submission_id: abx-ai-infinite-laymons-7b_v2
developer_uid: chai_backend_admin
status: inactive
model_repo: ABX-AI/Infinite-Laymons-7B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 1.0, '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}:'}
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: 2024-04-02T17:35:14+00:00
model_name: auto_submit_ricum_miyotiyuca
model_eval_status: success
safety_score: 0.94
entertaining: 6.84
stay_in_character: 8.62
user_preference: 7.34
double_thumbs_up: 248
thumbs_up: 355
thumbs_down: 193
num_battles: 23487
num_wins: 10752
win_ratio: 0.4577851577468387
celo_rating: 1124.2
Resubmit model
Running pipeline stage MKMLizer
Starting job with name abx-ai-infinite-laymons-7b-v2-mkmlizer
Waiting for job on abx-ai-infinite-laymons-7b-v2-mkmlizer to finish
abx-ai-infinite-laymons-7b-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ _____ __ __ ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ /___/ ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ Version: 0.6.11 ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ The license key for the current software has been verified as ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ belonging to: ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ Chai Research Corp. ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ║ ║
abx-ai-infinite-laymons-7b-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
abx-ai-infinite-laymons-7b-v2-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 18.3MB/s]
abx-ai-infinite-laymons-7b-v2-mkmlizer: README.md: 0%| | 0.00/1.39k [00:00<?, ?B/s] README.md: 100%|██████████| 1.39k/1.39k [00:00<00:00, 11.7MB/s]
abx-ai-infinite-laymons-7b-v2-mkmlizer: config.json: 0%| | 0.00/643 [00:00<?, ?B/s] config.json: 100%|██████████| 643/643 [00:00<00:00, 7.86MB/s]
abx-ai-infinite-laymons-7b-v2-mkmlizer: mergekit_config.yml: 0%| | 0.00/413 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 413/413 [00:00<00:00, 3.68MB/s]
abx-ai-infinite-laymons-7b-v2-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<00:59, 33.3MB/s] model-00001-of-00008.safetensors: 1%| | 21.0M/1.98G [00:02<05:05, 6.41MB/s] model-00001-of-00008.safetensors: 3%|▎ | 52.4M/1.98G [00:03<01:46, 18.1MB/s] model-00001-of-00008.safetensors: 14%|█▍ | 273M/1.98G [00:03<00:12, 139MB/s] model-00001-of-00008.safetensors: 57%|█████▋ | 1.12G/1.98G [00:03<00:01, 668MB/s] model-00001-of-00008.safetensors: 66%|██████▌ | 1.30G/1.98G [00:04<00:01, 390MB/s] model-00001-of-00008.safetensors: 71%|███████▏ | 1.41G/1.98G [00:05<00:01, 365MB/s] model-00001-of-00008.safetensors: 76%|███████▌ | 1.51G/1.98G [00:05<00:01, 381MB/s] model-00001-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:05<00:00, 348MB/s]
abx-ai-infinite-laymons-7b-v2-mkmlizer: model-00002-of-00008.safetensors: 0%| | 0.00/2.00G [00:00<?, ?B/s] model-00002-of-00008.safetensors: 1%| | 10.5M/2.00G [00:02<08:16, 4.00MB/s] model-00002-of-00008.safetensors: 1%| | 21.0M/2.00G [00:02<03:40, 8.97MB/s] model-00002-of-00008.safetensors: 2%|▏ | 41.9M/2.00G [00:03<01:44, 18.8MB/s] model-00002-of-00008.safetensors: 7%|▋ | 147M/2.00G [00:03<00:19, 94.3MB/s] model-00002-of-00008.safetensors: 12%|█▏ | 241M/2.00G [00:03<00:10, 175MB/s] model-00002-of-00008.safetensors: 43%|████▎ | 860M/2.00G [00:03<00:01, 893MB/s] model-00002-of-00008.safetensors: 60%|██████ | 1.21G/2.00G [00:03<00:00, 1.27GB/s] model-00002-of-00008.safetensors: 75%|███████▍ | 1.49G/2.00G [00:04<00:00, 578MB/s] model-00002-of-00008.safetensors: 85%|████████▌ | 1.70G/2.00G [00:04<00:00, 614MB/s] model-00002-of-00008.safetensors: 100%|█████████▉| 2.00G/2.00G [00:05<00:00, 399MB/s]
abx-ai-infinite-laymons-7b-v2-mkmlizer: model-00003-of-00008.safetensors: 0%| | 0.00/1.92G [00:00<?, ?B/s] model-00003-of-00008.safetensors: 1%| | 10.5M/1.92G [00:02<09:02, 3.53MB/s] model-00003-of-00008.safetensors: 1%| | 21.0M/1.92G [00:03<04:34, 6.93MB/s] model-00003-of-00008.safetensors: 5%|▍ | 94.4M/1.92G [00:03<00:40, 45.1MB/s] model-00003-of-00008.safetensors: 38%|███▊ | 724M/1.92G [00:03<00:02, 481MB/s] model-00003-of-00008.safetensors: 57%|█████▋ | 1.09G/1.92G [00:03<00:01, 720MB/s] model-00003-of-00008.safetensors: 70%|███████ | 1.35G/1.92G [00:05<00:01, 335MB/s] model-00003-of-00008.safetensors: 79%|███████▊ | 1.51G/1.92G [00:05<00:01, 372MB/s] model-00003-of-00008.safetensors: 100%|█████████▉| 1.92G/1.92G [00:05<00:00, 325MB/s]
abx-ai-infinite-laymons-7b-v2-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 [00:02<08:18, 3.89MB/s] model-00005-of-00008.safetensors: 2%|▏ | 31.5M/1.95G [00:03<02:30, 12.7MB/s] model-00005-of-00008.safetensors: 7%|▋ | 136M/1.95G [00:03<00:24, 74.1MB/s] model-00005-of-00008.safetensors: 56%|█████▌ | 1.09G/1.95G [00:03<00:01, 780MB/s] model-00005-of-00008.safetensors: 70%|██████▉ | 1.36G/1.95G [00:04<00:01, 396MB/s] model-00005-of-00008.safetensors: 79%|███████▉ | 1.54G/1.95G [00:05<00:00, 430MB/s] model-00005-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:05<00:00, 370MB/s]
abx-ai-infinite-laymons-7b-v2-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 [00:02<07:51, 4.06MB/s] model-00006-of-00008.safetensors: 1%| | 21.0M/1.92G [00:02<03:33, 8.91MB/s] model-00006-of-00008.safetensors: 3%|▎ | 62.9M/1.92G [00:03<01:02, 29.8MB/s] model-00006-of-00008.safetensors: 58%|█████▊ | 1.11G/1.92G [00:03<00:01, 711MB/s] model-00006-of-00008.safetensors: 67%|██████▋ | 1.28G/1.92G [00:04<00:01, 567MB/s] model-00006-of-00008.safetensors: 73%|███████▎ | 1.41G/1.92G [00:04<00:01, 513MB/s] model-00006-of-00008.safetensors: 78%|███████▊ | 1.50G/1.92G [00:04<00:00, 521MB/s] model-00006-of-00008.safetensors: 83%|████████▎ | 1.59G/1.92G [00:04<00:00, 549MB/s] model-00006-of-00008.safetensors: 88%|████████▊ | 1.69G/1.92G [00:04<00:00, 611MB/s] model-00006-of-00008.safetensors: 100%|█████████▉| 1.92G/1.92G [00:04<00:00, 398MB/s]
abx-ai-infinite-laymons-7b-v2-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 [00:02<08:50, 3.65MB/s] model-00007-of-00008.safetensors: 2%|▏ | 31.5M/1.95G [00:03<02:45, 11.6MB/s] model-00007-of-00008.safetensors: 5%|▍ | 94.4M/1.95G [00:03<00:40, 45.5MB/s] model-00007-of-00008.safetensors: 11%|█ | 210M/1.95G [00:03<00:13, 126MB/s] model-00007-of-00008.safetensors: 53%|█████▎ | 1.04G/1.95G [00:03<00:01, 895MB/s] model-00007-of-00008.safetensors: 71%|███████ | 1.38G/1.95G [00:04<00:00, 752MB/s] model-00007-of-00008.safetensors: 84%|████████▍ | 1.63G/1.95G [00:05<00:00, 527MB/s] model-00007-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:05<00:00, 376MB/s]
abx-ai-infinite-laymons-7b-v2-mkmlizer: model-00008-of-00008.safetensors: 0%| | 0.00/789M [00:00<?, ?B/s] model-00008-of-00008.safetensors: 1%|▏ | 10.5M/789M [00:02<02:33, 5.07MB/s] model-00008-of-00008.safetensors: 11%|█ | 83.9M/789M [00:02<00:14, 49.1MB/s] model-00008-of-00008.safetensors: 22%|██▏ | 170M/789M [00:02<00:05, 113MB/s] model-00008-of-00008.safetensors: 75%|███████▍ | 589M/789M [00:02<00:00, 530MB/s] model-00008-of-00008.safetensors: 100%|█████████▉| 789M/789M [00:05<00:00, 154MB/s]
abx-ai-infinite-laymons-7b-v2-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, 161MB/s]
abx-ai-infinite-laymons-7b-v2-mkmlizer: special_tokens_map.json: 0%| | 0.00/414 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 414/414 [00:00<00:00, 3.97MB/s]
abx-ai-infinite-laymons-7b-v2-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 18.0MB/s]
abx-ai-infinite-laymons-7b-v2-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 28.1MB/s]
abx-ai-infinite-laymons-7b-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/967 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 967/967 [00:00<00:00, 12.9MB/s]
abx-ai-infinite-laymons-7b-v2-mkmlizer: Downloaded to shared memory in 55.226s
abx-ai-infinite-laymons-7b-v2-mkmlizer: quantizing model to /dev/shm/model_cache
abx-ai-infinite-laymons-7b-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
abx-ai-infinite-laymons-7b-v2-mkmlizer: Reading /tmp/tmp571qaxc_/model.safetensors.index.json
abx-ai-infinite-laymons-7b-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<00:31, 9.25it/s] Profiling: 4%|▍ | 12/291 [00:00<00:04, 63.33it/s] Profiling: 8%|▊ | 23/291 [00:00<00:03, 79.33it/s] Profiling: 13%|█▎ | 38/291 [00:00<00:03, 70.43it/s] Profiling: 18%|█▊ | 52/291 [00:00<00:02, 85.88it/s] Profiling: 21%|██▏ | 62/291 [00:00<00:02, 89.10it/s] Profiling: 25%|██▍ | 72/291 [00:00<00:02, 91.97it/s] Profiling: 29%|██▊ | 83/291 [00:02<00:09, 21.76it/s] Profiling: 33%|███▎ | 95/291 [00:02<00:06, 29.53it/s] Profiling: 38%|███▊ | 111/291 [00:02<00:04, 42.62it/s] Profiling: 42%|████▏ | 121/291 [00:02<00:03, 43.99it/s] Profiling: 46%|████▌ | 133/291 [00:02<00:02, 53.70it/s] Profiling: 49%|████▉ | 143/291 [00:02<00:02, 60.86it/s] Profiling: 54%|█████▍ | 158/291 [00:03<00:02, 64.47it/s] Profiling: 58%|█████▊ | 168/291 [00:03<00:01, 70.68it/s] Profiling: 62%|██████▏ | 179/291 [00:03<00:01, 77.13it/s] Profiling: 67%|██████▋ | 195/291 [00:03<00:01, 95.16it/s] Profiling: 71%|███████ | 207/291 [00:04<00:03, 23.92it/s] Profiling: 75%|███████▍ | 218/291 [00:04<00:02, 30.12it/s] Profiling: 80%|███████▉ | 232/291 [00:05<00:01, 40.54it/s] Profiling: 84%|████████▎ | 243/291 [00:05<00:01, 45.02it/s] Profiling: 87%|████████▋ | 254/291 [00:05<00:00, 53.75it/s] Profiling: 91%|█████████ | 264/291 [00:05<00:00, 61.17it/s] Profiling: 96%|█████████▌| 278/291 [00:05<00:00, 67.14it/s] Profiling: 99%|█████████▉| 288/291 [00:05<00:00, 70.52it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 50.54it/s]
abx-ai-infinite-laymons-7b-v2-mkmlizer: quantized model in 17.107s
abx-ai-infinite-laymons-7b-v2-mkmlizer: Processed model ABX-AI/Infinite-Laymons-7B in 73.413s
abx-ai-infinite-laymons-7b-v2-mkmlizer: creating bucket guanaco-mkml-models
abx-ai-infinite-laymons-7b-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
abx-ai-infinite-laymons-7b-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/abx-ai-infinite-laymons-7b-v2
abx-ai-infinite-laymons-7b-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/abx-ai-infinite-laymons-7b-v2/config.json
abx-ai-infinite-laymons-7b-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/abx-ai-infinite-laymons-7b-v2/special_tokens_map.json
abx-ai-infinite-laymons-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/abx-ai-infinite-laymons-7b-v2/tokenizer.model
abx-ai-infinite-laymons-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/abx-ai-infinite-laymons-7b-v2/tokenizer_config.json
abx-ai-infinite-laymons-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/abx-ai-infinite-laymons-7b-v2/tokenizer.json
abx-ai-infinite-laymons-7b-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/abx-ai-infinite-laymons-7b-v2/mkml_model.tensors
abx-ai-infinite-laymons-7b-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
abx-ai-infinite-laymons-7b-v2-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.
abx-ai-infinite-laymons-7b-v2-mkmlizer: warnings.warn(
abx-ai-infinite-laymons-7b-v2-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 9.99MB/s]
abx-ai-infinite-laymons-7b-v2-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.
abx-ai-infinite-laymons-7b-v2-mkmlizer: warnings.warn(
abx-ai-infinite-laymons-7b-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.27MB/s]
abx-ai-infinite-laymons-7b-v2-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:21, 68.1MB/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:00<00:13, 108MB/s] pytorch_model.bin: 7%|▋ | 94.4M/1.44G [00:00<00:04, 291MB/s] pytorch_model.bin: 9%|▉ | 136M/1.44G [00:00<00:03, 330MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:00<00:03, 403MB/s] pytorch_model.bin: 20%|█▉ | 283M/1.44G [00:00<00:02, 522MB/s] pytorch_model.bin: 27%|██▋ | 388M/1.44G [00:00<00:01, 656MB/s] pytorch_model.bin: 32%|███▏ | 461M/1.44G [00:00<00:01, 667MB/s] pytorch_model.bin: 42%|████▏ | 608M/1.44G [00:01<00:00, 894MB/s] pytorch_model.bin: 50%|████▉ | 721M/1.44G [00:01<00:00, 843MB/s] pytorch_model.bin: 59%|█████▉ | 857M/1.44G [00:01<00:00, 981MB/s] pytorch_model.bin: 69%|██████▉ | 994M/1.44G [00:01<00:00, 1.08GB/s] pytorch_model.bin: 88%|████████▊ | 1.28G/1.44G [00:01<00:00, 1.56GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 987MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 772MB/s]
abx-ai-infinite-laymons-7b-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
abx-ai-infinite-laymons-7b-v2-mkmlizer: Saving duration: 0.266s
abx-ai-infinite-laymons-7b-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.908s
abx-ai-infinite-laymons-7b-v2-mkmlizer: creating bucket guanaco-reward-models
abx-ai-infinite-laymons-7b-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
abx-ai-infinite-laymons-7b-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/abx-ai-infinite-laymons-7b-v2_reward
abx-ai-infinite-laymons-7b-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/abx-ai-infinite-laymons-7b-v2_reward/config.json
abx-ai-infinite-laymons-7b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/abx-ai-infinite-laymons-7b-v2_reward/tokenizer_config.json
abx-ai-infinite-laymons-7b-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/abx-ai-infinite-laymons-7b-v2_reward/special_tokens_map.json
abx-ai-infinite-laymons-7b-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/abx-ai-infinite-laymons-7b-v2_reward/vocab.json
abx-ai-infinite-laymons-7b-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/abx-ai-infinite-laymons-7b-v2_reward/merges.txt
abx-ai-infinite-laymons-7b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/abx-ai-infinite-laymons-7b-v2_reward/tokenizer.json
abx-ai-infinite-laymons-7b-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/abx-ai-infinite-laymons-7b-v2_reward/reward.tensors
Job abx-ai-infinite-laymons-7b-v2-mkmlizer completed after 106.41s with status: succeeded
Stopping job with name abx-ai-infinite-laymons-7b-v2-mkmlizer
Pipeline stage MKMLizer completed in 111.70s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service abx-ai-infinite-laymons-7b-v2
Waiting for inference service abx-ai-infinite-laymons-7b-v2 to be ready
Inference service abx-ai-infinite-laymons-7b-v2 ready after 60.583173751831055s
Pipeline stage ISVCDeployer completed in 68.10s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.4980313777923584s
Received healthy response to inference request in 0.6736903190612793s
Received healthy response to inference request in 0.9510362148284912s
Received healthy response to inference request in 1.0517292022705078s
Received healthy response to inference request in 0.7350592613220215s
5 requests
0 failed requests
5th percentile: 0.6859641075134277
10th percentile: 0.6982378959655762
20th percentile: 0.722785472869873
30th percentile: 0.7782546520233155
40th percentile: 0.8646454334259034
50th percentile: 0.9510362148284912
60th percentile: 0.9913134098052978
70th percentile: 1.0315906047821044
80th percentile: 1.140989637374878
90th percentile: 1.3195105075836182
95th percentile: 1.4087709426879882
99th percentile: 1.4801792907714844
mean time: 0.9819092750549316
Pipeline stage StressChecker completed in 5.75s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
abx-ai-infinite-laymons-7b_v2 status is now deployed due to DeploymentManager action
abx-ai-infinite-laymons-7b_v2 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics