developer_uid: NischayDnk
submission_id: chaiml-mistralnemo-12b-_21875_v1
model_name: chaiml-mistralnemo-12b-_21875_v1
model_group: ChaiML/mistralnemo-12b-s
status: torndown
timestamp: 2025-07-01T05:50:13+00:00
num_battles: 8494
num_wins: 4342
celo_rating: 1296.24
family_friendly_score: 0.5304
family_friendly_standard_error: 0.007057986115033097
submission_type: basic
model_repo: ChaiML/mistralnemo-12b-sfts1-exp1-grok-s700-fullft-2048-lastmsg
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.4780412508483164, 'latency_mean': 2.091718131303787, 'latency_p50': 2.0839531421661377, 'latency_p90': 2.2833482027053833}, {'batch_size': 2, 'throughput': 0.650120324768141, 'latency_mean': 3.064768533706665, 'latency_p50': 3.0773048400878906, 'latency_p90': 3.3232628107070923}, {'batch_size': 3, 'throughput': 0.7567998877808821, 'latency_mean': 3.9565424740314485, 'latency_p50': 3.946754574775696, 'latency_p90': 4.269225978851319}, {'batch_size': 4, 'throughput': 0.8081995026478384, 'latency_mean': 4.926315666437149, 'latency_p50': 4.9755778312683105, 'latency_p90': 5.337071561813354}, {'batch_size': 5, 'throughput': 0.8512891940344381, 'latency_mean': 5.850802984237671, 'latency_p50': 5.870049238204956, 'latency_p90': 6.635850238800049}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-mistralnemo-12b-_21875_v1
is_internal_developer: False
language_model: ChaiML/mistralnemo-12b-sfts1-exp1-grok-s700-fullft-2048-lastmsg
model_size: 13B
ranking_group: single
throughput_3p7s: 0.73
us_pacific_date: 2025-06-30
win_ratio: 0.5111843654344242
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.1, 'frequency_penalty': 0.1, 'stopping_words': ['\n', '<|im_start|>', '<|im_end|>'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>{bot_name}memory: {memory}\n', 'prompt_template': '<|system|>Family Friendly{prompt}\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': True}
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 chaiml-mistralnemo-12b-21875-v1-mkmlizer
Waiting for job on chaiml-mistralnemo-12b-21875-v1-mkmlizer to finish
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ Version: 0.29.3 ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ belonging to: ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ║ ║
chaiml-mistralnemo-12b-21875-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistralnemo-12b-21875-v1-mkmlizer: Downloaded to shared memory in 43.318s
chaiml-mistralnemo-12b-21875-v1-mkmlizer: Checking if ChaiML/mistralnemo-12b-sfts1-exp1-grok-s700-fullft-2048-lastmsg already exists in ChaiML
chaiml-mistralnemo-12b-21875-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpiw8zzkkl, device:0
chaiml-mistralnemo-12b-21875-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistralnemo-12b-21875-v1-mkmlizer: quantized model in 30.698s
chaiml-mistralnemo-12b-21875-v1-mkmlizer: Processed model ChaiML/mistralnemo-12b-sfts1-exp1-grok-s700-fullft-2048-lastmsg in 74.017s
chaiml-mistralnemo-12b-21875-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistralnemo-12b-21875-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistralnemo-12b-21875-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistralnemo-12b-21875-v1
chaiml-mistralnemo-12b-21875-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistralnemo-12b-21875-v1/tokenizer_config.json
chaiml-mistralnemo-12b-21875-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistralnemo-12b-21875-v1/tokenizer.json
chaiml-mistralnemo-12b-21875-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistralnemo-12b-21875-v1/flywheel_model.0.safetensors
chaiml-mistralnemo-12b-21875-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:11, 30.14it/s] Loading 0: 3%|▎ | 12/363 [00:00<00:07, 48.29it/s] Loading 0: 5%|▍ | 18/363 [00:00<00:07, 48.29it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:08, 39.33it/s] Loading 0: 8%|▊ | 30/363 [00:00<00:07, 44.56it/s] Loading 0: 10%|▉ | 35/363 [00:00<00:07, 43.95it/s] Loading 0: 11%|█ | 40/363 [00:00<00:07, 44.27it/s] Loading 0: 13%|█▎ | 46/363 [00:01<00:07, 41.53it/s] Loading 0: 14%|█▍ | 51/363 [00:01<00:07, 41.05it/s] Loading 0: 16%|█▌ | 58/363 [00:01<00:06, 47.80it/s] Loading 0: 17%|█▋ | 63/363 [00:01<00:09, 31.27it/s] Loading 0: 19%|█▉ | 69/363 [00:01<00:08, 32.84it/s] Loading 0: 20%|██ | 73/363 [00:01<00:09, 31.77it/s] Loading 0: 22%|██▏ | 80/363 [00:02<00:07, 39.38it/s] Loading 0: 23%|██▎ | 85/363 [00:02<00:06, 39.88it/s] Loading 0: 25%|██▍ | 90/363 [00:02<00:06, 41.16it/s] Loading 0: 26%|██▌ | 95/363 [00:02<00:06, 42.97it/s] Loading 0: 28%|██▊ | 100/363 [00:02<00:07, 36.21it/s] Loading 0: 29%|██▉ | 106/363 [00:02<00:06, 40.50it/s] Loading 0: 31%|███ | 112/363 [00:02<00:05, 43.90it/s] Loading 0: 32%|███▏ | 117/363 [00:02<00:05, 42.00it/s] Loading 0: 34%|███▎ | 122/363 [00:03<00:05, 43.45it/s] Loading 0: 35%|███▍ | 127/363 [00:03<00:06, 36.10it/s] Loading 0: 37%|███▋ | 134/363 [00:03<00:05, 42.26it/s] Loading 0: 38%|███▊ | 139/363 [00:03<00:05, 41.22it/s] Loading 0: 40%|███▉ | 144/363 [00:03<00:08, 25.98it/s] Loading 0: 41%|████ | 149/363 [00:03<00:07, 28.51it/s] Loading 0: 43%|████▎ | 156/363 [00:04<00:05, 35.50it/s] Loading 0: 44%|████▍ | 161/363 [00:04<00:05, 36.81it/s] Loading 0: 46%|████▌ | 166/363 [00:04<00:05, 38.19it/s] Loading 0: 47%|████▋ | 171/363 [00:04<00:04, 40.41it/s] Loading 0: 48%|████▊ | 176/363 [00:04<00:05, 34.23it/s] Loading 0: 50%|█████ | 183/363 [00:04<00:04, 40.96it/s] Loading 0: 52%|█████▏ | 188/363 [00:04<00:04, 40.56it/s] Loading 0: 53%|█████▎ | 193/363 [00:04<00:04, 40.91it/s] Loading 0: 55%|█████▍ | 198/363 [00:05<00:03, 42.43it/s] Loading 0: 56%|█████▌ | 203/363 [00:05<00:04, 35.52it/s] Loading 0: 58%|█████▊ | 210/363 [00:05<00:03, 42.28it/s] Loading 0: 59%|█████▉ | 215/363 [00:05<00:03, 41.63it/s] Loading 0: 61%|██████ | 220/363 [00:05<00:03, 42.98it/s] Loading 0: 62%|██████▏ | 225/363 [00:05<00:05, 26.60it/s] Loading 0: 63%|██████▎ | 230/363 [00:06<00:04, 28.73it/s] Loading 0: 65%|██████▌ | 237/363 [00:06<00:03, 35.74it/s] Loading 0: 67%|██████▋ | 242/363 [00:06<00:03, 37.21it/s] Loading 0: 68%|██████▊ | 247/363 [00:06<00:03, 38.39it/s] Loading 0: 69%|██████▉ | 252/363 [00:06<00:02, 40.65it/s] Loading 0: 71%|███████ | 257/363 [00:06<00:03, 33.84it/s] Loading 0: 73%|███████▎ | 264/363 [00:06<00:02, 40.38it/s] Loading 0: 74%|███████▍ | 269/363 [00:07<00:02, 40.79it/s] Loading 0: 75%|███████▌ | 274/363 [00:07<00:02, 40.93it/s] Loading 0: 77%|███████▋ | 279/363 [00:07<00:01, 42.64it/s] Loading 0: 78%|███████▊ | 284/363 [00:07<00:02, 35.38it/s] Loading 0: 80%|████████ | 291/363 [00:07<00:01, 42.31it/s] Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 42.54it/s] Loading 0: 83%|████████▎ | 301/363 [00:07<00:01, 43.78it/s] Loading 0: 84%|████████▍ | 306/363 [00:08<00:02, 22.97it/s] Loading 0: 85%|████████▌ | 310/363 [00:08<00:02, 24.31it/s] Loading 0: 87%|████████▋ | 314/363 [00:08<00:01, 26.67it/s] Loading 0: 88%|████████▊ | 320/363 [00:08<00:01, 32.27it/s] Loading 0: 90%|████████▉ | 326/363 [00:08<00:01, 33.91it/s] Loading 0: 91%|█████████ | 330/363 [00:08<00:00, 33.53it/s] Loading 0: 93%|█████████▎| 337/363 [00:09<00:00, 41.45it/s] Loading 0: 94%|█████████▍| 342/363 [00:09<00:00, 41.68it/s] Loading 0: 96%|█████████▌| 347/363 [00:09<00:00, 42.24it/s] Loading 0: 97%|█████████▋| 352/363 [00:09<00:00, 44.01it/s] Loading 0: 98%|█████████▊| 357/363 [00:09<00:00, 37.07it/s]
Job chaiml-mistralnemo-12b-21875-v1-mkmlizer completed after 104.77s with status: succeeded
Stopping job with name chaiml-mistralnemo-12b-21875-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.38s
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 chaiml-mistralnemo-12b-21875-v1
Waiting for inference service chaiml-mistralnemo-12b-21875-v1 to be ready
Inference service chaiml-mistralnemo-12b-21875-v1 ready after 210.84742736816406s
Pipeline stage MKMLDeployer completed in 211.40s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6503520011901855s
Received healthy response to inference request in 2.0374526977539062s
Received healthy response to inference request in 1.6254241466522217s
Received healthy response to inference request in 1.524801254272461s
Received healthy response to inference request in 1.7591068744659424s
5 requests
0 failed requests
5th percentile: 1.544925832748413
10th percentile: 1.5650504112243653
20th percentile: 1.6052995681762696
30th percentile: 1.6521606922149659
40th percentile: 1.705633783340454
50th percentile: 1.7591068744659424
60th percentile: 1.8704452037811279
70th percentile: 1.9817835330963134
80th percentile: 2.1600325584411624
90th percentile: 2.4051922798156737
95th percentile: 2.5277721405029294
99th percentile: 2.6258360290527345
mean time: 1.9194273948669434
Pipeline stage StressChecker completed in 10.93s
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 0.65s
Shutdown handler de-registered
chaiml-mistralnemo-12b-_21875_v1 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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-mistralnemo-12b-21875-v1-profiler
Waiting for inference service chaiml-mistralnemo-12b-21875-v1-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 6029.85s
Shutdown handler de-registered
chaiml-mistralnemo-12b-_21875_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistralnemo-12b-_21875_v1 status is now torndown due to DeploymentManager action