developer_uid: azuruce
submission_id: nischaydnk-mistral24b-s_10081_v4
model_name: nischaydnk-mistral24b-s_10081_v4
model_group: NischayDnk/mistral24B-sf
status: torndown
timestamp: 2025-02-25T18:23:58+00:00
num_battles: 7277
num_wins: 3716
celo_rating: 1274.53
family_friendly_score: 0.5691999999999999
family_friendly_standard_error: 0.0070030187776415394
submission_type: basic
model_repo: NischayDnk/mistral24B-sft-exp1-chaiv2-fulle2
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 768
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3899620286330688, 'latency_mean': 2.564289059638977, 'latency_p50': 2.5635534524917603, 'latency_p90': 2.841170310974121}, {'batch_size': 3, 'throughput': 0.8121271812065007, 'latency_mean': 3.670370726585388, 'latency_p50': 3.658108115196228, 'latency_p90': 4.07402663230896}, {'batch_size': 5, 'throughput': 1.062262859929447, 'latency_mean': 4.665796214342118, 'latency_p50': 4.671957492828369, 'latency_p90': 5.180233287811279}, {'batch_size': 6, 'throughput': 1.157597451407973, 'latency_mean': 5.142654002904892, 'latency_p50': 5.1131380796432495, 'latency_p90': 5.77273473739624}, {'batch_size': 10, 'throughput': 1.3274215221836934, 'latency_mean': 7.462116601467133, 'latency_p50': 7.452438831329346, 'latency_p90': 8.435227108001708}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: nischaydnk-mistral24b-s_10081_v4
is_internal_developer: False
language_model: NischayDnk/mistral24B-sft-exp1-chaiv2-fulle2
model_size: 24B
ranking_group: single
throughput_3p7s: 0.83
us_pacific_date: 2025-02-25
win_ratio: 0.5106499931290367
generation_params: {'temperature': 0.5, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['\n'], 'max_input_tokens': 768, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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 nischaydnk-mistral24b-s-10081-v4-mkmlizer
Waiting for job on nischaydnk-mistral24b-s-10081-v4-mkmlizer to finish
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║     _____            __           __                                ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║       /___/                                                         ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║                                                                     ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║  Version: 0.12.8                                                    ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║  https://mk1.ai                                                     ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║                                                                     ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║  belonging to:                                                      ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║                                                                     ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║  Chai Research Corp.                                                ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ║                                                                     ║
nischaydnk-mistral24b-s-10081-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nischaydnk-mistral24b-s-10081-v4-mkmlizer: Downloaded to shared memory in 61.500s
nischaydnk-mistral24b-s-10081-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvowqp52l, device:0
nischaydnk-mistral24b-s-10081-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
nischaydnk-mistral24b-s-10081-v4-mkmlizer: quantized model in 55.989s
nischaydnk-mistral24b-s-10081-v4-mkmlizer: Processed model NischayDnk/mistral24B-sft-exp1-chaiv2-fulle2 in 117.490s
nischaydnk-mistral24b-s-10081-v4-mkmlizer: creating bucket guanaco-mkml-models
nischaydnk-mistral24b-s-10081-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nischaydnk-mistral24b-s-10081-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nischaydnk-mistral24b-s-10081-v4
nischaydnk-mistral24b-s-10081-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nischaydnk-mistral24b-s-10081-v4/config.json
nischaydnk-mistral24b-s-10081-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nischaydnk-mistral24b-s-10081-v4/special_tokens_map.json
nischaydnk-mistral24b-s-10081-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nischaydnk-mistral24b-s-10081-v4/tokenizer_config.json
nischaydnk-mistral24b-s-10081-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nischaydnk-mistral24b-s-10081-v4/tokenizer.json
nischaydnk-mistral24b-s-10081-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/nischaydnk-mistral24b-s-10081-v4/flywheel_model.1.safetensors
nischaydnk-mistral24b-s-10081-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/nischaydnk-mistral24b-s-10081-v4/flywheel_model.0.safetensors
nischaydnk-mistral24b-s-10081-v4-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:17, 20.27it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:10, 34.89it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:10, 31.88it/s]
Loading 0:   6%|▌         | 21/363 [00:00<00:10, 31.33it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:12, 27.14it/s]
Loading 0:   8%|▊         | 29/363 [00:00<00:11, 29.97it/s]
Loading 0:   9%|▉         | 33/363 [00:01<00:14, 22.26it/s]
Loading 0:  10%|▉         | 36/363 [00:01<00:17, 18.78it/s]
Loading 0:  11%|█         | 40/363 [00:01<00:14, 21.96it/s]
Loading 0:  12%|█▏        | 43/363 [00:01<00:14, 21.62it/s]
Loading 0:  13%|█▎        | 46/363 [00:01<00:13, 22.96it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:12, 24.16it/s]
Loading 0:  14%|█▍        | 52/363 [00:02<00:13, 23.59it/s]
Loading 0:  15%|█▌        | 55/363 [00:02<00:12, 24.67it/s]
Loading 0:  16%|█▌        | 58/363 [00:02<00:11, 25.63it/s]
Loading 0:  17%|█▋        | 61/363 [00:02<00:12, 24.47it/s]
Loading 0:  18%|█▊        | 64/363 [00:02<00:11, 25.51it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:10, 27.19it/s]
Loading 0:  20%|█▉        | 72/363 [00:03<00:15, 18.81it/s]
Loading 0:  21%|██        | 75/363 [00:03<00:14, 19.54it/s]
Loading 0:  22%|██▏       | 79/363 [00:03<00:13, 21.53it/s]
Loading 0:  23%|██▎       | 82/363 [00:03<00:13, 21.37it/s]
Loading 0:  24%|██▎       | 86/363 [00:03<00:11, 23.12it/s]
Loading 0:  25%|██▍       | 89/363 [00:03<00:11, 24.07it/s]
Loading 0:  25%|██▌       | 92/363 [00:03<00:13, 19.79it/s]
Loading 0:  27%|██▋       | 99/363 [00:04<00:09, 27.86it/s]
Loading 0:  28%|██▊       | 103/363 [00:04<00:09, 26.45it/s]
Loading 0:  29%|██▉       | 107/363 [00:04<00:10, 23.44it/s]
Loading 0:  31%|███       | 112/363 [00:04<00:09, 26.29it/s]
Loading 0:  32%|███▏      | 115/363 [00:04<00:09, 25.90it/s]
Loading 0:  33%|███▎      | 120/363 [00:04<00:08, 28.49it/s]
Loading 0:  34%|███▍      | 123/363 [00:05<00:09, 25.58it/s]
Loading 0:  36%|███▌      | 129/363 [00:05<00:07, 30.67it/s]
Loading 0:  37%|███▋      | 133/363 [00:05<00:08, 27.77it/s]
Loading 0:  37%|███▋      | 136/363 [00:05<00:08, 28.00it/s]
Loading 0:  38%|███▊      | 139/363 [00:05<00:08, 27.33it/s]
Loading 0:  39%|███▉      | 142/363 [00:05<00:08, 24.56it/s]
Loading 0:  40%|████      | 146/363 [00:05<00:07, 27.96it/s]
Loading 0:  41%|████▏     | 150/363 [00:06<00:09, 22.40it/s]
Loading 0:  42%|████▏     | 153/363 [00:06<00:11, 18.30it/s]
Loading 0:  43%|████▎     | 157/363 [00:06<00:09, 21.98it/s]
Loading 0:  44%|████▍     | 160/363 [00:06<00:09, 21.71it/s]
Loading 0:  45%|████▍     | 163/363 [00:06<00:08, 22.32it/s]
Loading 0:  46%|████▌     | 166/363 [00:06<00:08, 23.29it/s]
Loading 0:  47%|████▋     | 169/363 [00:06<00:08, 23.05it/s]
Loading 0:  47%|████▋     | 172/363 [00:07<00:07, 24.38it/s]
Loading 0:  48%|████▊     | 175/363 [00:07<00:07, 24.58it/s]
Loading 0:  49%|████▉     | 178/363 [00:07<00:07, 23.57it/s]
Loading 0:  50%|████▉     | 181/363 [00:07<00:07, 25.10it/s]
Loading 0:  51%|█████     | 186/363 [00:07<00:06, 25.97it/s]
Loading 0:  52%|█████▏    | 189/363 [00:07<00:10, 16.29it/s]
Loading 0:  53%|█████▎    | 193/363 [00:08<00:08, 19.80it/s]
Loading 0:  54%|█████▍    | 196/363 [00:08<00:08, 20.07it/s]
Loading 0:  55%|█████▍    | 199/363 [00:08<00:07, 21.61it/s]
Loading 0:  55%|█████▌    | 200/363 [00:23<00:07, 21.61it/s]
Loading 0:  55%|█████▌    | 201/363 [00:23<04:13,  1.57s/it]
Loading 0:  56%|█████▌    | 203/363 [00:23<03:18,  1.24s/it]
Loading 0:  57%|█████▋    | 208/363 [00:23<01:47,  1.44it/s]
Loading 0:  58%|█████▊    | 211/363 [00:23<01:19,  1.92it/s]
Loading 0:  59%|█████▉    | 214/363 [00:23<00:57,  2.59it/s]
Loading 0:  60%|█████▉    | 217/363 [00:24<00:41,  3.50it/s]
Loading 0:  61%|██████    | 220/363 [00:24<00:31,  4.49it/s]
Loading 0:  61%|██████▏   | 223/363 [00:24<00:23,  5.97it/s]
Loading 0:  62%|██████▏   | 226/363 [00:24<00:19,  7.09it/s]
Loading 0:  63%|██████▎   | 229/363 [00:24<00:14,  9.16it/s]
Loading 0:  64%|██████▍   | 232/363 [00:24<00:11, 11.12it/s]
Loading 0:  65%|██████▍   | 235/363 [00:24<00:09, 13.46it/s]
Loading 0:  66%|██████▌   | 238/363 [00:25<00:07, 15.90it/s]
Loading 0:  66%|██████▋   | 241/363 [00:25<00:07, 17.32it/s]
Loading 0:  67%|██████▋   | 245/363 [00:25<00:05, 21.80it/s]
Loading 0:  68%|██████▊   | 248/363 [00:25<00:06, 17.77it/s]
Loading 0:  70%|██████▉   | 253/363 [00:25<00:04, 23.55it/s]
Loading 0:  71%|███████   | 257/363 [00:25<00:05, 20.30it/s]
Loading 0:  72%|███████▏  | 262/363 [00:26<00:04, 24.94it/s]
Loading 0:  73%|███████▎  | 266/363 [00:26<00:03, 27.13it/s]
Loading 0:  74%|███████▍  | 270/363 [00:26<00:05, 17.14it/s]
Loading 0:  75%|███████▌  | 274/363 [00:26<00:04, 20.45it/s]
Loading 0:  76%|███████▋  | 277/363 [00:26<00:03, 21.50it/s]
Loading 0:  78%|███████▊  | 282/363 [00:26<00:03, 25.05it/s]
Loading 0:  79%|███████▉  | 286/363 [00:27<00:03, 25.00it/s]
Loading 0:  80%|████████  | 291/363 [00:27<00:02, 27.44it/s]
Loading 0:  81%|████████▏ | 295/363 [00:27<00:02, 26.00it/s]
Loading 0:  82%|████████▏ | 299/363 [00:27<00:02, 26.47it/s]
Loading 0:  84%|████████▎ | 304/363 [00:27<00:02, 24.56it/s]
Loading 0:  85%|████████▍ | 307/363 [00:27<00:02, 22.58it/s]
Loading 0:  85%|████████▌ | 310/363 [00:28<00:02, 23.74it/s]
Loading 0:  86%|████████▌ | 313/363 [00:28<00:02, 24.37it/s]
Loading 0:  88%|████████▊ | 318/363 [00:28<00:01, 27.33it/s]
Loading 0:  88%|████████▊ | 321/363 [00:28<00:01, 24.93it/s]
Loading 0:  90%|█████████ | 327/363 [00:28<00:01, 30.35it/s]
Loading 0:  91%|█████████ | 331/363 [00:28<00:01, 27.62it/s]
Loading 0:  92%|█████████▏| 335/363 [00:28<00:01, 27.42it/s]
Loading 0:  93%|█████████▎| 338/363 [00:29<00:00, 25.60it/s]
Loading 0:  94%|█████████▍| 341/363 [00:36<00:13,  1.64it/s]
Loading 0:  96%|█████████▌| 347/363 [00:36<00:05,  2.74it/s]
Loading 0:  96%|█████████▋| 350/363 [00:36<00:03,  3.45it/s]
Loading 0:  98%|█████████▊| 355/363 [00:36<00:01,  5.11it/s]
Loading 0:  99%|█████████▉| 359/363 [00:36<00:00,  6.58it/s]
                                                            

Job nischaydnk-mistral24b-s-10081-v4-mkmlizer completed after 145.39s with status: succeeded
Stopping job with name nischaydnk-mistral24b-s-10081-v4-mkmlizer
Pipeline stage MKMLizer completed in 145.85s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service nischaydnk-mistral24b-s-10081-v4
Waiting for inference service nischaydnk-mistral24b-s-10081-v4 to be ready
Inference service nischaydnk-mistral24b-s-10081-v4 ready after 260.98385405540466s
Pipeline stage MKMLDeployer completed in 261.40s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.3919785022735596s
Received healthy response to inference request in 2.7765090465545654s
Received healthy response to inference request in 2.4795870780944824s
Received healthy response to inference request in 2.8618853092193604s
Received healthy response to inference request in 2.770343542098999s
5 requests
0 failed requests
5th percentile: 2.5377383708953856
10th percentile: 2.595889663696289
20th percentile: 2.712192249298096
30th percentile: 2.7715766429901123
40th percentile: 2.774042844772339
50th percentile: 2.7765090465545654
60th percentile: 2.8106595516204833
70th percentile: 2.844810056686401
80th percentile: 2.9679039478302003
90th percentile: 3.1799412250518797
95th percentile: 3.2859598636627196
99th percentile: 3.3707747745513914
mean time: 2.8560606956481935
Pipeline stage StressChecker completed in 15.48s
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 0.63s
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 0.68s
Shutdown handler de-registered
nischaydnk-mistral24b-s_10081_v4 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
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 5032.59s
Shutdown handler de-registered
nischaydnk-mistral24b-s_10081_v4 status is now inactive due to auto deactivation removed underperforming models
nischaydnk-mistral24b-s_10081_v4 status is now torndown due to DeploymentManager action