submission_id: katythecutie-lemonaderp_6308_v15
developer_uid: zonemercy
status: inactive
model_repo: KatyTheCutie/LemonadeRP-4.5.3
reward_repo: rirv938/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': "### Instruction:\n\nRole-play as {bot_name} based on the Persona: {memory}.\n\nAvoid repetition, don't loop. Develop the plot slowly, always stay in character. Describe all actions in full, elaborate, explicit, graphic, and vivid detail. Mention all relevant sensory perceptions.", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '### Response:\n\n{bot_name}: {message}\n\n', 'user_template': '### Input:\n\n{user_name}: {message}\n\n', 'response_template': '### Response:\n\n{bot_name}:'}
timestamp: 2024-03-22T06:24:26+00:00
model_name: katythecutie-lemonaderp_6308_v15
model_eval_status: success
safety_score: 0.98
entertaining: 7.06
stay_in_character: 8.56
user_preference: 7.32
double_thumbs_up: 1090
thumbs_up: 1519
thumbs_down: 627
num_battles: 112357
num_wins: 60919
win_ratio: 0.5421914077449558
celo_rating: 1187.35
Resubmit model
Running pipeline stage MKMLizer
Starting job with name katythecutie-lemonaderp-6308-v15-mkmlizer
Waiting for job on katythecutie-lemonaderp-6308-v15-mkmlizer to finish
katythecutie-lemonaderp-6308-v15-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ _____ __ __ ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ /___/ ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ Version: 0.6.11 ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ The license key for the current software has been verified as ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ belonging to: ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ Chai Research Corp. ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ║ ║
katythecutie-lemonaderp-6308-v15-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
katythecutie-lemonaderp-6308-v15-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 15.9MB/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: README.md: 0%| | 0.00/894 [00:00<?, ?B/s] README.md: 100%|██████████| 894/894 [00:00<00:00, 11.6MB/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: config.json: 0%| | 0.00/641 [00:00<?, ?B/s] config.json: 100%|██████████| 641/641 [00:00<00:00, 5.33MB/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: mergekit_config.yml: 0%| | 0.00/676 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 676/676 [00:00<00:00, 5.34MB/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: model-00001-of-00002.safetensors: 0%| | 0.00/9.98G [00:00<?, ?B/s] model-00001-of-00002.safetensors: 0%| | 10.5M/9.98G [00:01<18:02, 9.21MB/s] model-00001-of-00002.safetensors: 0%| | 21.0M/9.98G [00:01<08:22, 19.8MB/s] model-00001-of-00002.safetensors: 0%| | 41.9M/9.98G [00:01<03:55, 42.2MB/s] model-00001-of-00002.safetensors: 1%| | 62.9M/9.98G [00:01<02:42, 61.1MB/s] model-00001-of-00002.safetensors: 1%| | 73.4M/9.98G [00:01<02:30, 65.8MB/s] model-00001-of-00002.safetensors: 1%| | 83.9M/9.98G [00:01<02:21, 69.9MB/s] model-00001-of-00002.safetensors: 2%|▏ | 210M/9.98G [00:01<00:32, 301MB/s] model-00001-of-00002.safetensors: 4%|▍ | 388M/9.98G [00:02<00:15, 601MB/s] model-00001-of-00002.safetensors: 5%|▍ | 472M/9.98G [00:02<00:19, 488MB/s] model-00001-of-00002.safetensors: 6%|▌ | 619M/9.98G [00:02<00:13, 674MB/s] model-00001-of-00002.safetensors: 8%|▊ | 828M/9.98G [00:02<00:09, 962MB/s] model-00001-of-00002.safetensors: 10%|▉ | 954M/9.98G [00:02<00:09, 974MB/s] model-00001-of-00002.safetensors: 15%|█▍ | 1.46G/9.98G [00:02<00:04, 1.86GB/s] model-00001-of-00002.safetensors: 18%|█▊ | 1.79G/9.98G [00:02<00:03, 2.20GB/s] model-00001-of-00002.safetensors: 20%|██ | 2.03G/9.98G [00:03<00:05, 1.47GB/s] model-00001-of-00002.safetensors: 22%|██▏ | 2.23G/9.98G [00:03<00:05, 1.50GB/s] model-00001-of-00002.safetensors: 24%|██▍ | 2.42G/9.98G [00:03<00:06, 1.14GB/s] model-00001-of-00002.safetensors: 26%|██▌ | 2.59G/9.98G [00:03<00:06, 1.19GB/s] model-00001-of-00002.safetensors: 29%|██▉ | 2.89G/9.98G [00:03<00:04, 1.55GB/s] model-00001-of-00002.safetensors: 32%|███▏ | 3.23G/9.98G [00:03<00:03, 1.93GB/s] model-00001-of-00002.safetensors: 35%|███▍ | 3.47G/9.98G [00:04<00:04, 1.47GB/s] model-00001-of-00002.safetensors: 37%|███▋ | 3.67G/9.98G [00:04<00:04, 1.54GB/s] model-00001-of-00002.safetensors: 39%|███▊ | 3.86G/9.98G [00:04<00:04, 1.26GB/s] model-00001-of-00002.safetensors: 42%|████▏ | 4.20G/9.98G [00:04<00:03, 1.66GB/s] model-00001-of-00002.safetensors: 44%|████▍ | 4.41G/9.98G [00:04<00:04, 1.39GB/s] model-00001-of-00002.safetensors: 46%|████▌ | 4.61G/9.98G [00:04<00:03, 1.50GB/s] model-00001-of-00002.safetensors: 48%|████▊ | 4.80G/9.98G [00:05<00:03, 1.41GB/s] model-00001-of-00002.safetensors: 50%|████▉ | 4.97G/9.98G [00:05<00:03, 1.28GB/s] model-00001-of-00002.safetensors: 52%|█████▏ | 5.20G/9.98G [00:05<00:03, 1.43GB/s] model-00001-of-00002.safetensors: 54%|█████▍ | 5.37G/9.98G [00:05<00:03, 1.46GB/s] model-00001-of-00002.safetensors: 57%|█████▋ | 5.64G/9.98G [00:05<00:02, 1.74GB/s] model-00001-of-00002.safetensors: 58%|█████▊ | 5.83G/9.98G [00:05<00:03, 1.37GB/s] model-00001-of-00002.safetensors: 60%|██████ | 5.99G/9.98G [00:05<00:02, 1.40GB/s] model-00001-of-00002.safetensors: 62%|██████▏ | 6.18G/9.98G [00:06<00:02, 1.38GB/s] model-00001-of-00002.safetensors: 63%|██████▎ | 6.33G/9.98G [00:06<00:02, 1.36GB/s] model-00001-of-00002.safetensors: 65%|██████▌ | 6.51G/9.98G [00:06<00:02, 1.44GB/s] model-00001-of-00002.safetensors: 68%|██████▊ | 6.79G/9.98G [00:06<00:01, 1.63GB/s] model-00001-of-00002.safetensors: 70%|███████ | 6.99G/9.98G [00:06<00:01, 1.69GB/s] model-00001-of-00002.safetensors: 72%|███████▏ | 7.22G/9.98G [00:06<00:01, 1.84GB/s] model-00001-of-00002.safetensors: 75%|███████▌ | 7.51G/9.98G [00:06<00:01, 2.02GB/s] model-00001-of-00002.safetensors: 77%|███████▋ | 7.72G/9.98G [00:06<00:01, 1.88GB/s] model-00001-of-00002.safetensors: 79%|███████▉ | 7.92G/9.98G [00:07<00:01, 1.38GB/s] model-00001-of-00002.safetensors: 81%|████████ | 8.08G/9.98G [00:07<00:01, 1.26GB/s] model-00001-of-00002.safetensors: 83%|████████▎ | 8.33G/9.98G [00:07<00:01, 1.50GB/s] model-00001-of-00002.safetensors: 85%|████████▌ | 8.50G/9.98G [00:07<00:01, 1.38GB/s] model-00001-of-00002.safetensors: 87%|████████▋ | 8.69G/9.98G [00:07<00:00, 1.47GB/s] model-00001-of-00002.safetensors: 89%|████████▉ | 8.91G/9.98G [00:07<00:00, 1.60GB/s] model-00001-of-00002.safetensors: 91%|█████████ | 9.09G/9.98G [00:07<00:00, 1.48GB/s] model-00001-of-00002.safetensors: 93%|█████████▎| 9.25G/9.98G [00:08<00:00, 1.49GB/s] model-00001-of-00002.safetensors: 96%|█████████▌| 9.55G/9.98G [00:08<00:00, 1.86GB/s] model-00001-of-00002.safetensors: 100%|█████████▉| 9.97G/9.98G [00:08<00:00, 2.21GB/s] model-00001-of-00002.safetensors: 100%|█████████▉| 9.98G/9.98G [00:26<00:00, 2.21GB/s] model-00001-of-00002.safetensors: 100%|█████████▉| 9.98G/9.98G [00:26<00:00, 378MB/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: model-00002-of-00002.safetensors: 0%| | 0.00/4.51G [00:00<?, ?B/s] model-00002-of-00002.safetensors: 0%| | 10.5M/4.51G [00:06<46:38, 1.61MB/s] model-00002-of-00002.safetensors: 0%| | 21.0M/4.51G [00:06<19:37, 3.81MB/s] model-00002-of-00002.safetensors: 1%| | 41.9M/4.51G [00:06<07:40, 9.71MB/s] model-00002-of-00002.safetensors: 1%| | 52.4M/4.51G [00:07<05:53, 12.6MB/s] model-00002-of-00002.safetensors: 1%|▏ | 62.9M/4.51G [00:07<04:33, 16.2MB/s] model-00002-of-00002.safetensors: 2%|▏ | 73.4M/4.51G [00:07<03:24, 21.7MB/s] model-00002-of-00002.safetensors: 4%|▍ | 189M/4.51G [00:07<00:37, 115MB/s] model-00002-of-00002.safetensors: 13%|█▎ | 598M/4.51G [00:07<00:07, 533MB/s] model-00002-of-00002.safetensors: 17%|█▋ | 765M/4.51G [00:07<00:05, 665MB/s] model-00002-of-00002.safetensors: 24%|██▍ | 1.08G/4.51G [00:07<00:03, 1.04GB/s] model-00002-of-00002.safetensors: 28%|██▊ | 1.28G/4.51G [00:08<00:03, 943MB/s] model-00002-of-00002.safetensors: 32%|███▏ | 1.45G/4.51G [00:08<00:03, 941MB/s] model-00002-of-00002.safetensors: 35%|███▌ | 1.59G/4.51G [00:08<00:03, 944MB/s] model-00002-of-00002.safetensors: 38%|███▊ | 1.73G/4.51G [00:08<00:02, 1.01GB/s] model-00002-of-00002.safetensors: 43%|████▎ | 1.94G/4.51G [00:08<00:02, 1.17GB/s] model-00002-of-00002.safetensors: 48%|████▊ | 2.18G/4.51G [00:08<00:01, 1.43GB/s] model-00002-of-00002.safetensors: 53%|█████▎ | 2.38G/4.51G [00:08<00:01, 1.53GB/s] model-00002-of-00002.safetensors: 57%|█████▋ | 2.56G/4.51G [00:09<00:01, 1.34GB/s] model-00002-of-00002.safetensors: 60%|██████ | 2.72G/4.51G [00:09<00:01, 1.31GB/s] model-00002-of-00002.safetensors: 65%|██████▍ | 2.92G/4.51G [00:09<00:01, 1.47GB/s] model-00002-of-00002.safetensors: 68%|██████▊ | 3.08G/4.51G [00:09<00:01, 1.28GB/s] model-00002-of-00002.safetensors: 75%|███████▍ | 3.38G/4.51G [00:09<00:00, 1.66GB/s] model-00002-of-00002.safetensors: 79%|███████▉ | 3.57G/4.51G [00:09<00:00, 1.70GB/s] model-00002-of-00002.safetensors: 84%|████████▎ | 3.76G/4.51G [00:09<00:00, 1.70GB/s] model-00002-of-00002.safetensors: 88%|████████▊ | 3.98G/4.51G [00:09<00:00, 1.82GB/s] model-00002-of-00002.safetensors: 93%|█████████▎| 4.18G/4.51G [00:09<00:00, 1.85GB/s] model-00002-of-00002.safetensors: 100%|█████████▉| 4.51G/4.51G [00:26<00:00, 1.85GB/s] model-00002-of-00002.safetensors: 100%|█████████▉| 4.51G/4.51G [00:26<00:00, 171MB/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: model.safetensors.index.json: 0%| | 0.00/22.8k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 22.8k/22.8k [00:00<00:00, 5.92MB/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: special_tokens_map.json: 0%| | 0.00/414 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 3.38MB/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 7.18MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 7.16MB/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 2.37MB/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 2.36MB/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: tokenizer_config.json: 0%| | 0.00/967 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 12.7MB/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: Downloaded to shared memory in 69.579s
katythecutie-lemonaderp-6308-v15-mkmlizer: quantizing model to /dev/shm/model_cache
katythecutie-lemonaderp-6308-v15-mkmlizer: Saving mkml model at /dev/shm/model_cache
katythecutie-lemonaderp-6308-v15-mkmlizer: Reading /tmp/tmphw7o_b8t/model.safetensors.index.json
katythecutie-lemonaderp-6308-v15-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:07, 1.27s/it] Profiling: 4%|▍ | 13/291 [00:01<00:21, 12.75it/s] Profiling: 10%|█ | 30/291 [00:01<00:08, 31.97it/s] Profiling: 14%|█▍ | 42/291 [00:01<00:05, 45.07it/s] Profiling: 20%|█▉ | 58/291 [00:01<00:03, 64.16it/s] Profiling: 26%|██▌ | 75/291 [00:01<00:02, 82.73it/s] Profiling: 31%|███ | 89/291 [00:01<00:02, 93.15it/s] Profiling: 35%|███▌ | 103/291 [00:02<00:01, 101.83it/s] Profiling: 41%|████ | 120/291 [00:02<00:01, 114.22it/s] Profiling: 46%|████▌ | 134/291 [00:02<00:01, 117.81it/s] Profiling: 51%|█████ | 149/291 [00:02<00:01, 125.12it/s] Profiling: 56%|█████▌ | 163/291 [00:02<00:01, 127.71it/s] Profiling: 61%|██████ | 177/291 [00:02<00:00, 130.89it/s] Profiling: 67%|██████▋ | 194/291 [00:02<00:00, 138.58it/s] Profiling: 72%|███████▏ | 209/291 [00:04<00:03, 23.23it/s] Profiling: 76%|███████▋ | 222/291 [00:04<00:02, 29.69it/s] Profiling: 82%|████████▏ | 239/291 [00:04<00:01, 40.78it/s] Profiling: 88%|████████▊ | 256/291 [00:04<00:00, 53.88it/s] Profiling: 93%|█████████▎| 271/291 [00:05<00:00, 65.95it/s] Profiling: 98%|█████████▊| 285/291 [00:05<00:00, 76.33it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 54.06it/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: quantized model in 18.176s
katythecutie-lemonaderp-6308-v15-mkmlizer: Processed model KatyTheCutie/LemonadeRP-4.5.3 in 88.842s
katythecutie-lemonaderp-6308-v15-mkmlizer: creating bucket guanaco-mkml-models
katythecutie-lemonaderp-6308-v15-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
katythecutie-lemonaderp-6308-v15-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/katythecutie-lemonaderp-6308-v15
katythecutie-lemonaderp-6308-v15-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/katythecutie-lemonaderp-6308-v15/config.json
katythecutie-lemonaderp-6308-v15-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/katythecutie-lemonaderp-6308-v15/special_tokens_map.json
katythecutie-lemonaderp-6308-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/katythecutie-lemonaderp-6308-v15/tokenizer_config.json
katythecutie-lemonaderp-6308-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/katythecutie-lemonaderp-6308-v15/tokenizer.model
katythecutie-lemonaderp-6308-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/katythecutie-lemonaderp-6308-v15/tokenizer.json
katythecutie-lemonaderp-6308-v15-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/katythecutie-lemonaderp-6308-v15/mkml_model.tensors
katythecutie-lemonaderp-6308-v15-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
katythecutie-lemonaderp-6308-v15-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.
katythecutie-lemonaderp-6308-v15-mkmlizer: warnings.warn(
katythecutie-lemonaderp-6308-v15-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 11.2MB/s]
katythecutie-lemonaderp-6308-v15-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.
katythecutie-lemonaderp-6308-v15-mkmlizer: warnings.warn(
katythecutie-lemonaderp-6308-v15-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.41MB/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.42MB/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 4.41MB/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 25.2MB/s]
katythecutie-lemonaderp-6308-v15-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.
katythecutie-lemonaderp-6308-v15-mkmlizer: warnings.warn(
katythecutie-lemonaderp-6308-v15-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:01<02:33, 9.34MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:01<01:11, 19.9MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:01<00:33, 41.8MB/s] pytorch_model.bin: 4%|▍ | 62.9M/1.44G [00:01<00:22, 61.1MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:01<00:21, 63.9MB/s] pytorch_model.bin: 7%|▋ | 105M/1.44G [00:01<00:14, 89.7MB/s] pytorch_model.bin: 9%|▊ | 126M/1.44G [00:02<00:12, 105MB/s] pytorch_model.bin: 13%|█▎ | 189M/1.44G [00:02<00:06, 198MB/s] pytorch_model.bin: 17%|█▋ | 252M/1.44G [00:02<00:04, 263MB/s] pytorch_model.bin: 23%|██▎ | 336M/1.44G [00:02<00:02, 380MB/s] pytorch_model.bin: 41%|████▏ | 598M/1.44G [00:02<00:00, 896MB/s] pytorch_model.bin: 68%|██████▊ | 986M/1.44G [00:02<00:00, 1.63GB/s] pytorch_model.bin: 85%|████████▍ | 1.23G/1.44G [00:02<00:00, 1.83GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:16<00:00, 1.83GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:16<00:00, 89.6MB/s]
katythecutie-lemonaderp-6308-v15-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
katythecutie-lemonaderp-6308-v15-mkmlizer: Saving duration: 0.331s
katythecutie-lemonaderp-6308-v15-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 21.953s
katythecutie-lemonaderp-6308-v15-mkmlizer: creating bucket guanaco-reward-models
katythecutie-lemonaderp-6308-v15-mkmlizer: Bucket 's3://guanaco-reward-models/' created
katythecutie-lemonaderp-6308-v15-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/katythecutie-lemonaderp-6308-v15_reward
katythecutie-lemonaderp-6308-v15-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/katythecutie-lemonaderp-6308-v15_reward/config.json
katythecutie-lemonaderp-6308-v15-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/katythecutie-lemonaderp-6308-v15_reward/special_tokens_map.json
katythecutie-lemonaderp-6308-v15-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/katythecutie-lemonaderp-6308-v15_reward/tokenizer_config.json
katythecutie-lemonaderp-6308-v15-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/katythecutie-lemonaderp-6308-v15_reward/merges.txt
katythecutie-lemonaderp-6308-v15-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/katythecutie-lemonaderp-6308-v15_reward/vocab.json
katythecutie-lemonaderp-6308-v15-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/katythecutie-lemonaderp-6308-v15_reward/tokenizer.json
katythecutie-lemonaderp-6308-v15-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/katythecutie-lemonaderp-6308-v15_reward/reward.tensors
Job katythecutie-lemonaderp-6308-v15-mkmlizer completed after 213.24s with status: succeeded
Stopping job with name katythecutie-lemonaderp-6308-v15-mkmlizer
Pipeline stage MKMLizer completed in 214.87s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service katythecutie-lemonaderp-6308-v15
Waiting for inference service katythecutie-lemonaderp-6308-v15 to be ready
Inference service katythecutie-lemonaderp-6308-v15 ready after 50.2573447227478s
Pipeline stage ISVCDeployer completed in 56.80s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.751523733139038s
Received healthy response to inference request in 1.2225737571716309s
Received healthy response to inference request in 1.225311279296875s
Failed to get response for submission neversleep-noromaid-v0-1_8068_v6: ('http://neversleep-noromaid-v0-1-8068-v6-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:45840->127.0.0.1:8080: read: connection reset by peer\n')
Received healthy response to inference request in 1.2103214263916016s
Received healthy response to inference request in 1.2301840782165527s
5 requests
0 failed requests
5th percentile: 1.2127718925476074
10th percentile: 1.2152223587036133
20th percentile: 1.220123291015625
30th percentile: 1.2231212615966798
40th percentile: 1.2242162704467774
50th percentile: 1.225311279296875
60th percentile: 1.2272603988647461
70th percentile: 1.2292095184326173
80th percentile: 1.33445200920105
90th percentile: 1.542987871170044
95th percentile: 1.647255802154541
99th percentile: 1.7306701469421386
mean time: 1.3279828548431396
Pipeline stage StressChecker completed in 7.56s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.08s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.06s
M-Eval Dataset for topic stay_in_character is loaded
katythecutie-lemonaderp_6308_v15 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics