submission_id: inv-exponenta-alpha-7b_v6
developer_uid: Inv
status: inactive
model_repo: Inv/Exponenta-Alpha-7B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'top_k': 70, 'presence_penalty': 0.9, 'frequency_penalty': 0.9, 'stopping_words': ['\n', '</s>', '###'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "Role-play as {bot_name} based on Persona: {memory}. Avoid 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': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:'}
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}:'}
timestamp: 2024-03-30T17:13:30+00:00
model_name: inv-exponenta-alpha-7b_v6
model_eval_status: success
safety_score: 0.98
entertaining: 6.92
stay_in_character: 8.67
user_preference: 7.48
double_thumbs_up: 613
thumbs_up: 916
thumbs_down: 425
num_battles: 70937
num_wins: 38239
win_ratio: 0.5390557818909737
celo_rating: 1185.69
Resubmit model
Running pipeline stage MKMLizer
Running pipeline stage MKMLizer
Starting job with name inv-exponenta-alpha-7b-v6-mkmlizer
Stopping job with name inv-exponenta-alpha-7b-v6-mkmlizer
%s, retrying in %s seconds...
Starting job with name inv-exponenta-alpha-7b-v6-mkmlizer
Waiting for job on inv-exponenta-alpha-7b-v6-mkmlizer to finish
inv-exponenta-alpha-7b-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
inv-exponenta-alpha-7b-v6-mkmlizer: ║ _____ __ __ ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ /___/ ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ Version: 0.6.11 ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ The license key for the current software has been verified as ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ belonging to: ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ Chai Research Corp. ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
inv-exponenta-alpha-7b-v6-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 19.8MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: README.md: 0%| | 0.00/1.18k [00:00<?, ?B/s] README.md: 100%|██████████| 1.18k/1.18k [00:00<00:00, 15.2MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: config.json: 0%| | 0.00/641 [00:00<?, ?B/s] config.json: 100%|██████████| 641/641 [00:00<00:00, 7.51MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: mergekit_config.yml: 0%| | 0.00/552 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 552/552 [00:00<00:00, 5.76MB/s]
inv-exponenta-alpha-7b-v6-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<00:44, 44.2MB/s] model-00001-of-00008.safetensors: 1%| | 21.0M/1.98G [00:00<00:31, 62.9MB/s] model-00001-of-00008.safetensors: 10%|█ | 199M/1.98G [00:00<00:03, 589MB/s] model-00001-of-00008.safetensors: 21%|██ | 409M/1.98G [00:00<00:01, 1.05GB/s] model-00001-of-00008.safetensors: 31%|███ | 608M/1.98G [00:00<00:01, 1.32GB/s] model-00001-of-00008.safetensors: 40%|███▉ | 786M/1.98G [00:00<00:00, 1.45GB/s] model-00001-of-00008.safetensors: 48%|████▊ | 954M/1.98G [00:00<00:00, 1.39GB/s] model-00001-of-00008.safetensors: 61%|██████ | 1.21G/1.98G [00:01<00:00, 1.69GB/s] model-00001-of-00008.safetensors: 72%|███████▏ | 1.43G/1.98G [00:01<00:00, 1.83GB/s] model-00001-of-00008.safetensors: 88%|████████▊ | 1.74G/1.98G [00:01<00:00, 2.15GB/s] model-00001-of-00008.safetensors: 99%|█████████▉| 1.97G/1.98G [00:01<00:00, 1.60GB/s] model-00001-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:01<00:00, 1.24GB/s]
inv-exponenta-alpha-7b-v6-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 [00:00<00:47, 41.1MB/s] model-00002-of-00008.safetensors: 3%|▎ | 62.9M/1.95G [00:00<00:09, 206MB/s] model-00002-of-00008.safetensors: 10%|█ | 199M/1.95G [00:00<00:03, 568MB/s] model-00002-of-00008.safetensors: 22%|██▏ | 430M/1.95G [00:00<00:01, 1.11GB/s] model-00002-of-00008.safetensors: 30%|██▉ | 577M/1.95G [00:00<00:01, 1.21GB/s] model-00002-of-00008.safetensors: 39%|███▉ | 765M/1.95G [00:00<00:00, 1.41GB/s] model-00002-of-00008.safetensors: 48%|████▊ | 944M/1.95G [00:00<00:00, 1.51GB/s] model-00002-of-00008.safetensors: 57%|█████▋ | 1.11G/1.95G [00:01<00:00, 1.47GB/s] model-00002-of-00008.safetensors: 66%|██████▌ | 1.28G/1.95G [00:01<00:00, 1.50GB/s] model-00002-of-00008.safetensors: 81%|████████ | 1.58G/1.95G [00:01<00:00, 1.88GB/s] model-00002-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:01<00:00, 1.45GB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: model-00003-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s] model-00003-of-00008.safetensors: 1%| | 10.5M/1.95G [00:00<00:58, 33.3MB/s] model-00003-of-00008.safetensors: 8%|▊ | 147M/1.95G [00:00<00:04, 438MB/s] model-00003-of-00008.safetensors: 19%|█▉ | 377M/1.95G [00:00<00:01, 997MB/s] model-00003-of-00008.safetensors: 31%|███ | 608M/1.95G [00:00<00:00, 1.37GB/s] model-00003-of-00008.safetensors: 40%|████ | 786M/1.95G [00:00<00:00, 1.33GB/s] model-00003-of-00008.safetensors: 48%|████▊ | 944M/1.95G [00:00<00:00, 1.32GB/s] model-00003-of-00008.safetensors: 61%|██████ | 1.18G/1.95G [00:00<00:00, 1.61GB/s] model-00003-of-00008.safetensors: 74%|███████▍ | 1.44G/1.95G [00:01<00:00, 1.87GB/s] model-00003-of-00008.safetensors: 85%|████████▍ | 1.65G/1.95G [00:01<00:00, 1.90GB/s] model-00003-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:01<00:00, 1.50GB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: model-00004-of-00008.safetensors: 0%| | 0.00/1.98G [00:00<?, ?B/s] model-00004-of-00008.safetensors: 1%| | 10.5M/1.98G [00:00<00:26, 75.4MB/s] model-00004-of-00008.safetensors: 1%| | 21.0M/1.98G [00:00<00:25, 75.6MB/s] model-00004-of-00008.safetensors: 4%|▍ | 83.9M/1.98G [00:00<00:06, 276MB/s] model-00004-of-00008.safetensors: 14%|█▍ | 273M/1.98G [00:00<00:02, 819MB/s] model-00004-of-00008.safetensors: 25%|██▌ | 503M/1.98G [00:00<00:01, 1.29GB/s] model-00004-of-00008.safetensors: 33%|███▎ | 650M/1.98G [00:00<00:01, 1.32GB/s] model-00004-of-00008.safetensors: 47%|████▋ | 923M/1.98G [00:00<00:00, 1.72GB/s] model-00004-of-00008.safetensors: 56%|█████▌ | 1.10G/1.98G [00:00<00:00, 1.48GB/s] model-00004-of-00008.safetensors: 70%|██████▉ | 1.38G/1.98G [00:01<00:00, 1.83GB/s] model-00004-of-00008.safetensors: 80%|███████▉ | 1.58G/1.98G [00:01<00:00, 1.80GB/s] model-00004-of-00008.safetensors: 92%|█████████▏| 1.81G/1.98G [00:01<00:00, 1.93GB/s] model-00004-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:01<00:00, 1.48GB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: model-00005-of-00008.safetensors: 0%| | 0.00/1.89G [00:00<?, ?B/s] model-00005-of-00008.safetensors: 1%| | 10.5M/1.89G [00:00<00:48, 38.8MB/s] model-00005-of-00008.safetensors: 3%|▎ | 52.4M/1.89G [00:00<00:10, 170MB/s] model-00005-of-00008.safetensors: 13%|█▎ | 252M/1.89G [00:00<00:02, 733MB/s] model-00005-of-00008.safetensors: 25%|██▍ | 472M/1.89G [00:00<00:01, 1.12GB/s] model-00005-of-00008.safetensors: 35%|███▍ | 661M/1.89G [00:00<00:00, 1.33GB/s] model-00005-of-00008.safetensors: 45%|████▍ | 849M/1.89G [00:00<00:00, 1.47GB/s] model-00005-of-00008.safetensors: 56%|█████▌ | 1.05G/1.89G [00:00<00:00, 1.62GB/s] model-00005-of-00008.safetensors: 71%|███████ | 1.33G/1.89G [00:01<00:00, 1.90GB/s] model-00005-of-00008.safetensors: 81%|████████ | 1.53G/1.89G [00:01<00:00, 1.85GB/s] model-00005-of-00008.safetensors: 98%|█████████▊| 1.86G/1.89G [00:01<00:00, 2.12GB/s] model-00005-of-00008.safetensors: 100%|█████████▉| 1.89G/1.89G [00:01<00:00, 1.39GB/s]
inv-exponenta-alpha-7b-v6-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 [00:00<00:48, 39.6MB/s] model-00006-of-00008.safetensors: 5%|▌ | 105M/1.92G [00:00<00:05, 354MB/s] model-00006-of-00008.safetensors: 14%|█▍ | 273M/1.92G [00:00<00:02, 771MB/s] model-00006-of-00008.safetensors: 25%|██▌ | 482M/1.92G [00:00<00:01, 1.19GB/s] model-00006-of-00008.safetensors: 37%|███▋ | 713M/1.92G [00:00<00:00, 1.46GB/s] model-00006-of-00008.safetensors: 46%|████▌ | 881M/1.92G [00:00<00:00, 1.46GB/s] model-00006-of-00008.safetensors: 58%|█████▊ | 1.11G/1.92G [00:00<00:00, 1.70GB/s] model-00006-of-00008.safetensors: 72%|███████▏ | 1.38G/1.92G [00:01<00:00, 1.92GB/s] model-00006-of-00008.safetensors: 83%|████████▎ | 1.59G/1.92G [00:01<00:00, 1.97GB/s] model-00006-of-00008.safetensors: 93%|█████████▎| 1.80G/1.92G [00:01<00:00, 1.92GB/s] model-00006-of-00008.safetensors: 100%|█████████▉| 1.92G/1.92G [00:01<00:00, 1.02GB/s]
inv-exponenta-alpha-7b-v6-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<01:00, 31.9MB/s] model-00007-of-00008.safetensors: 7%|▋ | 136M/1.95G [00:00<00:04, 388MB/s] model-00007-of-00008.safetensors: 18%|█▊ | 357M/1.95G [00:00<00:01, 910MB/s] model-00007-of-00008.safetensors: 27%|██▋ | 524M/1.95G [00:00<00:01, 1.13GB/s] model-00007-of-00008.safetensors: 36%|███▌ | 692M/1.95G [00:00<00:01, 1.24GB/s] model-00007-of-00008.safetensors: 43%|████▎ | 839M/1.95G [00:00<00:00, 1.30GB/s] model-00007-of-00008.safetensors: 55%|█████▍ | 1.07G/1.95G [00:00<00:00, 1.58GB/s] model-00007-of-00008.safetensors: 64%|██████▍ | 1.25G/1.95G [00:01<00:00, 1.60GB/s] model-00007-of-00008.safetensors: 79%|███████▉ | 1.54G/1.95G [00:01<00:00, 1.97GB/s] model-00007-of-00008.safetensors: 92%|█████████▏| 1.79G/1.95G [00:01<00:00, 2.08GB/s] model-00007-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:01<00:00, 1.02GB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: model-00008-of-00008.safetensors: 0%| | 0.00/872M [00:00<?, ?B/s] model-00008-of-00008.safetensors: 1%| | 10.5M/872M [00:00<00:18, 45.4MB/s] model-00008-of-00008.safetensors: 7%|▋ | 62.9M/872M [00:00<00:03, 226MB/s] model-00008-of-00008.safetensors: 41%|████ | 357M/872M [00:00<00:00, 1.14GB/s] model-00008-of-00008.safetensors: 58%|█████▊ | 503M/872M [00:00<00:00, 1.04GB/s] model-00008-of-00008.safetensors: 81%|████████ | 705M/872M [00:00<00:00, 1.20GB/s] model-00008-of-00008.safetensors: 96%|█████████▋| 841M/872M [00:00<00:00, 1.23GB/s] model-00008-of-00008.safetensors: 100%|█████████▉| 872M/872M [00:00<00:00, 990MB/s]
inv-exponenta-alpha-7b-v6-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, 168MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: special_tokens_map.json: 0%| | 0.00/414 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 3.37MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 9.62MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 9.59MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 55.9MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: tokenizer_config.json: 0%| | 0.00/967 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 16.3MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: Downloaded to shared memory in 15.776s
inv-exponenta-alpha-7b-v6-mkmlizer: quantizing model to /dev/shm/model_cache
inv-exponenta-alpha-7b-v6-mkmlizer: Saving mkml model at /dev/shm/model_cache
inv-exponenta-alpha-7b-v6-mkmlizer: Reading /tmp/tmpkx8i3s3z/model.safetensors.index.json
inv-exponenta-alpha-7b-v6-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<00:36, 8.01it/s] Profiling: 5%|▌ | 15/291 [00:00<00:03, 78.24it/s] Profiling: 12%|█▏ | 36/291 [00:00<00:01, 134.34it/s] Profiling: 18%|█▊ | 51/291 [00:00<00:02, 108.23it/s] Profiling: 25%|██▍ | 72/291 [00:00<00:01, 137.69it/s] Profiling: 30%|███ | 88/291 [00:00<00:01, 119.10it/s] Profiling: 37%|███▋ | 107/291 [00:00<00:01, 134.89it/s] Profiling: 42%|████▏ | 122/291 [00:01<00:01, 120.47it/s] Profiling: 47%|████▋ | 138/291 [00:01<00:01, 130.18it/s] Profiling: 54%|█████▍ | 158/291 [00:01<00:00, 148.40it/s] Profiling: 60%|█████▉ | 174/291 [00:02<00:03, 31.89it/s] Profiling: 68%|██████▊ | 197/291 [00:04<00:03, 24.78it/s] Profiling: 73%|███████▎ | 213/291 [00:04<00:02, 32.07it/s] Profiling: 79%|███████▉ | 231/291 [00:04<00:01, 40.73it/s] Profiling: 86%|████████▌ | 250/291 [00:04<00:00, 53.78it/s] Profiling: 93%|█████████▎| 272/291 [00:04<00:00, 72.27it/s] Profiling: 99%|█████████▉| 288/291 [00:04<00:00, 76.27it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 61.91it/s]
inv-exponenta-alpha-7b-v6-mkmlizer: quantized model in 15.538s
inv-exponenta-alpha-7b-v6-mkmlizer: Processed model Inv/Exponenta-Alpha-7B in 32.284s
inv-exponenta-alpha-7b-v6-mkmlizer: creating bucket guanaco-mkml-models
inv-exponenta-alpha-7b-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
inv-exponenta-alpha-7b-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v6
inv-exponenta-alpha-7b-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v6/config.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v6/tokenizer_config.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v6/special_tokens_map.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v6/tokenizer.model
inv-exponenta-alpha-7b-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v6/tokenizer.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v6/mkml_model.tensors
inv-exponenta-alpha-7b-v6-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
inv-exponenta-alpha-7b-v6-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.
inv-exponenta-alpha-7b-v6-mkmlizer: warnings.warn(
inv-exponenta-alpha-7b-v6-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]
inv-exponenta-alpha-7b-v6-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.
inv-exponenta-alpha-7b-v6-mkmlizer: warnings.warn(
inv-exponenta-alpha-7b-v6-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.50MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:44, 32.3MB/s] pytorch_model.bin: 4%|▍ | 62.9M/1.44G [00:00<00:07, 173MB/s] pytorch_model.bin: 8%|▊ | 115M/1.44G [00:00<00:05, 263MB/s] pytorch_model.bin: 12%|█▏ | 178M/1.44G [00:00<00:03, 343MB/s] pytorch_model.bin: 15%|█▌ | 220M/1.44G [00:01<00:05, 225MB/s] pytorch_model.bin: 20%|██ | 294M/1.44G [00:01<00:03, 324MB/s] pytorch_model.bin: 29%|██▉ | 419M/1.44G [00:01<00:02, 456MB/s] pytorch_model.bin: 36%|███▌ | 522M/1.44G [00:01<00:02, 379MB/s] pytorch_model.bin: 40%|███▉ | 574M/1.44G [00:02<00:04, 180MB/s] pytorch_model.bin: 43%|████▎ | 616M/1.44G [00:02<00:05, 165MB/s] pytorch_model.bin: 53%|█████▎ | 763M/1.44G [00:02<00:02, 294MB/s] pytorch_model.bin: 64%|██████▎ | 920M/1.44G [00:03<00:01, 453MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:03<00:00, 467MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
inv-exponenta-alpha-7b-v6-mkmlizer: Saving duration: 0.282s
inv-exponenta-alpha-7b-v6-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.079s
inv-exponenta-alpha-7b-v6-mkmlizer: creating bucket guanaco-reward-models
inv-exponenta-alpha-7b-v6-mkmlizer: Bucket 's3://guanaco-reward-models/' created
inv-exponenta-alpha-7b-v6-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward
inv-exponenta-alpha-7b-v6-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward/config.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward/special_tokens_map.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward/tokenizer_config.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward/merges.txt
inv-exponenta-alpha-7b-v6-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward/vocab.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward/tokenizer.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward/reward.tensors
Stopping job with name inv-exponenta-alpha-7b-v6-mkmlizer
%s, retrying in %s seconds...
Stopping job with name inv-exponenta-alpha-7b-v6-mkmlizer
%s, retrying in %s seconds...
Stopping job with name inv-exponenta-alpha-7b-v6-mkmlizer
%s, retrying in %s seconds...
Starting job with name inv-exponenta-alpha-7b-v6-mkmlizer
Waiting for job on inv-exponenta-alpha-7b-v6-mkmlizer to finish
inv-exponenta-alpha-7b-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
inv-exponenta-alpha-7b-v6-mkmlizer: ║ _____ __ __ ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ /___/ ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ Version: 0.6.11 ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ The license key for the current software has been verified as ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ belonging to: ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ Chai Research Corp. ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
inv-exponenta-alpha-7b-v6-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
inv-exponenta-alpha-7b-v6-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 16.5MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: README.md: 0%| | 0.00/1.18k [00:00<?, ?B/s] README.md: 100%|██████████| 1.18k/1.18k [00:00<00:00, 12.4MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: config.json: 0%| | 0.00/641 [00:00<?, ?B/s] config.json: 100%|██████████| 641/641 [00:00<00:00, 5.70MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: mergekit_config.yml: 0%| | 0.00/552 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 552/552 [00:00<00:00, 4.25MB/s]
inv-exponenta-alpha-7b-v6-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<00:20, 95.0MB/s] model-00001-of-00008.safetensors: 3%|▎ | 52.4M/1.98G [00:00<00:07, 268MB/s] model-00001-of-00008.safetensors: 4%|▍ | 83.9M/1.98G [00:00<00:08, 223MB/s] model-00001-of-00008.safetensors: 7%|▋ | 136M/1.98G [00:00<00:05, 318MB/s] model-00001-of-00008.safetensors: 15%|█▍ | 294M/1.98G [00:00<00:02, 709MB/s] model-00001-of-00008.safetensors: 19%|█▉ | 377M/1.98G [00:00<00:02, 685MB/s] model-00001-of-00008.safetensors: 31%|███ | 608M/1.98G [00:00<00:01, 1.11GB/s] model-00001-of-00008.safetensors: 43%|████▎ | 860M/1.98G [00:00<00:00, 1.45GB/s] model-00001-of-00008.safetensors: 55%|█████▌ | 1.09G/1.98G [00:01<00:00, 1.66GB/s] model-00001-of-00008.safetensors: 72%|███████▏ | 1.42G/1.98G [00:01<00:00, 2.11GB/s] model-00001-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:01<00:00, 1.53GB/s]
inv-exponenta-alpha-7b-v6-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 [00:00<00:41, 46.8MB/s] model-00002-of-00008.safetensors: 4%|▍ | 83.9M/1.95G [00:00<00:07, 241MB/s] model-00002-of-00008.safetensors: 10%|█ | 199M/1.95G [00:00<00:03, 513MB/s] model-00002-of-00008.safetensors: 17%|█▋ | 336M/1.95G [00:00<00:02, 765MB/s] model-00002-of-00008.safetensors: 27%|██▋ | 535M/1.95G [00:00<00:01, 1.10GB/s] model-00002-of-00008.safetensors: 44%|████▎ | 849M/1.95G [00:00<00:00, 1.69GB/s] model-00002-of-00008.safetensors: 58%|█████▊ | 1.12G/1.95G [00:00<00:00, 1.94GB/s] model-00002-of-00008.safetensors: 73%|███████▎ | 1.42G/1.95G [00:01<00:00, 2.21GB/s] model-00002-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:01<00:00, 1.67GB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: model-00003-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s] model-00003-of-00008.safetensors: 1%| | 10.5M/1.95G [00:00<00:32, 59.2MB/s] model-00003-of-00008.safetensors: 4%|▍ | 83.9M/1.95G [00:00<00:06, 272MB/s] model-00003-of-00008.safetensors: 8%|▊ | 157M/1.95G [00:00<00:04, 413MB/s] model-00003-of-00008.safetensors: 15%|█▍ | 283M/1.95G [00:00<00:02, 643MB/s] model-00003-of-00008.safetensors: 27%|██▋ | 524M/1.95G [00:00<00:01, 1.16GB/s] model-00003-of-00008.safetensors: 45%|████▌ | 881M/1.95G [00:00<00:00, 1.87GB/s] model-00003-of-00008.safetensors: 57%|█████▋ | 1.11G/1.95G [00:00<00:00, 1.92GB/s] model-00003-of-00008.safetensors: 68%|██████▊ | 1.32G/1.95G [00:01<00:00, 1.83GB/s] model-00003-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:01<00:00, 1.69GB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: model-00005-of-00008.safetensors: 0%| | 0.00/1.89G [00:00<?, ?B/s] model-00005-of-00008.safetensors: 1%| | 10.5M/1.89G [00:00<00:28, 66.6MB/s] model-00005-of-00008.safetensors: 4%|▍ | 83.9M/1.89G [00:00<00:04, 384MB/s] model-00005-of-00008.safetensors: 9%|▉ | 168M/1.89G [00:00<00:03, 507MB/s] model-00005-of-00008.safetensors: 12%|█▏ | 231M/1.89G [00:00<00:03, 494MB/s] model-00005-of-00008.safetensors: 19%|█▉ | 357M/1.89G [00:00<00:02, 691MB/s] model-00005-of-00008.safetensors: 36%|███▌ | 671M/1.89G [00:00<00:00, 1.41GB/s] model-00005-of-00008.safetensors: 61%|██████ | 1.15G/1.89G [00:00<00:00, 2.40GB/s] model-00005-of-00008.safetensors: 75%|███████▌ | 1.42G/1.89G [00:00<00:00, 2.29GB/s] model-00005-of-00008.safetensors: 100%|█████████▉| 1.89G/1.89G [00:01<00:00, 1.75GB/s]
inv-exponenta-alpha-7b-v6-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 [00:00<00:35, 54.3MB/s] model-00006-of-00008.safetensors: 7%|▋ | 136M/1.92G [00:00<00:03, 504MB/s] model-00006-of-00008.safetensors: 14%|█▍ | 273M/1.92G [00:00<00:02, 788MB/s] model-00006-of-00008.safetensors: 22%|██▏ | 419M/1.92G [00:00<00:01, 960MB/s] model-00006-of-00008.safetensors: 31%|███ | 587M/1.92G [00:00<00:01, 1.18GB/s] model-00006-of-00008.safetensors: 45%|████▌ | 870M/1.92G [00:00<00:00, 1.67GB/s] model-00006-of-00008.safetensors: 64%|██████▍ | 1.24G/1.92G [00:00<00:00, 2.28GB/s] model-00006-of-00008.safetensors: 85%|████████▍ | 1.63G/1.92G [00:00<00:00, 2.76GB/s] model-00006-of-00008.safetensors: 100%|█████████▉| 1.92G/1.92G [00:01<00:00, 1.84GB/s]
inv-exponenta-alpha-7b-v6-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<00:29, 65.9MB/s] model-00007-of-00008.safetensors: 5%|▍ | 94.4M/1.95G [00:00<00:04, 395MB/s] model-00007-of-00008.safetensors: 8%|▊ | 147M/1.95G [00:00<00:04, 392MB/s] model-00007-of-00008.safetensors: 10%|▉ | 189M/1.95G [00:00<00:04, 390MB/s] model-00007-of-00008.safetensors: 14%|█▍ | 273M/1.95G [00:00<00:03, 523MB/s] model-00007-of-00008.safetensors: 23%|██▎ | 440M/1.95G [00:00<00:01, 864MB/s] model-00007-of-00008.safetensors: 38%|███▊ | 734M/1.95G [00:00<00:00, 1.47GB/s] model-00007-of-00008.safetensors: 63%|██████▎ | 1.23G/1.95G [00:00<00:00, 2.48GB/s] model-00007-of-00008.safetensors: 77%|███████▋ | 1.49G/1.95G [00:01<00:00, 2.29GB/s] model-00007-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:01<00:00, 1.65GB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: model-00008-of-00008.safetensors: 0%| | 0.00/872M [00:00<?, ?B/s] model-00008-of-00008.safetensors: 0%| | 2.13M/872M [00:00<01:08, 12.7MB/s] model-00008-of-00008.safetensors: 15%|█▍ | 128M/872M [00:00<00:01, 557MB/s] model-00008-of-00008.safetensors: 25%|██▌ | 222M/872M [00:00<00:00, 694MB/s] model-00008-of-00008.safetensors: 52%|█████▏ | 453M/872M [00:00<00:00, 1.26GB/s] model-00008-of-00008.safetensors: 100%|█████████▉| 872M/872M [00:00<00:00, 1.59GB/s]
inv-exponenta-alpha-7b-v6-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, 116MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: special_tokens_map.json: 0%| | 0.00/414 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 5.00MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 14.9MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 14.8MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 59.9MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: tokenizer_config.json: 0%| | 0.00/967 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 8.02MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: Downloaded to shared memory in 12.767s
inv-exponenta-alpha-7b-v6-mkmlizer: quantizing model to /dev/shm/model_cache
inv-exponenta-alpha-7b-v6-mkmlizer: Saving mkml model at /dev/shm/model_cache
inv-exponenta-alpha-7b-v6-mkmlizer: Reading /tmp/tmp6z9vbx3o/model.safetensors.index.json
inv-exponenta-alpha-7b-v6-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<00:53, 5.45it/s] Profiling: 5%|▌ | 15/291 [00:00<00:04, 61.93it/s] Profiling: 12%|█▏ | 34/291 [00:00<00:02, 109.99it/s] Profiling: 16%|█▌ | 47/291 [00:00<00:02, 89.56it/s] Profiling: 24%|██▍ | 70/291 [00:00<00:01, 124.75it/s] Profiling: 29%|██▉ | 85/291 [00:00<00:02, 102.97it/s] Profiling: 36%|███▋ | 106/291 [00:00<00:01, 125.88it/s] Profiling: 42%|████▏ | 122/291 [00:01<00:01, 109.16it/s] Profiling: 47%|████▋ | 137/291 [00:01<00:01, 117.96it/s] Profiling: 54%|█████▍ | 158/291 [00:01<00:00, 139.10it/s] Profiling: 60%|█████▉ | 174/291 [00:02<00:03, 30.43it/s] Profiling: 68%|██████▊ | 197/291 [00:04<00:03, 23.51it/s] Profiling: 73%|███████▎ | 213/291 [00:04<00:02, 30.45it/s] Profiling: 79%|███████▉ | 231/291 [00:04<00:01, 38.18it/s] Profiling: 86%|████████▌ | 250/291 [00:04<00:00, 50.53it/s] Profiling: 93%|█████████▎| 272/291 [00:04<00:00, 68.43it/s] Profiling: 99%|█████████▉| 288/291 [00:05<00:00, 71.88it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 57.34it/s]
inv-exponenta-alpha-7b-v6-mkmlizer: quantized model in 15.371s
inv-exponenta-alpha-7b-v6-mkmlizer: Processed model Inv/Exponenta-Alpha-7B in 29.177s
inv-exponenta-alpha-7b-v6-mkmlizer: creating bucket guanaco-mkml-models
inv-exponenta-alpha-7b-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
inv-exponenta-alpha-7b-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v6
inv-exponenta-alpha-7b-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v6/special_tokens_map.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v6/tokenizer_config.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v6/config.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v6/tokenizer.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v6/tokenizer.model
inv-exponenta-alpha-7b-v6-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v6/mkml_model.tensors
inv-exponenta-alpha-7b-v6-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
inv-exponenta-alpha-7b-v6-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.
inv-exponenta-alpha-7b-v6-mkmlizer: warnings.warn(
inv-exponenta-alpha-7b-v6-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 13.1MB/s]
inv-exponenta-alpha-7b-v6-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.
inv-exponenta-alpha-7b-v6-mkmlizer: warnings.warn(
inv-exponenta-alpha-7b-v6-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 3.38MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 43.5MB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 29.1MB/s]
inv-exponenta-alpha-7b-v6-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.
inv-exponenta-alpha-7b-v6-mkmlizer: warnings.warn(
inv-exponenta-alpha-7b-v6-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:00<00:06, 216MB/s] pytorch_model.bin: 9%|▊ | 126M/1.44G [00:00<00:02, 571MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:00<00:03, 327MB/s] pytorch_model.bin: 17%|█▋ | 252M/1.44G [00:00<00:03, 344MB/s] pytorch_model.bin: 24%|██▍ | 346M/1.44G [00:00<00:02, 480MB/s] pytorch_model.bin: 36%|███▋ | 524M/1.44G [00:00<00:01, 762MB/s] pytorch_model.bin: 65%|██████▌ | 944M/1.44G [00:01<00:00, 1.62GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.23GB/s]
inv-exponenta-alpha-7b-v6-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
inv-exponenta-alpha-7b-v6-mkmlizer: Saving duration: 0.268s
inv-exponenta-alpha-7b-v6-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.434s
inv-exponenta-alpha-7b-v6-mkmlizer: creating bucket guanaco-reward-models
inv-exponenta-alpha-7b-v6-mkmlizer: Bucket 's3://guanaco-reward-models/' created
inv-exponenta-alpha-7b-v6-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward
inv-exponenta-alpha-7b-v6-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward/config.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward/special_tokens_map.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward/tokenizer_config.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward/vocab.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward/merges.txt
inv-exponenta-alpha-7b-v6-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward/tokenizer.json
inv-exponenta-alpha-7b-v6-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/inv-exponenta-alpha-7b-v6_reward/reward.tensors
Job inv-exponenta-alpha-7b-v6-mkmlizer completed after 55.4s with status: succeeded
Stopping job with name inv-exponenta-alpha-7b-v6-mkmlizer
Pipeline stage MKMLizer completed in 229.15s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service inv-exponenta-alpha-7b-v6
Ignoring service inv-exponenta-alpha-7b-v6 already deployed
Waiting for inference service inv-exponenta-alpha-7b-v6 to be ready
Inference service inv-exponenta-alpha-7b-v6 ready after 10.253819227218628s
Pipeline stage ISVCDeployer completed in 17.81s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.95774245262146s
Received healthy response to inference request in 1.1540277004241943s
Received healthy response to inference request in 2.0214362144470215s
Received healthy response to inference request in 1.4661784172058105s
Received healthy response to inference request in 1.404294490814209s
5 requests
0 failed requests
5th percentile: 1.2040810585021973
10th percentile: 1.2541344165802002
20th percentile: 1.354241132736206
30th percentile: 1.4166712760925293
40th percentile: 1.44142484664917
50th percentile: 1.4661784172058105
60th percentile: 1.6628040313720702
70th percentile: 1.85942964553833
80th percentile: 1.9704812049865723
90th percentile: 1.9959587097167968
95th percentile: 2.0086974620819094
99th percentile: 2.0188884639739992
mean time: 1.600735855102539
Pipeline stage StressChecker completed in 9.13s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
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
inv-exponenta-alpha-7b_v6 status is now deployed due to DeploymentManager action
inv-exponenta-alpha-7b_v6 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics