submission_id: saishf-multi-verse-rp-7b_v3
developer_uid: chai_backend_admin
status: torndown
model_repo: saishf/Multi-Verse-RP-7B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 1, '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}
reward_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}
timestamp: 2024-04-02T17:55:44+00:00
model_name: auto_submit_ricum_kolabiwaci
model_eval_status: success
model_group: saishf/Multi-Verse-RP-7B
num_battles: 23626
num_wins: 9880
celo_rating: 1096.28
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 1
max_input_tokens: 512
max_output_tokens: 64
display_name: auto_submit_ricum_kolabiwaci
ineligible_reason: propriety_total_count < 800
language_model: saishf/Multi-Verse-RP-7B
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-02
win_ratio: 0.41818335731820877
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name saishf-multi-verse-rp-7b-v3-mkmlizer
Waiting for job on saishf-multi-verse-rp-7b-v3-mkmlizer to finish
saishf-multi-verse-rp-7b-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ _____ __ __ ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ /___/ ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ Version: 0.6.11 ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ The license key for the current software has been verified as ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ belonging to: ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ Chai Research Corp. ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ║ ║
saishf-multi-verse-rp-7b-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
saishf-multi-verse-rp-7b-v3-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 14.2MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: README.md: 0%| | 0.00/4.11k [00:00<?, ?B/s] README.md: 100%|██████████| 4.11k/4.11k [00:00<00:00, 28.0MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: config.json: 0%| | 0.00/666 [00:00<?, ?B/s] config.json: 100%|██████████| 666/666 [00:00<00:00, 11.0MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: mergekit_config.yml: 0%| | 0.00/781 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 781/781 [00:00<00:00, 12.7MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: model-00001-of-00008.safetensors: 0%| | 0.00/1.98G [00:00<?, ?B/s] model-00001-of-00008.safetensors: 1%| | 10.5M/1.98G [00:00<00:47, 41.5MB/s] model-00001-of-00008.safetensors: 1%| | 21.0M/1.98G [00:01<02:02, 15.9MB/s] model-00001-of-00008.safetensors: 2%|▏ | 31.5M/1.98G [00:01<01:21, 24.0MB/s] model-00001-of-00008.safetensors: 3%|▎ | 62.9M/1.98G [00:01<00:34, 56.0MB/s] model-00001-of-00008.safetensors: 15%|█▌ | 304M/1.98G [00:01<00:04, 394MB/s] model-00001-of-00008.safetensors: 29%|██▉ | 577M/1.98G [00:01<00:02, 693MB/s] model-00001-of-00008.safetensors: 35%|███▍ | 692M/1.98G [00:02<00:02, 573MB/s] model-00001-of-00008.safetensors: 40%|███▉ | 786M/1.98G [00:02<00:01, 630MB/s] model-00001-of-00008.safetensors: 60%|██████ | 1.20G/1.98G [00:02<00:00, 1.19GB/s] model-00001-of-00008.safetensors: 69%|██████▉ | 1.36G/1.98G [00:02<00:00, 951MB/s] model-00001-of-00008.safetensors: 76%|███████▌ | 1.50G/1.98G [00:02<00:00, 785MB/s] model-00001-of-00008.safetensors: 92%|█████████▏| 1.81G/1.98G [00:03<00:00, 1.15GB/s] model-00001-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:03<00:00, 638MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: model-00002-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s] model-00002-of-00008.safetensors: 1%| | 10.5M/1.95G [00:01<03:49, 8.43MB/s] model-00002-of-00008.safetensors: 3%|▎ | 52.4M/1.95G [00:01<00:40, 46.7MB/s] model-00002-of-00008.safetensors: 5%|▌ | 105M/1.95G [00:01<00:17, 103MB/s] model-00002-of-00008.safetensors: 27%|██▋ | 535M/1.95G [00:01<00:02, 627MB/s] model-00002-of-00008.safetensors: 33%|███▎ | 650M/1.95G [00:02<00:02, 452MB/s] model-00002-of-00008.safetensors: 46%|████▋ | 902M/1.95G [00:02<00:01, 704MB/s] model-00002-of-00008.safetensors: 58%|█████▊ | 1.13G/1.95G [00:02<00:00, 935MB/s] model-00002-of-00008.safetensors: 68%|██████▊ | 1.33G/1.95G [00:02<00:00, 1.12GB/s] model-00002-of-00008.safetensors: 78%|███████▊ | 1.51G/1.95G [00:02<00:00, 1.22GB/s] model-00002-of-00008.safetensors: 92%|█████████▏| 1.80G/1.95G [00:02<00:00, 1.56GB/s] model-00002-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:02<00:00, 688MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: model-00003-of-00008.safetensors: 0%| | 0.00/1.97G [00:00<?, ?B/s] model-00003-of-00008.safetensors: 1%| | 10.5M/1.97G [00:00<02:40, 12.2MB/s] model-00003-of-00008.safetensors: 5%|▌ | 105M/1.97G [00:01<00:14, 129MB/s] model-00003-of-00008.safetensors: 10%|▉ | 189M/1.97G [00:01<00:07, 229MB/s] model-00003-of-00008.safetensors: 15%|█▍ | 294M/1.97G [00:01<00:04, 352MB/s] model-00003-of-00008.safetensors: 19%|█▉ | 377M/1.97G [00:01<00:04, 391MB/s] model-00003-of-00008.safetensors: 37%|███▋ | 724M/1.97G [00:01<00:01, 977MB/s] model-00003-of-00008.safetensors: 45%|████▍ | 881M/1.97G [00:01<00:01, 1.05GB/s] model-00003-of-00008.safetensors: 59%|█████▉ | 1.16G/1.97G [00:01<00:00, 1.44GB/s] model-00003-of-00008.safetensors: 69%|██████▊ | 1.35G/1.97G [00:02<00:00, 903MB/s] model-00003-of-00008.safetensors: 76%|███████▌ | 1.50G/1.97G [00:02<00:00, 802MB/s] model-00003-of-00008.safetensors: 89%|████████▉ | 1.75G/1.97G [00:02<00:00, 1.06GB/s] model-00003-of-00008.safetensors: 100%|█████████▉| 1.97G/1.97G [00:02<00:00, 731MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: model-00005-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s] model-00005-of-00008.safetensors: 1%| | 10.5M/1.95G [00:00<03:00, 10.7MB/s] model-00005-of-00008.safetensors: 1%| | 21.0M/1.95G [00:01<01:26, 22.3MB/s] model-00005-of-00008.safetensors: 2%|▏ | 31.5M/1.95G [00:01<01:06, 28.8MB/s] model-00005-of-00008.safetensors: 2%|▏ | 41.9M/1.95G [00:01<00:51, 37.0MB/s] model-00005-of-00008.safetensors: 9%|▊ | 168M/1.95G [00:01<00:07, 226MB/s] model-00005-of-00008.safetensors: 23%|██▎ | 451M/1.95G [00:01<00:02, 520MB/s] model-00005-of-00008.safetensors: 26%|██▋ | 514M/1.95G [00:02<00:02, 514MB/s] model-00005-of-00008.safetensors: 31%|███ | 598M/1.95G [00:02<00:02, 564MB/s] model-00005-of-00008.safetensors: 34%|███▍ | 661M/1.95G [00:02<00:02, 574MB/s] model-00005-of-00008.safetensors: 37%|███▋ | 724M/1.95G [00:02<00:02, 537MB/s] model-00005-of-00008.safetensors: 40%|████ | 786M/1.95G [00:02<00:02, 532MB/s] model-00005-of-00008.safetensors: 61%|██████ | 1.18G/1.95G [00:02<00:00, 1.34GB/s] model-00005-of-00008.safetensors: 69%|██████▉ | 1.34G/1.95G [00:02<00:00, 1.25GB/s] model-00005-of-00008.safetensors: 93%|█████████▎| 1.81G/1.95G [00:02<00:00, 2.04GB/s] model-00005-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:03<00:00, 622MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: model-00006-of-00008.safetensors: 0%| | 0.00/1.92G [00:00<?, ?B/s] model-00006-of-00008.safetensors: 1%| | 10.5M/1.92G [00:01<03:47, 8.41MB/s] model-00006-of-00008.safetensors: 3%|▎ | 52.4M/1.92G [00:01<00:44, 42.4MB/s] model-00006-of-00008.safetensors: 7%|▋ | 136M/1.92G [00:01<00:14, 127MB/s] model-00006-of-00008.safetensors: 13%|█▎ | 252M/1.92G [00:01<00:06, 263MB/s] model-00006-of-00008.safetensors: 28%|██▊ | 545M/1.92G [00:01<00:02, 684MB/s] model-00006-of-00008.safetensors: 36%|███▌ | 692M/1.92G [00:02<00:02, 497MB/s] model-00006-of-00008.safetensors: 68%|██████▊ | 1.30G/1.92G [00:02<00:00, 1.24GB/s] model-00006-of-00008.safetensors: 81%|████████ | 1.56G/1.92G [00:02<00:00, 960MB/s] model-00006-of-00008.safetensors: 100%|█████████▉| 1.92G/1.92G [00:02<00:00, 643MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: model-00007-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s] model-00007-of-00008.safetensors: 1%| | 10.5M/1.95G [00:00<02:29, 13.0MB/s] model-00007-of-00008.safetensors: 1%| | 21.0M/1.95G [00:01<01:36, 20.0MB/s] model-00007-of-00008.safetensors: 2%|▏ | 31.5M/1.95G [00:01<01:04, 29.6MB/s] model-00007-of-00008.safetensors: 4%|▍ | 73.4M/1.95G [00:01<00:20, 89.8MB/s] model-00007-of-00008.safetensors: 5%|▌ | 105M/1.95G [00:01<00:15, 118MB/s] model-00007-of-00008.safetensors: 14%|█▍ | 273M/1.95G [00:01<00:04, 411MB/s] model-00007-of-00008.safetensors: 27%|██▋ | 524M/1.95G [00:01<00:01, 831MB/s] model-00007-of-00008.safetensors: 33%|███▎ | 650M/1.95G [00:01<00:01, 816MB/s] model-00007-of-00008.safetensors: 61%|██████ | 1.18G/1.95G [00:02<00:00, 1.74GB/s] model-00007-of-00008.safetensors: 72%|███████▏ | 1.40G/1.95G [00:02<00:00, 1.11GB/s] model-00007-of-00008.safetensors: 82%|████████▏ | 1.59G/1.95G [00:02<00:00, 1.20GB/s] model-00007-of-00008.safetensors: 90%|█████████ | 1.76G/1.95G [00:02<00:00, 1.03GB/s] model-00007-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:02<00:00, 677MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: model-00008-of-00008.safetensors: 0%| | 0.00/789M [00:00<?, ?B/s] model-00008-of-00008.safetensors: 1%|▏ | 10.5M/789M [00:00<00:34, 22.3MB/s] model-00008-of-00008.safetensors: 3%|▎ | 21.0M/789M [00:00<00:19, 39.0MB/s] model-00008-of-00008.safetensors: 4%|▍ | 33.6M/789M [00:00<00:12, 59.1MB/s] model-00008-of-00008.safetensors: 6%|▌ | 44.1M/789M [00:00<00:11, 67.6MB/s] model-00008-of-00008.safetensors: 14%|█▎ | 107M/789M [00:00<00:03, 202MB/s] model-00008-of-00008.safetensors: 44%|████▍ | 348M/789M [00:01<00:00, 759MB/s] model-00008-of-00008.safetensors: 56%|█████▌ | 443M/789M [00:01<00:00, 531MB/s] model-00008-of-00008.safetensors: 65%|██████▌ | 516M/789M [00:01<00:00, 479MB/s] model-00008-of-00008.safetensors: 100%|█████████▉| 789M/789M [00:05<00:00, 153MB/s]
saishf-multi-verse-rp-7b-v3-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, 64.8MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: special_tokens_map.json: 0%| | 0.00/552 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 552/552 [00:00<00:00, 4.69MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 26.8MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 19.8MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/1.34k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.34k/1.34k [00:00<00:00, 12.7MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: Downloaded to shared memory in 40.324s
saishf-multi-verse-rp-7b-v3-mkmlizer: quantizing model to /dev/shm/model_cache
saishf-multi-verse-rp-7b-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
saishf-multi-verse-rp-7b-v3-mkmlizer: Reading /tmp/tmpdkxzcygj/model.safetensors.index.json
saishf-multi-verse-rp-7b-v3-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<00:36, 7.84it/s] Profiling: 3%|▎ | 9/291 [00:00<00:06, 41.85it/s] Profiling: 7%|▋ | 21/291 [00:00<00:03, 68.09it/s] Profiling: 11%|█ | 31/291 [00:00<00:03, 75.50it/s] Profiling: 13%|█▎ | 39/291 [00:00<00:04, 53.72it/s] Profiling: 17%|█▋ | 49/291 [00:00<00:03, 62.58it/s] Profiling: 20%|██ | 59/291 [00:00<00:03, 69.13it/s] Profiling: 24%|██▎ | 69/291 [00:01<00:02, 74.33it/s] Profiling: 27%|██▋ | 80/291 [00:02<00:11, 17.97it/s] Profiling: 32%|███▏ | 92/291 [00:02<00:07, 25.16it/s] Profiling: 36%|███▌ | 104/291 [00:02<00:05, 34.10it/s] Profiling: 40%|███▉ | 116/291 [00:02<00:03, 44.29it/s] Profiling: 43%|████▎ | 126/291 [00:03<00:04, 40.21it/s] Profiling: 47%|████▋ | 137/291 [00:03<00:03, 49.67it/s] Profiling: 51%|█████ | 147/291 [00:03<00:02, 57.57it/s] Profiling: 54%|█████▍ | 158/291 [00:03<00:02, 51.75it/s] Profiling: 58%|█████▊ | 168/291 [00:03<00:02, 58.11it/s] Profiling: 61%|██████ | 178/291 [00:03<00:01, 63.89it/s] Profiling: 65%|██████▍ | 188/291 [00:04<00:01, 68.96it/s] Profiling: 69%|██████▉ | 201/291 [00:05<00:04, 18.20it/s] Profiling: 72%|███████▏ | 209/291 [00:05<00:03, 21.97it/s] Profiling: 75%|███████▌ | 219/291 [00:05<00:02, 27.99it/s] Profiling: 79%|███████▉ | 230/291 [00:06<00:01, 36.62it/s] Profiling: 82%|████████▏ | 238/291 [00:06<00:01, 35.28it/s] Profiling: 86%|████████▌ | 250/291 [00:06<00:00, 46.45it/s] Profiling: 90%|█████████ | 263/291 [00:06<00:00, 58.43it/s] Profiling: 95%|█████████▍| 275/291 [00:06<00:00, 69.71it/s] Profiling: 98%|█████████▊| 285/291 [00:06<00:00, 55.81it/s] Profiling: 100%|██████████| 291/291 [00:07<00:00, 41.54it/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: quantized model in 18.287s
saishf-multi-verse-rp-7b-v3-mkmlizer: Processed model saishf/Multi-Verse-RP-7B in 60.184s
saishf-multi-verse-rp-7b-v3-mkmlizer: creating bucket guanaco-mkml-models
saishf-multi-verse-rp-7b-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
saishf-multi-verse-rp-7b-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/saishf-multi-verse-rp-7b-v3
saishf-multi-verse-rp-7b-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/saishf-multi-verse-rp-7b-v3/special_tokens_map.json
saishf-multi-verse-rp-7b-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/saishf-multi-verse-rp-7b-v3/config.json
saishf-multi-verse-rp-7b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/saishf-multi-verse-rp-7b-v3/tokenizer_config.json
saishf-multi-verse-rp-7b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/saishf-multi-verse-rp-7b-v3/tokenizer.json
saishf-multi-verse-rp-7b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/saishf-multi-verse-rp-7b-v3/tokenizer.model
saishf-multi-verse-rp-7b-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/saishf-multi-verse-rp-7b-v3/mkml_model.tensors
saishf-multi-verse-rp-7b-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
saishf-multi-verse-rp-7b-v3-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.
saishf-multi-verse-rp-7b-v3-mkmlizer: warnings.warn(
saishf-multi-verse-rp-7b-v3-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 7.51MB/s]
saishf-multi-verse-rp-7b-v3-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.
saishf-multi-verse-rp-7b-v3-mkmlizer: warnings.warn(
saishf-multi-verse-rp-7b-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.96MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 32.8MB/s]
saishf-multi-verse-rp-7b-v3-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 22.8MB/s]
saishf-multi-verse-rp-7b-v3-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.
saishf-multi-verse-rp-7b-v3-mkmlizer: warnings.warn(
saishf-multi-verse-rp-7b-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
saishf-multi-verse-rp-7b-v3-mkmlizer: Saving duration: 0.379s
saishf-multi-verse-rp-7b-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.445s
saishf-multi-verse-rp-7b-v3-mkmlizer: creating bucket guanaco-reward-models
saishf-multi-verse-rp-7b-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
saishf-multi-verse-rp-7b-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v3_reward
saishf-multi-verse-rp-7b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v3_reward/tokenizer_config.json
saishf-multi-verse-rp-7b-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v3_reward/config.json
saishf-multi-verse-rp-7b-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v3_reward/special_tokens_map.json
saishf-multi-verse-rp-7b-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v3_reward/merges.txt
saishf-multi-verse-rp-7b-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v3_reward/vocab.json
saishf-multi-verse-rp-7b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v3_reward/tokenizer.json
saishf-multi-verse-rp-7b-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v3_reward/reward.tensors
Job saishf-multi-verse-rp-7b-v3-mkmlizer completed after 85.62s with status: succeeded
Stopping job with name saishf-multi-verse-rp-7b-v3-mkmlizer
Pipeline stage MKMLizer completed in 89.74s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service saishf-multi-verse-rp-7b-v3
Waiting for inference service saishf-multi-verse-rp-7b-v3 to be ready
Exception raised while processing tagging_function
Traceback (most recent call last): File "/code/guanaco/guanaco_services/src/guanaco_model_service/chat_api.py", line 274, in resolve_chat_api conversation_tag = self.tagging_function(conversation_state) File "/home/zongyi/gitlab/zztools/zztools/llm/guanaco/submit_routing_model.py", line 176, in last_user_message_length TypeError: 'ConversationMessage' object is not subscriptable
Inference service saishf-multi-verse-rp-7b-v3 ready after 50.338488817214966s
Pipeline stage ISVCDeployer completed in 57.54s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.0303280353546143s
Received healthy response to inference request in 0.9187531471252441s
Received healthy response to inference request in 0.9205596446990967s
Received healthy response to inference request in 0.7947332859039307s
Received healthy response to inference request in 0.9443833827972412s
5 requests
0 failed requests
5th percentile: 0.8195372581481933
10th percentile: 0.844341230392456
20th percentile: 0.8939491748809815
30th percentile: 0.9191144466400146
40th percentile: 0.9198370456695557
50th percentile: 0.9205596446990967
60th percentile: 0.9300891399383545
70th percentile: 0.9396186351776123
80th percentile: 0.9615723133087158
90th percentile: 0.995950174331665
95th percentile: 1.0131391048431397
99th percentile: 1.0268902492523193
mean time: 0.9217514991760254
Pipeline stage StressChecker completed in 5.45s
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
saishf-multi-verse-rp-7b_v3 status is now deployed due to DeploymentManager action
saishf-multi-verse-rp-7b_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of saishf-multi-verse-rp-7b_v3
Running pipeline stage ISVCDeleter
Checking if service saishf-multi-verse-rp-7b-v3 is running
Tearing down inference service saishf-multi-verse-rp-7b-v3
Toredown service saishf-multi-verse-rp-7b-v3
Pipeline stage ISVCDeleter completed in 3.45s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key saishf-multi-verse-rp-7b-v3/config.json from bucket guanaco-mkml-models
Deleting key saishf-multi-verse-rp-7b-v3/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key saishf-multi-verse-rp-7b-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key saishf-multi-verse-rp-7b-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key saishf-multi-verse-rp-7b-v3/tokenizer.model from bucket guanaco-mkml-models
Deleting key saishf-multi-verse-rp-7b-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key saishf-multi-verse-rp-7b-v3_reward/config.json from bucket guanaco-reward-models
Deleting key saishf-multi-verse-rp-7b-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key saishf-multi-verse-rp-7b-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key saishf-multi-verse-rp-7b-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key saishf-multi-verse-rp-7b-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key saishf-multi-verse-rp-7b-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key saishf-multi-verse-rp-7b-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.00s
saishf-multi-verse-rp-7b_v3 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics