developer_uid: zmeeks
submission_id: mistralai-mistral-nem_93303_v487
model_name: mistralai-mistral-nem_93303_v487
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-06-27T21:09:48+00:00
num_battles: 7327
num_wins: 3296
celo_rating: 1249.41
family_friendly_score: 0.5922000000000001
family_friendly_standard_error: 0.006949808054903387
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
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6029812814959634, 'latency_mean': 1.65832261800766, 'latency_p50': 1.6624003648757935, 'latency_p90': 1.820430326461792}, {'batch_size': 3, 'throughput': 1.0838302169323013, 'latency_mean': 2.762066680192947, 'latency_p50': 2.7632241249084473, 'latency_p90': 3.0376147985458375}, {'batch_size': 5, 'throughput': 1.3031597674774706, 'latency_mean': 3.8216258573532103, 'latency_p50': 3.8060752153396606, 'latency_p90': 4.325996589660645}, {'batch_size': 6, 'throughput': 1.3620233638400232, 'latency_mean': 4.3860097289085385, 'latency_p50': 4.398601174354553, 'latency_p90': 4.9633866310119625}, {'batch_size': 8, 'throughput': 1.4262217845732081, 'latency_mean': 5.573828890323639, 'latency_p50': 5.56928813457489, 'latency_p90': 6.35564603805542}, {'batch_size': 10, 'throughput': 1.4696706491644311, 'latency_mean': 6.747372257709503, 'latency_p50': 6.701604604721069, 'latency_p90': 7.69816255569458}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nem_93303_v487
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-06-27
win_ratio: 0.4498430462672308
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], '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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nem-93303-v487-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v487-mkmlizer to finish
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mistralai-mistral-nem-93303-v487-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v487-mkmlizer: ║ Version: 0.29.3 ║
mistralai-mistral-nem-93303-v487-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
mistralai-mistral-nem-93303-v487-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nem-93303-v487-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nem-93303-v487-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v487-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nem-93303-v487-mkmlizer: ║ belonging to: ║
mistralai-mistral-nem-93303-v487-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v487-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nem-93303-v487-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nem-93303-v487-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
mistralai-mistral-nem-93303-v487-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v487-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v487-mkmlizer: Downloaded to shared memory in 53.153s
mistralai-mistral-nem-93303-v487-mkmlizer: Checking if mistralai/Mistral-Nemo-Instruct-2407 already exists in ChaiML
mistralai-mistral-nem-93303-v487-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpadm0g_ui, device:0
mistralai-mistral-nem-93303-v487-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v487-mkmlizer: quantized model in 35.861s
mistralai-mistral-nem-93303-v487-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 89.089s
mistralai-mistral-nem-93303-v487-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v487-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v487-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v487
mistralai-mistral-nem-93303-v487-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v487/config.json
mistralai-mistral-nem-93303-v487-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v487/special_tokens_map.json
mistralai-mistral-nem-93303-v487-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v487/tokenizer_config.json
mistralai-mistral-nem-93303-v487-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v487/tokenizer.json
mistralai-mistral-nem-93303-v487-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v487/flywheel_model.0.safetensors
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Job mistralai-mistral-nem-93303-v487-mkmlizer completed after 116.04s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v487-mkmlizer
Pipeline stage MKMLizer completed in 116.68s
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Pipeline stage MKMLTemplater completed in 0.19s
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Creating inference service mistralai-mistral-nem-93303-v487
Waiting for inference service mistralai-mistral-nem-93303-v487 to be ready
Inference service mistralai-mistral-nem-93303-v487 ready after 151.0383231639862s
Pipeline stage MKMLDeployer completed in 152.08s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.519784927368164s
Received healthy response to inference request in 1.7799913883209229s
Received healthy response to inference request in 1.5904345512390137s
Received healthy response to inference request in 1.5616686344146729s
Received healthy response to inference request in 1.6303291320800781s
5 requests
0 failed requests
5th percentile: 1.567421817779541
10th percentile: 1.5731750011444092
20th percentile: 1.5846813678741456
30th percentile: 1.5984134674072266
40th percentile: 1.6143712997436523
50th percentile: 1.6303291320800781
60th percentile: 1.690194034576416
70th percentile: 1.750058937072754
80th percentile: 1.9279500961303713
90th percentile: 2.2238675117492677
95th percentile: 2.3718262195587156
99th percentile: 2.4901931858062745
mean time: 1.8164417266845703
Pipeline stage StressChecker completed in 10.62s
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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 0.64s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5484.77s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v487 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v487 status is now torndown due to DeploymentManager action