-nem-93303-v508-mkmlizer completed after 104.65s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v508-mkmlizer
Pipeline stage MKMLizer completed in 105.30s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v508
Waiting for inference service mistralai-mistral-nem-93303-v508 to be ready
Inference service mistralai-mistral-nem-93303-v508 ready after 180.64825010299683s
Pipeline stage MKMLDeployer completed in 181.57s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0992953777313232s
Received healthy response to inference request in 2.066190004348755s
Received healthy response to inference request in 1.2041590213775635s
Received healthy response to inference request in 1.2579703330993652s
Received healthy response to inference request in 1.2651629447937012s
5 requests
0 failed requests
5th percentile: 1.2149212837219239
10th percentile: 1.2256835460662843
20th percentile: 1.2472080707550048
30th percentile: 1.2594088554382323
40th percentile: 1.2622859001159668
50th percentile: 1.2651629447937012
60th percentile: 1.5855737686157225
70th percentile: 1.9059845924377439
80th percentile: 2.0728110790252687
90th percentile: 2.086053228378296
95th percentile: 2.0926743030548094
99th percentile: 2.0979711627960205
mean time: 1.5785555362701416
Pipeline stage StressChecker completed in 9.25s
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 0.67s
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 0.63s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v508 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service mistralai-mistral-nem-93303-v508-profiler
Waiting for inference service mistralai-mistral-nem-93303-v508-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 5613.63s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v508 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v508 status is now torndown due to DeploymentManager action