submission_id: aetherresearch-cerebrum-_6186_v1
developer_uid: alexdaoud
status: inactive
model_repo: AetherResearch/Cerebrum-1.0-7b
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>'], 'max_input_tokens': 512, 'best_of': 16, '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}:'}
reward_formatter: {'memory_template': "<s>{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:'}
timestamp: 2024-03-21T00:15:25+00:00
model_name: aetherresearch-cerebrum-_6186_v1
model_eval_status: success
safety_score: 0.65
entertaining: 6.78
stay_in_character: 7.98
user_preference: 6.86
double_thumbs_up: 654
thumbs_up: 1080
thumbs_down: 628
num_battles: 67578
num_wins: 33883
win_ratio: 0.5013909852318802
celo_rating: 1158.21
Resubmit model
Running pipeline stage MKMLizer
Starting job with name aetherresearch-cerebrum-6186-v1-mkmlizer
Waiting for job on aetherresearch-cerebrum-6186-v1-mkmlizer to finish
aetherresearch-cerebrum-6186-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ _____ __ __ ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ /___/ ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ Version: 0.6.11 ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ The license key for the current software has been verified as ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ belonging to: ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ Chai Research Corp. ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ║ ║
aetherresearch-cerebrum-6186-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
aetherresearch-cerebrum-6186-v1-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 19.2MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: README.md: 0%| | 0.00/3.63k [00:00<?, ?B/s] README.md: 100%|██████████| 3.63k/3.63k [00:00<00:00, 57.8MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: benchmarking.png: 0%| | 0.00/14.5k [00:00<?, ?B/s] benchmarking.png: 100%|██████████| 14.5k/14.5k [00:00<00:00, 138MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: benchmarking_table.png: 0%| | 0.00/25.8k [00:00<?, ?B/s] benchmarking_table.png: 100%|██████████| 25.8k/25.8k [00:00<00:00, 230MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: config.json: 0%| | 0.00/651 [00:00<?, ?B/s] config.json: 100%|██████████| 651/651 [00:00<00:00, 10.7MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: generation_config.json: 0%| | 0.00/116 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 116/116 [00:00<00:00, 886kB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: model-00001-of-00003.safetensors: 0%| | 0.00/4.94G [00:00<?, ?B/s] model-00001-of-00003.safetensors: 0%| | 10.5M/4.94G [00:00<01:39, 49.6MB/s] model-00001-of-00003.safetensors: 0%| | 21.0M/4.94G [00:00<02:02, 40.3MB/s] model-00001-of-00003.safetensors: 3%|▎ | 157M/4.94G [00:00<00:13, 354MB/s] model-00001-of-00003.safetensors: 7%|▋ | 336M/4.94G [00:00<00:06, 667MB/s] model-00001-of-00003.safetensors: 10%|▉ | 472M/4.94G [00:00<00:05, 825MB/s] model-00001-of-00003.safetensors: 13%|█▎ | 629M/4.94G [00:00<00:04, 1.01GB/s] model-00001-of-00003.safetensors: 15%|█▌ | 755M/4.94G [00:01<00:03, 1.05GB/s] model-00001-of-00003.safetensors: 18%|█▊ | 902M/4.94G [00:01<00:03, 1.15GB/s] model-00001-of-00003.safetensors: 21%|██ | 1.04G/4.94G [00:01<00:03, 1.19GB/s] model-00001-of-00003.safetensors: 24%|██▍ | 1.20G/4.94G [00:01<00:02, 1.28GB/s] model-00001-of-00003.safetensors: 27%|██▋ | 1.34G/4.94G [00:01<00:02, 1.27GB/s] model-00001-of-00003.safetensors: 31%|███ | 1.51G/4.94G [00:01<00:02, 1.34GB/s] model-00001-of-00003.safetensors: 34%|███▎ | 1.66G/4.94G [00:01<00:02, 1.26GB/s] model-00001-of-00003.safetensors: 36%|███▋ | 1.79G/4.94G [00:01<00:02, 1.25GB/s] model-00001-of-00003.safetensors: 40%|███▉ | 1.97G/4.94G [00:01<00:02, 1.39GB/s] model-00001-of-00003.safetensors: 43%|████▎ | 2.12G/4.94G [00:02<00:02, 1.39GB/s] model-00001-of-00003.safetensors: 46%|████▌ | 2.26G/4.94G [00:02<00:02, 1.25GB/s] model-00001-of-00003.safetensors: 49%|████▊ | 2.40G/4.94G [00:02<00:02, 1.12GB/s] model-00001-of-00003.safetensors: 51%|█████ | 2.53G/4.94G [00:02<00:03, 678MB/s] model-00001-of-00003.safetensors: 71%|███████ | 3.50G/4.94G [00:02<00:00, 2.17GB/s] model-00001-of-00003.safetensors: 77%|███████▋ | 3.82G/4.94G [00:03<00:00, 1.98GB/s] model-00001-of-00003.safetensors: 83%|████████▎ | 4.09G/4.94G [00:03<00:00, 1.98GB/s] model-00001-of-00003.safetensors: 88%|████████▊ | 4.33G/4.94G [00:04<00:00, 867MB/s] model-00001-of-00003.safetensors: 92%|█████████▏| 4.52G/4.94G [00:04<00:00, 696MB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 4.94G/4.94G [00:04<00:00, 1.08GB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: model-00002-of-00003.safetensors: 0%| | 0.00/5.00G [00:00<?, ?B/s] model-00002-of-00003.safetensors: 0%| | 10.5M/5.00G [00:00<03:07, 26.6MB/s] model-00002-of-00003.safetensors: 3%|▎ | 126M/5.00G [00:00<00:15, 323MB/s] model-00002-of-00003.safetensors: 6%|▌ | 283M/5.00G [00:00<00:07, 652MB/s] model-00002-of-00003.safetensors: 8%|▊ | 419M/5.00G [00:00<00:05, 789MB/s] model-00002-of-00003.safetensors: 10%|█ | 524M/5.00G [00:00<00:05, 841MB/s] model-00002-of-00003.safetensors: 13%|█▎ | 650M/5.00G [00:00<00:04, 922MB/s] model-00002-of-00003.safetensors: 16%|█▌ | 786M/5.00G [00:01<00:04, 1.03GB/s] model-00002-of-00003.safetensors: 18%|█▊ | 902M/5.00G [00:01<00:03, 1.06GB/s] model-00002-of-00003.safetensors: 20%|██ | 1.02G/5.00G [00:01<00:04, 988MB/s] model-00002-of-00003.safetensors: 23%|██▎ | 1.14G/5.00G [00:01<00:03, 1.06GB/s] model-00002-of-00003.safetensors: 25%|██▌ | 1.27G/5.00G [00:01<00:03, 1.11GB/s] model-00002-of-00003.safetensors: 28%|██▊ | 1.41G/5.00G [00:01<00:03, 1.17GB/s] model-00002-of-00003.safetensors: 31%|███ | 1.53G/5.00G [00:01<00:03, 1.13GB/s] model-00002-of-00003.safetensors: 33%|███▎ | 1.66G/5.00G [00:01<00:02, 1.16GB/s] model-00002-of-00003.safetensors: 36%|███▌ | 1.78G/5.00G [00:02<00:03, 950MB/s] model-00002-of-00003.safetensors: 38%|███▊ | 1.89G/5.00G [00:02<00:03, 905MB/s] model-00002-of-00003.safetensors: 41%|████ | 2.03G/5.00G [00:02<00:02, 1.03GB/s] model-00002-of-00003.safetensors: 43%|████▎ | 2.15G/5.00G [00:02<00:03, 861MB/s] model-00002-of-00003.safetensors: 45%|████▍ | 2.24G/5.00G [00:02<00:03, 748MB/s] model-00002-of-00003.safetensors: 50%|████▉ | 2.50G/5.00G [00:02<00:02, 1.13GB/s] model-00002-of-00003.safetensors: 66%|██████▋ | 3.31G/5.00G [00:02<00:00, 2.79GB/s] model-00002-of-00003.safetensors: 73%|███████▎ | 3.65G/5.00G [00:03<00:00, 2.01GB/s] model-00002-of-00003.safetensors: 78%|███████▊ | 3.92G/5.00G [00:03<00:00, 1.87GB/s] model-00002-of-00003.safetensors: 83%|████████▎ | 4.16G/5.00G [00:03<00:00, 1.85GB/s] model-00002-of-00003.safetensors: 88%|████████▊ | 4.39G/5.00G [00:04<00:00, 726MB/s] model-00002-of-00003.safetensors: 91%|█████████ | 4.56G/5.00G [00:04<00:00, 799MB/s] model-00002-of-00003.safetensors: 94%|█████████▍| 4.72G/5.00G [00:04<00:00, 879MB/s] model-00002-of-00003.safetensors: 99%|█████████▊| 4.93G/5.00G [00:04<00:00, 1.05GB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 5.00G/5.00G [00:04<00:00, 1.06GB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: model-00003-of-00003.safetensors: 0%| | 0.00/4.54G [00:00<?, ?B/s] model-00003-of-00003.safetensors: 0%| | 10.5M/4.54G [00:00<03:10, 23.8MB/s] model-00003-of-00003.safetensors: 1%| | 41.9M/4.54G [00:00<01:03, 70.3MB/s] model-00003-of-00003.safetensors: 3%|▎ | 126M/4.54G [00:00<00:19, 226MB/s] model-00003-of-00003.safetensors: 4%|▎ | 168M/4.54G [00:00<00:18, 240MB/s] model-00003-of-00003.safetensors: 5%|▍ | 220M/4.54G [00:01<00:14, 295MB/s] model-00003-of-00003.safetensors: 6%|▌ | 273M/4.54G [00:01<00:12, 348MB/s] model-00003-of-00003.safetensors: 7%|▋ | 325M/4.54G [00:01<00:12, 329MB/s] model-00003-of-00003.safetensors: 9%|▉ | 398M/4.54G [00:01<00:10, 404MB/s] model-00003-of-00003.safetensors: 10%|▉ | 451M/4.54G [00:01<00:10, 382MB/s] model-00003-of-00003.safetensors: 11%|█ | 503M/4.54G [00:01<00:10, 377MB/s] model-00003-of-00003.safetensors: 12%|█▏ | 556M/4.54G [00:01<00:10, 381MB/s] model-00003-of-00003.safetensors: 13%|█▎ | 608M/4.54G [00:02<00:10, 381MB/s] model-00003-of-00003.safetensors: 15%|█▌ | 682M/4.54G [00:02<00:09, 393MB/s] model-00003-of-00003.safetensors: 16%|█▋ | 744M/4.54G [00:02<00:12, 305MB/s] model-00003-of-00003.safetensors: 19%|█▉ | 881M/4.54G [00:02<00:07, 489MB/s] model-00003-of-00003.safetensors: 21%|██▏ | 975M/4.54G [00:02<00:06, 575MB/s] model-00003-of-00003.safetensors: 36%|███▌ | 1.64G/4.54G [00:02<00:01, 1.90GB/s] model-00003-of-00003.safetensors: 43%|████▎ | 1.95G/4.54G [00:02<00:01, 2.18GB/s] model-00003-of-00003.safetensors: 49%|████▊ | 2.21G/4.54G [00:03<00:01, 1.81GB/s] model-00003-of-00003.safetensors: 54%|█████▍ | 2.44G/4.54G [00:03<00:01, 1.44GB/s] model-00003-of-00003.safetensors: 58%|█████▊ | 2.63G/4.54G [00:03<00:01, 1.23GB/s] model-00003-of-00003.safetensors: 61%|██████▏ | 2.79G/4.54G [00:03<00:01, 1.23GB/s] model-00003-of-00003.safetensors: 65%|██████▍ | 2.94G/4.54G [00:03<00:01, 1.12GB/s] model-00003-of-00003.safetensors: 68%|██████▊ | 3.07G/4.54G [00:04<00:01, 1.16GB/s] model-00003-of-00003.safetensors: 71%|███████ | 3.21G/4.54G [00:04<00:01, 1.12GB/s] model-00003-of-00003.safetensors: 74%|███████▍ | 3.38G/4.54G [00:04<00:00, 1.21GB/s] model-00003-of-00003.safetensors: 79%|███████▉ | 3.60G/4.54G [00:04<00:00, 1.45GB/s] model-00003-of-00003.safetensors: 83%|████████▎ | 3.76G/4.54G [00:04<00:00, 1.49GB/s] model-00003-of-00003.safetensors: 87%|████████▋ | 3.93G/4.54G [00:04<00:00, 1.37GB/s] model-00003-of-00003.safetensors: 90%|████████▉ | 4.08G/4.54G [00:04<00:00, 1.38GB/s] model-00003-of-00003.safetensors: 96%|█████████▌| 4.35G/4.54G [00:04<00:00, 1.72GB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:05<00:00, 655MB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 4.54G/4.54G [00:05<00:00, 813MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: model.safetensors.index.json: 0%| | 0.00/23.9k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 23.9k/23.9k [00:00<00:00, 120MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: special_tokens_map.json: 0%| | 0.00/414 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 5.39MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 15.6MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 15.5MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 18.7MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/2.10k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 2.10k/2.10k [00:00<00:00, 31.3MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: Downloaded to shared memory in 17.115s
aetherresearch-cerebrum-6186-v1-mkmlizer: quantizing model to /dev/shm/model_cache
aetherresearch-cerebrum-6186-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
aetherresearch-cerebrum-6186-v1-mkmlizer: Reading /tmp/tmp6i_n0pxh/model.safetensors.index.json
aetherresearch-cerebrum-6186-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:02, 1.25s/it] Profiling: 7%|▋ | 19/291 [00:01<00:14, 19.16it/s] Profiling: 13%|█▎ | 38/291 [00:01<00:06, 40.57it/s] Profiling: 22%|██▏ | 63/291 [00:01<00:03, 72.28it/s] Profiling: 29%|██▊ | 83/291 [00:01<00:02, 94.51it/s] Profiling: 35%|███▌ | 102/291 [00:01<00:02, 83.10it/s] Profiling: 40%|████ | 117/291 [00:02<00:01, 94.70it/s] Profiling: 47%|████▋ | 138/291 [00:02<00:01, 116.86it/s] Profiling: 54%|█████▍ | 157/291 [00:02<00:01, 131.99it/s] Profiling: 61%|██████ | 177/291 [00:02<00:00, 148.02it/s] Profiling: 69%|██████▉ | 201/291 [00:02<00:00, 170.80it/s] Profiling: 76%|███████▌ | 221/291 [00:03<00:01, 38.35it/s] Profiling: 84%|████████▎ | 243/291 [00:04<00:00, 51.98it/s] Profiling: 91%|█████████▏| 266/291 [00:04<00:00, 68.87it/s] Profiling: 99%|█████████▉| 289/291 [00:04<00:00, 88.32it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 65.81it/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: quantized model in 14.269s
aetherresearch-cerebrum-6186-v1-mkmlizer: Processed model AetherResearch/Cerebrum-1.0-7b in 32.225s
aetherresearch-cerebrum-6186-v1-mkmlizer: creating bucket guanaco-mkml-models
aetherresearch-cerebrum-6186-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
aetherresearch-cerebrum-6186-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/aetherresearch-cerebrum-6186-v1
aetherresearch-cerebrum-6186-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/aetherresearch-cerebrum-6186-v1/config.json
aetherresearch-cerebrum-6186-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/aetherresearch-cerebrum-6186-v1/tokenizer_config.json
aetherresearch-cerebrum-6186-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/aetherresearch-cerebrum-6186-v1/tokenizer.model
aetherresearch-cerebrum-6186-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/aetherresearch-cerebrum-6186-v1/special_tokens_map.json
aetherresearch-cerebrum-6186-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/aetherresearch-cerebrum-6186-v1/tokenizer.json
aetherresearch-cerebrum-6186-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/aetherresearch-cerebrum-6186-v1/mkml_model.tensors
aetherresearch-cerebrum-6186-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
aetherresearch-cerebrum-6186-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
aetherresearch-cerebrum-6186-v1-mkmlizer: warnings.warn(
aetherresearch-cerebrum-6186-v1-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 11.1MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
aetherresearch-cerebrum-6186-v1-mkmlizer: warnings.warn(
aetherresearch-cerebrum-6186-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.34MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 10.6MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 16.4MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 16.3MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
aetherresearch-cerebrum-6186-v1-mkmlizer: warnings.warn(
aetherresearch-cerebrum-6186-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:18, 77.6MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:19, 74.9MB/s] pytorch_model.bin: 4%|▎ | 52.4M/1.44G [00:00<00:09, 150MB/s] pytorch_model.bin: 9%|▊ | 126M/1.44G [00:00<00:03, 342MB/s] pytorch_model.bin: 21%|██ | 304M/1.44G [00:00<00:01, 790MB/s] pytorch_model.bin: 46%|████▌ | 661M/1.44G [00:00<00:00, 1.64GB/s] pytorch_model.bin: 58%|█████▊ | 836M/1.44G [00:01<00:01, 469MB/s] pytorch_model.bin: 67%|██████▋ | 962M/1.44G [00:01<00:00, 507MB/s] pytorch_model.bin: 77%|███████▋ | 1.11G/1.44G [00:01<00:00, 619MB/s] pytorch_model.bin: 91%|█████████ | 1.31G/1.44G [00:02<00:00, 811MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 513MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 281MB/s]
aetherresearch-cerebrum-6186-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
aetherresearch-cerebrum-6186-v1-mkmlizer: Saving duration: 0.229s
aetherresearch-cerebrum-6186-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.774s
aetherresearch-cerebrum-6186-v1-mkmlizer: creating bucket guanaco-reward-models
aetherresearch-cerebrum-6186-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
aetherresearch-cerebrum-6186-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/aetherresearch-cerebrum-6186-v1_reward
aetherresearch-cerebrum-6186-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/aetherresearch-cerebrum-6186-v1_reward/config.json
aetherresearch-cerebrum-6186-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/aetherresearch-cerebrum-6186-v1_reward/special_tokens_map.json
aetherresearch-cerebrum-6186-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/aetherresearch-cerebrum-6186-v1_reward/merges.txt
aetherresearch-cerebrum-6186-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/aetherresearch-cerebrum-6186-v1_reward/vocab.json
aetherresearch-cerebrum-6186-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/aetherresearch-cerebrum-6186-v1_reward/tokenizer_config.json
aetherresearch-cerebrum-6186-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/aetherresearch-cerebrum-6186-v1_reward/tokenizer.json
aetherresearch-cerebrum-6186-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/aetherresearch-cerebrum-6186-v1_reward/reward.tensors
Job aetherresearch-cerebrum-6186-v1-mkmlizer completed after 65.13s with status: succeeded
Stopping job with name aetherresearch-cerebrum-6186-v1-mkmlizer
Pipeline stage MKMLizer completed in 75.29s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service aetherresearch-cerebrum-6186-v1
Waiting for inference service aetherresearch-cerebrum-6186-v1 to be ready
Inference service aetherresearch-cerebrum-6186-v1 ready after 40.25566506385803s
Pipeline stage ISVCDeployer completed in 47.55s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.5144870281219482s
Received healthy response to inference request in 1.2181782722473145s
Received healthy response to inference request in 1.1658246517181396s
Received healthy response to inference request in 1.1847624778747559s
Received healthy response to inference request in 1.2249605655670166s
5 requests
0 failed requests
5th percentile: 1.169612216949463
10th percentile: 1.1733997821807862
20th percentile: 1.1809749126434326
30th percentile: 1.1914456367492676
40th percentile: 1.204811954498291
50th percentile: 1.2181782722473145
60th percentile: 1.2208911895751953
70th percentile: 1.223604106903076
80th percentile: 1.282865858078003
90th percentile: 1.3986764430999756
95th percentile: 1.4565817356109618
99th percentile: 1.5029059696197509
mean time: 1.2616425991058349
Pipeline stage StressChecker completed in 7.30s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
aetherresearch-cerebrum-_6186_v1 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics