developer_uid: leosheng
submission_id: leosheng-no-repeat-writ_60066_v2
model_name: leosheng-no-repeat-writ_60066_v2
model_group: leosheng/no-repeat-write
status: torndown
timestamp: 2025-01-24T04:41:20+00:00
num_battles: 6221
num_wins: 2712
celo_rating: 1199.05
family_friendly_score: 0.5906
family_friendly_standard_error: 0.006954015243008891
submission_type: basic
model_repo: leosheng/no-repeat-write-reason
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: leosheng-no-repeat-writ_60066_v2
is_internal_developer: False
language_model: leosheng/no-repeat-write-reason
model_size: 8B
ranking_group: single
us_pacific_date: 2025-01-23
win_ratio: 0.4359427744735573
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 leosheng-no-repeat-writ-60066-v2-mkmlizer
Waiting for job on leosheng-no-repeat-writ-60066-v2-mkmlizer to finish
leosheng-no-repeat-writ-60066-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ _____ __ __ ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ /___/ ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ Version: 0.11.12 ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ https://mk1.ai ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ The license key for the current software has been verified as ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ belonging to: ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ Chai Research Corp. ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ║ ║
leosheng-no-repeat-writ-60066-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
leosheng-no-repeat-writ-60066-v2-mkmlizer: Downloaded to shared memory in 24.393s
leosheng-no-repeat-writ-60066-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdjd0ua9q, device:0
leosheng-no-repeat-writ-60066-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
leosheng-no-repeat-writ-60066-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/mk1/flywheel/functional/loader.py:55: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
leosheng-no-repeat-writ-60066-v2-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
leosheng-no-repeat-writ-60066-v2-mkmlizer: quantized model in 26.206s
leosheng-no-repeat-writ-60066-v2-mkmlizer: Processed model leosheng/no-repeat-write-reason in 50.600s
leosheng-no-repeat-writ-60066-v2-mkmlizer: creating bucket guanaco-mkml-models
leosheng-no-repeat-writ-60066-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
leosheng-no-repeat-writ-60066-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/leosheng-no-repeat-writ-60066-v2
leosheng-no-repeat-writ-60066-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/leosheng-no-repeat-writ-60066-v2/config.json
leosheng-no-repeat-writ-60066-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/leosheng-no-repeat-writ-60066-v2/special_tokens_map.json
leosheng-no-repeat-writ-60066-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/leosheng-no-repeat-writ-60066-v2/tokenizer_config.json
leosheng-no-repeat-writ-60066-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/leosheng-no-repeat-writ-60066-v2/tokenizer.json
leosheng-no-repeat-writ-60066-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/leosheng-no-repeat-writ-60066-v2/flywheel_model.0.safetensors
leosheng-no-repeat-writ-60066-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 7/291 [00:00<00:05, 51.17it/s] Loading 0: 5%|▌ | 16/291 [00:00<00:04, 67.76it/s] Loading 0: 9%|▊ | 25/291 [00:00<00:03, 70.28it/s] Loading 0: 12%|█▏ | 34/291 [00:00<00:03, 72.90it/s] Loading 0: 15%|█▍ | 43/291 [00:00<00:03, 74.60it/s] Loading 0: 18%|█▊ | 52/291 [00:00<00:03, 77.92it/s] Loading 0: 21%|██ | 61/291 [00:00<00:02, 80.72it/s] Loading 0: 24%|██▍ | 70/291 [00:00<00:02, 82.72it/s] Loading 0: 27%|██▋ | 79/291 [00:01<00:02, 82.52it/s] Loading 0: 30%|███ | 88/291 [00:02<00:09, 20.69it/s] Loading 0: 33%|███▎ | 97/291 [00:02<00:07, 26.87it/s] Loading 0: 36%|███▋ | 106/291 [00:02<00:05, 33.83it/s] Loading 0: 40%|███▉ | 115/291 [00:02<00:04, 40.30it/s] Loading 0: 43%|████▎ | 124/291 [00:02<00:03, 47.90it/s] Loading 0: 46%|████▌ | 133/291 [00:02<00:02, 55.55it/s] Loading 0: 49%|████▉ | 142/291 [00:02<00:02, 62.47it/s] Loading 0: 52%|█████▏ | 151/291 [00:02<00:02, 65.94it/s] Loading 0: 55%|█████▍ | 160/291 [00:03<00:02, 65.12it/s] Loading 0: 58%|█████▊ | 169/291 [00:03<00:01, 69.19it/s] Loading 0: 61%|██████ | 178/291 [00:03<00:01, 72.54it/s] Loading 0: 64%|██████▍ | 187/291 [00:04<00:05, 20.76it/s] Loading 0: 67%|██████▋ | 196/291 [00:04<00:03, 26.70it/s] Loading 0: 70%|███████ | 205/291 [00:04<00:02, 33.37it/s] Loading 0: 74%|███████▎ | 214/291 [00:04<00:01, 41.00it/s] Loading 0: 77%|███████▋ | 223/291 [00:04<00:01, 47.81it/s] Loading 0: 80%|███████▉ | 232/291 [00:05<00:01, 51.54it/s] Loading 0: 83%|████████▎ | 241/291 [00:05<00:00, 58.65it/s] Loading 0: 86%|████████▌ | 250/291 [00:05<00:00, 65.08it/s] Loading 0: 89%|████████▉ | 259/291 [00:05<00:00, 70.37it/s] Loading 0: 92%|█████████▏| 268/291 [00:05<00:00, 72.81it/s] Loading 0: 95%|█████████▌| 277/291 [00:05<00:00, 72.41it/s] Loading 0: 98%|█████████▊| 286/291 [00:05<00:00, 75.89it/s]
Job leosheng-no-repeat-writ-60066-v2-mkmlizer completed after 73.97s with status: succeeded
Stopping job with name leosheng-no-repeat-writ-60066-v2-mkmlizer
Pipeline stage MKMLizer completed in 74.42s
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 leosheng-no-repeat-writ-60066-v2
Waiting for inference service leosheng-no-repeat-writ-60066-v2 to be ready
Inference service leosheng-no-repeat-writ-60066-v2 ready after 150.52339839935303s
Pipeline stage MKMLDeployer completed in 151.05s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.6751127243041992s
Received healthy response to inference request in 1.483961820602417s
Received healthy response to inference request in 1.2287580966949463s
Received healthy response to inference request in 1.1725895404815674s
Received healthy response to inference request in 1.4406321048736572s
5 requests
0 failed requests
5th percentile: 1.183823251724243
10th percentile: 1.195056962966919
20th percentile: 1.2175243854522706
30th percentile: 1.2711328983306884
40th percentile: 1.355882501602173
50th percentile: 1.4406321048736572
60th percentile: 1.4579639911651612
70th percentile: 1.4752958774566651
80th percentile: 1.5221920013427734
90th percentile: 1.5986523628234863
95th percentile: 1.6368825435638428
99th percentile: 1.667466688156128
mean time: 1.4002108573913574
Pipeline stage StressChecker completed in 8.33s
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 0.75s
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
leosheng-no-repeat-writ_60066_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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service leosheng-no-repeat-writ-60066-v2-profiler
Waiting for inference service leosheng-no-repeat-writ-60066-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2763.78s
Shutdown handler de-registered
leosheng-no-repeat-writ_60066_v2 status is now inactive due to auto deactivation removed underperforming models
leosheng-no-repeat-writ_60066_v2 status is now torndown due to DeploymentManager action