chaiml-llama-8b-nis-800_62683

developer_uid: NischayDnk
submission_id: chaiml-llama-8b-nis-800_62683_v2
model_name: chaiml-llama-8b-nis-800_62683_v2
model_group: ChaiML/llama_8b_nis_800k
status: torndown
timestamp: 2025-07-06T20:36:47+00:00
num_battles: 12345
num_wins: 6163
celo_rating: 1286.57
family_friendly_score: 0.5329999999999999
family_friendly_standard_error: 0.007055650218087628
submission_type: basic
model_repo: ChaiML/llama_8b_nis_800ksamp_512seq_200mpret_bestep_572acc
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 512
max_output_tokens: 1
reward_model: default
display_name: chaiml-llama-8b-nis-800_62683_v2
ineligible_reason: max_output_tokens!=64
is_internal_developer: False
language_model: ChaiML/llama_8b_nis_800ksamp_512seq_200mpret_bestep_572acc
model_size: 8B
ranking_group: single
us_pacific_date: 2025-07-06
win_ratio: 0.49923045767517216
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': 512, 'best_of': 1, 'max_output_tokens': 1}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '', '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-llama-8b-nis-800-62683-v2-mkmlizer
Waiting for job on chaiml-llama-8b-nis-800-62683-v2-mkmlizer to finish
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║                                                                     ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║                                                                     ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║                                                                     ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║                                                                     ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ║                                                                     ║
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: Downloaded to shared memory in 24.665s
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: Checking if ChaiML/llama_8b_nis_800ksamp_512seq_200mpret_bestep_572acc already exists in ChaiML
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpgc7ng4rb, device:0
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: quantized model in 20.256s
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: Processed model ChaiML/llama_8b_nis_800ksamp_512seq_200mpret_bestep_572acc in 44.922s
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-llama-8b-nis-800-62683-v2/nvidia
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-llama-8b-nis-800-62683-v2/nvidia/config.json
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-llama-8b-nis-800-62683-v2/nvidia/special_tokens_map.json
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-llama-8b-nis-800-62683-v2/nvidia/tokenizer_config.json
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-llama-8b-nis-800-62683-v2/nvidia/tokenizer.json
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-llama-8b-nis-800-62683-v2/nvidia/flywheel_model.0.safetensors
chaiml-llama-8b-nis-800-62683-v2-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:07, 40.78it/s]
Loading 0:   4%|▍         | 12/291 [00:00<00:05, 55.23it/s]
Loading 0:   6%|▌         | 18/291 [00:00<00:05, 53.44it/s]
Loading 0:   8%|▊         | 24/291 [00:00<00:06, 41.54it/s]
Loading 0:  10%|█         | 30/291 [00:00<00:05, 46.09it/s]
Loading 0:  12%|█▏        | 35/291 [00:00<00:05, 45.56it/s]
Loading 0:  14%|█▎        | 40/291 [00:00<00:05, 46.06it/s]
Loading 0:  16%|█▌        | 46/291 [00:01<00:05, 41.64it/s]
Loading 0:  18%|█▊        | 51/291 [00:01<00:06, 39.83it/s]
Loading 0:  20%|█▉        | 57/291 [00:01<00:05, 44.79it/s]
Loading 0:  21%|██▏       | 62/291 [00:01<00:05, 43.95it/s]
Loading 0:  23%|██▎       | 67/291 [00:01<00:05, 44.80it/s]
Loading 0:  25%|██▍       | 72/291 [00:01<00:04, 45.06it/s]
Loading 0:  26%|██▋       | 77/291 [00:01<00:06, 35.29it/s]
Loading 0:  29%|██▊       | 83/291 [00:02<00:07, 28.65it/s]
Loading 0:  30%|██▉       | 87/291 [00:02<00:06, 29.71it/s]
Loading 0:  32%|███▏      | 93/291 [00:02<00:05, 35.46it/s]
Loading 0:  34%|███▎      | 98/291 [00:02<00:05, 37.98it/s]
Loading 0:  35%|███▌      | 103/291 [00:02<00:04, 39.37it/s]
Loading 0:  37%|███▋      | 108/291 [00:02<00:04, 41.09it/s]
Loading 0:  39%|███▉      | 113/291 [00:02<00:05, 35.19it/s]
Loading 0:  41%|████      | 120/291 [00:02<00:03, 42.89it/s]
Loading 0:  43%|████▎     | 125/291 [00:03<00:03, 43.46it/s]
Loading 0:  45%|████▍     | 130/291 [00:03<00:03, 43.22it/s]
Loading 0:  46%|████▋     | 135/291 [00:03<00:03, 43.67it/s]
Loading 0:  48%|████▊     | 140/291 [00:03<00:04, 34.83it/s]
Loading 0:  51%|█████     | 148/291 [00:03<00:03, 43.61it/s]
Loading 0:  53%|█████▎    | 154/291 [00:03<00:03, 40.30it/s]
Loading 0:  55%|█████▍    | 159/291 [00:03<00:03, 39.93it/s]
Loading 0:  57%|█████▋    | 165/291 [00:04<00:02, 43.67it/s]
Loading 0:  58%|█████▊    | 170/291 [00:04<00:02, 41.96it/s]
Loading 0:  60%|██████    | 175/291 [00:04<00:02, 43.40it/s]
Loading 0:  62%|██████▏   | 180/291 [00:04<00:02, 42.65it/s]
Loading 0:  64%|██████▍   | 186/291 [00:04<00:02, 40.76it/s]
Loading 0:  66%|██████▌   | 191/291 [00:04<00:03, 28.17it/s]
Loading 0:  67%|██████▋   | 195/291 [00:05<00:03, 28.42it/s]
Loading 0:  69%|██████▉   | 201/291 [00:05<00:02, 34.16it/s]
Loading 0:  70%|███████   | 205/291 [00:05<00:02, 34.17it/s]
Loading 0:  72%|███████▏  | 210/291 [00:05<00:02, 37.29it/s]
Loading 0:  74%|███████▍  | 215/291 [00:05<00:01, 38.20it/s]
Loading 0:  76%|███████▌  | 220/291 [00:05<00:01, 39.12it/s]
Loading 0:  77%|███████▋  | 225/291 [00:05<00:01, 41.45it/s]
Loading 0:  79%|███████▉  | 230/291 [00:05<00:01, 34.58it/s]
Loading 0:  81%|████████▏ | 237/291 [00:06<00:01, 41.85it/s]
Loading 0:  83%|████████▎ | 242/291 [00:06<00:01, 41.87it/s]
Loading 0:  85%|████████▍ | 247/291 [00:06<00:01, 41.84it/s]
Loading 0:  87%|████████▋ | 252/291 [00:06<00:00, 43.23it/s]
Loading 0:  88%|████████▊ | 257/291 [00:06<00:00, 36.34it/s]
Loading 0:  91%|█████████ | 264/291 [00:06<00:00, 44.17it/s]
Loading 0:  92%|█████████▏| 269/291 [00:06<00:00, 43.64it/s]
Loading 0:  94%|█████████▍| 274/291 [00:06<00:00, 43.27it/s]
Loading 0:  96%|█████████▌| 279/291 [00:06<00:00, 43.91it/s]
Loading 0:  98%|█████████▊| 284/291 [00:07<00:00, 36.10it/s]
Loading 0:  99%|█████████▉| 288/291 [00:07<00:00, 24.35it/s]
                                                            
Job chaiml-llama-8b-nis-800-62683-v2-mkmlizer completed after 74.6s with status: succeeded
Stopping job with name chaiml-llama-8b-nis-800-62683-v2-mkmlizer
Pipeline stage MKMLizer completed in 75.15s
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 chaiml-llama-8b-nis-800-62683-v2
Waiting for inference service chaiml-llama-8b-nis-800-62683-v2 to be ready
Inference service chaiml-llama-8b-nis-800-62683-v2 ready after 210.9812080860138s
Pipeline stage MKMLDeployer completed in 211.48s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 8.507701635360718s
Received healthy response to inference request in 3.3087477684020996s
Received healthy response to inference request in 2.342421770095825s
Received healthy response to inference request in 6.110507249832153s
Received healthy response to inference request in 5.613657236099243s
5 requests
0 failed requests
5th percentile: 2.53568696975708
10th percentile: 2.728952169418335
20th percentile: 3.1154825687408447
30th percentile: 3.769729661941528
40th percentile: 4.691693449020386
50th percentile: 5.613657236099243
60th percentile: 5.812397241592407
70th percentile: 6.011137247085571
80th percentile: 6.589946126937867
90th percentile: 7.548823881149293
95th percentile: 8.028262758255005
99th percentile: 8.411813859939576
mean time: 5.176607131958008
%s, retrying in %s seconds...
Received healthy response to inference request in 5.1301891803741455s
Received healthy response to inference request in 2.2680418491363525s
Received healthy response to inference request in 3.1326637268066406s
Received healthy response to inference request in 4.076817274093628s
Received healthy response to inference request in 2.872849464416504s
5 requests
0 failed requests
5th percentile: 2.389003372192383
10th percentile: 2.5099648952484133
20th percentile: 2.7518879413604735
30th percentile: 2.9248123168945312
40th percentile: 3.028738021850586
50th percentile: 3.1326637268066406
60th percentile: 3.5103251457214353
70th percentile: 3.8879865646362304
80th percentile: 4.287491655349732
90th percentile: 4.708840417861938
95th percentile: 4.9195147991180415
99th percentile: 5.088054304122925
mean time: 3.4961122989654543
Pipeline stage StressChecker completed in 46.01s
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 0.69s
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 0.79s
Shutdown handler de-registered
chaiml-llama-8b-nis-800_62683_v2 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 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-llama-8b-nis-800-62683-v2-profiler
Waiting for inference service chaiml-llama-8b-nis-800-62683-v2-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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 3800.38s
Shutdown handler de-registered
chaiml-llama-8b-nis-800_62683_v2 status is now inactive due to auto deactivation removed underperforming models
chaiml-llama-8b-nis-800_62683_v2 status is now torndown due to DeploymentManager action