developer_uid: NischayDnk
submission_id: chaiml-mistral32-24b-sf_16627_v1
model_name: chaiml-mistral32-24b-sf_16627_v1
model_group: ChaiML/mistral32-24b-sft
status: torndown
timestamp: 2025-06-27T21:15:00+00:00
num_battles: 9799
num_wins: 4903
celo_rating: 1283.9
family_friendly_score: 0.5478000000000001
family_friendly_standard_error: 0.007038681126461122
submission_type: basic
model_repo: ChaiML/mistral32-24b-sfts1-exp1-highqualityjun27-s400-lora-4e
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': 0.523969646522166, 'latency_mean': 1.908407083749771, 'latency_p50': 1.902646780014038, 'latency_p90': 2.1211944580078126}, {'batch_size': 3, 'throughput': 1.0556947436402755, 'latency_mean': 2.8400664317607878, 'latency_p50': 2.8501994609832764, 'latency_p90': 3.137403726577759}, {'batch_size': 5, 'throughput': 1.3364611927120125, 'latency_mean': 3.7245214986801147, 'latency_p50': 3.7535072565078735, 'latency_p90': 4.131351780891419}, {'batch_size': 6, 'throughput': 1.4503692646896436, 'latency_mean': 4.112901899814606, 'latency_p50': 4.1072163581848145, 'latency_p90': 4.551757788658142}, {'batch_size': 8, 'throughput': 1.557488013999681, 'latency_mean': 5.098983763456345, 'latency_p50': 5.137883305549622, 'latency_p90': 5.667947268486023}, {'batch_size': 10, 'throughput': 1.6666024914922564, 'latency_mean': 5.934531722068787, 'latency_p50': 5.936928868293762, 'latency_p90': 6.675006985664368}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-mistral32-24b-sf_16627_v1
is_internal_developer: False
language_model: ChaiML/mistral32-24b-sfts1-exp1-highqualityjun27-s400-lora-4e
model_size: 24B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-06-27
win_ratio: 0.5003571793040106
generation_params: {'temperature': 0.45, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_end|>', '\n', '<|im_start|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>{bot_name} {memory}\n', 'prompt_template': '', '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-mistral32-24b-sf-16627-v1-mkmlizer
Waiting for job on chaiml-mistral32-24b-sf-16627-v1-mkmlizer to finish
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ Version: 0.29.3 ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ belonging to: ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ║ ║
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: Downloaded to shared memory in 77.928s
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: Checking if ChaiML/mistral32-24b-sfts1-exp1-highqualityjun27-s400-lora-4e already exists in ChaiML
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjfjga6ic, device:0
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: quantized model in 49.794s
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: Processed model ChaiML/mistral32-24b-sfts1-exp1-highqualityjun27-s400-lora-4e in 127.723s
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral32-24b-sf-16627-v1/config.json
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-24b-sf-16627-v1/special_tokens_map.json
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-24b-sf-16627-v1/tokenizer_config.json
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-24b-sf-16627-v1/tokenizer.json
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral32-24b-sf-16627-v1/flywheel_model.1.safetensors
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral32-24b-sf-16627-v1/flywheel_model.0.safetensors
chaiml-mistral32-24b-sf-16627-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 3/363 [00:00<00:13, 25.72it/s] Loading 0: 2%|▏ | 6/363 [00:00<00:26, 13.38it/s] Loading 0: 3%|▎ | 10/363 [00:00<00:17, 20.11it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:22, 15.70it/s] Loading 0: 4%|▍ | 15/363 [00:00<00:25, 13.69it/s] Loading 0: 5%|▌ | 19/363 [00:01<00:18, 18.57it/s] Loading 0: 6%|▌ | 22/363 [00:01<00:19, 17.12it/s] Loading 0: 7%|▋ | 25/363 [00:01<00:17, 18.81it/s] Loading 0: 9%|▊ | 31/363 [00:01<00:12, 27.64it/s] Loading 0: 10%|▉ | 35/363 [00:01<00:16, 20.44it/s] Loading 0: 10%|█ | 38/363 [00:01<00:15, 20.47it/s] Loading 0: 11%|█▏ | 41/363 [00:02<00:18, 17.72it/s] Loading 0: 13%|█▎ | 46/363 [00:02<00:13, 22.86it/s] Loading 0: 13%|█▎ | 49/363 [00:02<00:12, 24.29it/s] Loading 0: 14%|█▍ | 52/363 [00:02<00:13, 23.84it/s] Loading 0: 16%|█▌ | 57/363 [00:02<00:11, 26.46it/s] Loading 0: 17%|█▋ | 60/363 [00:02<00:13, 23.30it/s] Loading 0: 18%|█▊ | 64/363 [00:03<00:11, 26.28it/s] Loading 0: 19%|█▉ | 69/363 [00:03<00:10, 28.97it/s] Loading 0: 20%|██ | 73/363 [00:03<00:15, 18.57it/s] Loading 0: 21%|██▏ | 78/363 [00:03<00:12, 23.56it/s] Loading 0: 23%|██▎ | 82/363 [00:03<00:12, 22.94it/s] Loading 0: 24%|██▎ | 86/363 [00:03<00:11, 24.96it/s] Loading 0: 25%|██▍ | 89/363 [00:04<00:10, 25.23it/s] Loading 0: 25%|██▌ | 92/363 [00:04<00:13, 20.74it/s] Loading 0: 27%|██▋ | 99/363 [00:04<00:09, 27.54it/s] Loading 0: 28%|██▊ | 103/363 [00:04<00:09, 26.44it/s] Loading 0: 29%|██▉ | 107/363 [00:04<00:11, 22.04it/s] Loading 0: 31%|███ | 111/363 [00:04<00:10, 25.08it/s] Loading 0: 31%|███▏ | 114/363 [00:05<00:10, 23.28it/s] Loading 0: 33%|███▎ | 120/363 [00:05<00:08, 28.03it/s] Loading 0: 34%|███▍ | 124/363 [00:05<00:08, 26.66it/s] Loading 0: 36%|███▌ | 129/363 [00:05<00:08, 28.77it/s] Loading 0: 37%|███▋ | 133/363 [00:05<00:08, 27.24it/s] Loading 0: 38%|███▊ | 138/363 [00:05<00:07, 29.12it/s] Loading 0: 39%|███▉ | 141/363 [00:06<00:08, 26.12it/s] Loading 0: 40%|████ | 147/363 [00:06<00:06, 32.84it/s] Loading 0: 42%|████▏ | 151/363 [00:06<00:08, 24.41it/s] Loading 0: 42%|████▏ | 154/363 [00:06<00:09, 22.80it/s] Loading 0: 43%|████▎ | 157/363 [00:06<00:08, 23.84it/s] Loading 0: 44%|████▍ | 160/363 [00:06<00:08, 24.25it/s] Loading 0: 45%|████▌ | 165/363 [00:07<00:07, 27.22it/s] Loading 0: 46%|████▋ | 168/363 [00:07<00:07, 24.49it/s] Loading 0: 48%|████▊ | 174/363 [00:07<00:06, 29.29it/s] Loading 0: 49%|████▉ | 178/363 [00:07<00:06, 27.81it/s] Loading 0: 50%|█████ | 182/363 [00:07<00:06, 27.95it/s] Loading 0: 52%|█████▏ | 187/363 [00:07<00:07, 24.78it/s] Loading 0: 52%|█████▏ | 190/363 [00:08<00:07, 23.08it/s] Loading 0: 53%|█████▎ | 193/363 [00:08<00:07, 24.09it/s] Loading 0: 54%|█████▍ | 196/363 [00:08<00:06, 24.67it/s] Loading 0: 55%|█████▌ | 200/363 [00:22<00:06, 24.67it/s] Loading 0: 55%|█████▌ | 201/363 [00:22<03:05, 1.14s/it] Loading 0: 56%|█████▌ | 203/363 [00:23<02:33, 1.05it/s] Loading 0: 57%|█████▋ | 208/363 [00:23<01:32, 1.68it/s] Loading 0: 58%|█████▊ | 211/363 [00:23<01:10, 2.15it/s] Loading 0: 59%|█████▉ | 214/363 [00:23<00:52, 2.83it/s] Loading 0: 60%|██████ | 218/363 [00:23<00:35, 4.05it/s] Loading 0: 61%|██████ | 221/363 [00:23<00:27, 5.15it/s] Loading 0: 62%|██████▏ | 224/363 [00:24<00:22, 6.11it/s] Loading 0: 63%|██████▎ | 229/363 [00:24<00:14, 9.01it/s] Loading 0: 64%|██████▍ | 232/363 [00:24<00:12, 10.75it/s] Loading 0: 65%|██████▌ | 237/363 [00:24<00:08, 14.49it/s] Loading 0: 66%|██████▌ | 240/363 [00:24<00:08, 14.93it/s] Loading 0: 67%|██████▋ | 244/363 [00:24<00:06, 18.34it/s] Loading 0: 68%|██████▊ | 247/363 [00:24<00:05, 19.91it/s] Loading 0: 69%|██████▉ | 250/363 [00:25<00:05, 20.37it/s] Loading 0: 70%|██████▉ | 253/363 [00:25<00:04, 22.01it/s] Loading 0: 71%|███████ | 256/363 [00:25<00:04, 23.36it/s] Loading 0: 71%|███████▏ | 259/363 [00:25<00:04, 22.18it/s] Loading 0: 72%|███████▏ | 262/363 [00:25<00:04, 23.96it/s] Loading 0: 74%|███████▎ | 267/363 [00:25<00:04, 21.11it/s] Loading 0: 74%|███████▍ | 270/363 [00:26<00:04, 18.64it/s] Loading 0: 75%|███████▌ | 274/363 [00:26<00:04, 22.16it/s] Loading 0: 76%|███████▋ | 277/363 [00:26<00:03, 23.01it/s] Loading 0: 78%|███████▊ | 282/363 [00:26<00:03, 26.33it/s] Loading 0: 79%|███████▊ | 285/363 [00:26<00:03, 23.50it/s] Loading 0: 80%|████████ | 291/363 [00:26<00:02, 27.96it/s] Loading 0: 81%|████████ | 294/363 [00:26<00:02, 25.20it/s] Loading 0: 82%|████████▏ | 299/363 [00:27<00:02, 27.78it/s] Loading 0: 84%|████████▎ | 304/363 [00:27<00:02, 24.95it/s] Loading 0: 85%|████████▍ | 307/363 [00:27<00:02, 23.03it/s] Loading 0: 85%|████████▌ | 310/363 [00:27<00:02, 24.09it/s] Loading 0: 86%|████████▌ | 313/363 [00:27<00:02, 24.14it/s] Loading 0: 88%|████████▊ | 318/363 [00:27<00:01, 26.69it/s] Loading 0: 88%|████████▊ | 321/363 [00:28<00:01, 24.36it/s] Loading 0: 90%|████████▉ | 325/363 [00:28<00:01, 27.60it/s] Loading 0: 90%|█████████ | 328/363 [00:28<00:01, 27.94it/s] Loading 0: 91%|█████████ | 331/363 [00:28<00:01, 26.75it/s] Loading 0: 92%|█████████▏| 335/363 [00:28<00:01, 27.11it/s] Loading 0: 93%|█████████▎| 338/363 [00:28<00:00, 25.63it/s] Loading 0: 94%|█████████▍| 341/363 [00:29<00:01, 14.61it/s] Loading 0: 96%|█████████▌| 347/363 [00:29<00:00, 20.28it/s] Loading 0: 96%|█████████▋| 350/363 [00:29<00:00, 21.20it/s] Loading 0: 98%|█████████▊| 355/363 [00:29<00:00, 24.76it/s] Loading 0: 99%|█████████▊| 358/363 [00:29<00:00, 23.17it/s]
Job chaiml-mistral32-24b-sf-16627-v1-mkmlizer completed after 156.97s with status: succeeded
Stopping job with name chaiml-mistral32-24b-sf-16627-v1-mkmlizer
Pipeline stage MKMLizer completed in 157.49s
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-mistral32-24b-sf-16627-v1
Waiting for inference service chaiml-mistral32-24b-sf-16627-v1 to be ready
Inference service chaiml-mistral32-24b-sf-16627-v1 ready after 150.5609254837036s
Pipeline stage MKMLDeployer completed in 151.11s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7921316623687744s
Received healthy response to inference request in 1.8611629009246826s
Received healthy response to inference request in 2.078531265258789s
Received healthy response to inference request in 1.8317551612854004s
Received healthy response to inference request in 2.098403215408325s
5 requests
0 failed requests
5th percentile: 1.8376367092132568
10th percentile: 1.8435182571411133
20th percentile: 1.8552813529968262
30th percentile: 1.9046365737915039
40th percentile: 1.9915839195251466
50th percentile: 2.078531265258789
60th percentile: 2.0864800453186034
70th percentile: 2.094428825378418
80th percentile: 2.2371489048004154
90th percentile: 2.514640283584595
95th percentile: 2.653385972976684
99th percentile: 2.7643825244903564
mean time: 2.1323968410491942
Pipeline stage StressChecker completed in 12.32s
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 0.70s
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 0.72s
Shutdown handler de-registered
chaiml-mistral32-24b-sf_16627_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 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-mistral32-24b-sf-16627-v1-profiler
Waiting for inference service chaiml-mistral32-24b-sf-16627-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3340.06s
Shutdown handler de-registered
chaiml-mistral32-24b-sf_16627_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistral32-24b-sf_16627_v1 status is now torndown due to DeploymentManager action