submission_id: nitral-ai-kunocchini-7b-_1360_v2
developer_uid: chai_backend_admin
status: inactive
model_repo: Nitral-AI/Kunocchini-7b-128k-test
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: 2024-04-02T17:29:50+00:00
model_name: auto_submit_ricum_gavivecaju
model_eval_status: success
safety_score: 0.98
entertaining: 6.78
stay_in_character: 8.62
user_preference: 7.26
double_thumbs_up: 228
thumbs_up: 396
thumbs_down: 215
num_battles: 23557
num_wins: 10499
win_ratio: 0.4456849344143991
celo_rating: 1115.76
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-kunocchini-7b-1360-v2-mkmlizer
Waiting for job on nitral-ai-kunocchini-7b-1360-v2-mkmlizer to finish
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ _____ __ __ ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ /___/ ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ Version: 0.6.11 ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ The license key for the current software has been verified as ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ belonging to: ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ Chai Research Corp. ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ║ ║
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: .gitattributes: 0%| | 0.00/1.60k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.60k/1.60k [00:00<00:00, 15.4MB/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: README.md: 0%| | 0.00/4.99k [00:00<?, ?B/s] README.md: 100%|██████████| 4.99k/4.99k [00:00<00:00, 55.4MB/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: (…)esets/Default-Context_With_Trimming.json: 0%| | 0.00/566 [00:00<?, ?B/s] (…)esets/Default-Context_With_Trimming.json: 100%|██████████| 566/566 [00:00<00:00, 7.86MB/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: (…)resets/Yes_This_Is_a_Textgen_Preset.json: 0%| | 0.00/1.22k [00:00<?, ?B/s] (…)resets/Yes_This_Is_a_Textgen_Preset.json: 100%|██████████| 1.22k/1.22k [00:00<00:00, 15.1MB/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: config.json: 0%| | 0.00/960 [00:00<?, ?B/s] config.json: 100%|██████████| 960/960 [00:00<00:00, 10.5MB/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: mergekit_config.yml: 0%| | 0.00/434 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 434/434 [00:00<00:00, 4.63MB/s]
nitral-ai-kunocchini-7b-1360-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 [00:01<03:24, 9.63MB/s] model-00001-of-00008.safetensors: 1%| | 21.0M/1.98G [00:01<02:23, 13.6MB/s] model-00001-of-00008.safetensors: 5%|▍ | 94.4M/1.98G [00:01<00:22, 82.5MB/s] model-00001-of-00008.safetensors: 6%|▋ | 126M/1.98G [00:01<00:18, 102MB/s] model-00001-of-00008.safetensors: 8%|▊ | 157M/1.98G [00:02<00:16, 114MB/s] model-00001-of-00008.safetensors: 11%|█ | 210M/1.98G [00:02<00:11, 149MB/s] model-00001-of-00008.safetensors: 14%|█▍ | 273M/1.98G [00:02<00:08, 196MB/s] model-00001-of-00008.safetensors: 19%|█▉ | 377M/1.98G [00:02<00:05, 320MB/s] model-00001-of-00008.safetensors: 22%|██▏ | 440M/1.98G [00:02<00:04, 350MB/s] model-00001-of-00008.safetensors: 25%|██▍ | 493M/1.98G [00:02<00:04, 367MB/s] model-00001-of-00008.safetensors: 29%|██▊ | 566M/1.98G [00:03<00:03, 434MB/s] model-00001-of-00008.safetensors: 42%|████▏ | 839M/1.98G [00:03<00:01, 951MB/s] model-00001-of-00008.safetensors: 67%|██████▋ | 1.32G/1.98G [00:03<00:00, 1.87GB/s] model-00001-of-00008.safetensors: 78%|███████▊ | 1.55G/1.98G [00:03<00:00, 1.12GB/s] model-00001-of-00008.safetensors: 87%|████████▋ | 1.73G/1.98G [00:03<00:00, 1.14GB/s] model-00001-of-00008.safetensors: 95%|█████████▌| 1.89G/1.98G [00:03<00:00, 1.09GB/s] model-00001-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:04<00:00, 481MB/s]
nitral-ai-kunocchini-7b-1360-v2-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<01:15, 25.7MB/s] model-00002-of-00008.safetensors: 1%| | 21.0M/1.95G [00:00<01:10, 27.4MB/s] model-00002-of-00008.safetensors: 2%|▏ | 31.5M/1.95G [00:01<00:58, 33.0MB/s] model-00002-of-00008.safetensors: 2%|▏ | 41.9M/1.95G [00:01<00:56, 33.9MB/s] model-00002-of-00008.safetensors: 3%|▎ | 62.9M/1.95G [00:01<00:33, 55.8MB/s] model-00002-of-00008.safetensors: 6%|▌ | 115M/1.95G [00:01<00:14, 125MB/s] model-00002-of-00008.safetensors: 7%|▋ | 136M/1.95G [00:01<00:13, 137MB/s] model-00002-of-00008.safetensors: 8%|▊ | 157M/1.95G [00:01<00:14, 121MB/s] model-00002-of-00008.safetensors: 10%|▉ | 189M/1.95G [00:02<00:11, 149MB/s] model-00002-of-00008.safetensors: 12%|█▏ | 231M/1.95G [00:02<00:10, 157MB/s] model-00002-of-00008.safetensors: 13%|█▎ | 262M/1.95G [00:02<00:10, 162MB/s] model-00002-of-00008.safetensors: 16%|█▌ | 315M/1.95G [00:02<00:07, 224MB/s] model-00002-of-00008.safetensors: 19%|█▉ | 377M/1.95G [00:02<00:05, 307MB/s] model-00002-of-00008.safetensors: 25%|██▍ | 482M/1.95G [00:02<00:03, 475MB/s] model-00002-of-00008.safetensors: 28%|██▊ | 545M/1.95G [00:02<00:03, 463MB/s] model-00002-of-00008.safetensors: 31%|███ | 608M/1.95G [00:03<00:02, 454MB/s] model-00002-of-00008.safetensors: 42%|████▏ | 818M/1.95G [00:03<00:01, 842MB/s] model-00002-of-00008.safetensors: 71%|███████ | 1.38G/1.95G [00:03<00:00, 1.99GB/s] model-00002-of-00008.safetensors: 82%|████████▏ | 1.60G/1.95G [00:03<00:00, 1.23GB/s] model-00002-of-00008.safetensors: 91%|█████████▏| 1.78G/1.95G [00:03<00:00, 1.01GB/s] model-00002-of-00008.safetensors: 99%|█████████▉| 1.93G/1.95G [00:04<00:00, 995MB/s] model-00002-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:04<00:00, 451MB/s]
Retrying (%r) after connection broken by '%r': %s
nitral-ai-kunocchini-7b-1360-v2-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 [00:01<04:56, 6.62MB/s] model-00003-of-00008.safetensors: 1%| | 21.0M/1.97G [00:01<02:15, 14.4MB/s] model-00003-of-00008.safetensors: 2%|▏ | 41.9M/1.97G [00:02<01:13, 26.4MB/s] model-00003-of-00008.safetensors: 3%|▎ | 52.4M/1.97G [00:02<00:59, 32.1MB/s] model-00003-of-00008.safetensors: 4%|▍ | 83.9M/1.97G [00:02<00:29, 64.2MB/s] model-00003-of-00008.safetensors: 7%|▋ | 136M/1.97G [00:02<00:15, 116MB/s] model-00003-of-00008.safetensors: 9%|▊ | 168M/1.97G [00:02<00:13, 132MB/s] model-00003-of-00008.safetensors: 11%|█ | 220M/1.97G [00:02<00:09, 189MB/s] model-00003-of-00008.safetensors: 18%|█▊ | 357M/1.97G [00:03<00:04, 386MB/s] model-00003-of-00008.safetensors: 21%|██▏ | 419M/1.97G [00:03<00:04, 345MB/s] model-00003-of-00008.safetensors: 25%|██▍ | 493M/1.97G [00:03<00:03, 406MB/s] model-00003-of-00008.safetensors: 40%|███▉ | 786M/1.97G [00:03<00:01, 921MB/s] model-00003-of-00008.safetensors: 66%|██████▌ | 1.30G/1.97G [00:03<00:00, 1.87GB/s] model-00003-of-00008.safetensors: 78%|███████▊ | 1.54G/1.97G [00:03<00:00, 1.17GB/s] model-00003-of-00008.safetensors: 88%|████████▊ | 1.73G/1.97G [00:04<00:00, 1.05GB/s] model-00003-of-00008.safetensors: 96%|█████████▌| 1.89G/1.97G [00:04<00:00, 1.10GB/s] model-00003-of-00008.safetensors: 100%|█████████▉| 1.97G/1.97G [00:04<00:00, 442MB/s]
nitral-ai-kunocchini-7b-1360-v2-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 [00:01<04:04, 8.05MB/s] model-00004-of-00008.safetensors: 1%| | 21.0M/1.98G [00:01<01:57, 16.7MB/s] model-00004-of-00008.safetensors: 3%|▎ | 52.4M/1.98G [00:01<00:44, 43.6MB/s] model-00004-of-00008.safetensors: 4%|▍ | 83.9M/1.98G [00:01<00:24, 77.2MB/s] model-00004-of-00008.safetensors: 6%|▋ | 126M/1.98G [00:01<00:14, 125MB/s] model-00004-of-00008.safetensors: 8%|▊ | 157M/1.98G [00:02<00:14, 128MB/s] model-00004-of-00008.safetensors: 11%|█ | 210M/1.98G [00:02<00:09, 193MB/s] model-00004-of-00008.safetensors: 12%|█▏ | 241M/1.98G [00:02<00:08, 212MB/s] model-00004-of-00008.safetensors: 14%|█▍ | 273M/1.98G [00:02<00:07, 227MB/s] model-00004-of-00008.safetensors: 17%|█▋ | 336M/1.98G [00:02<00:05, 307MB/s] model-00004-of-00008.safetensors: 24%|██▍ | 482M/1.98G [00:02<00:02, 582MB/s] model-00004-of-00008.safetensors: 31%|███ | 619M/1.98G [00:02<00:01, 757MB/s] model-00004-of-00008.safetensors: 36%|███▌ | 713M/1.98G [00:03<00:01, 651MB/s] model-00004-of-00008.safetensors: 44%|████▍ | 881M/1.98G [00:03<00:01, 887MB/s] model-00004-of-00008.safetensors: 69%|██████▉ | 1.36G/1.98G [00:03<00:00, 1.61GB/s] model-00004-of-00008.safetensors: 77%|███████▋ | 1.53G/1.98G [00:03<00:00, 1.01GB/s] model-00004-of-00008.safetensors: 85%|████████▍ | 1.68G/1.98G [00:03<00:00, 1.05GB/s] model-00004-of-00008.safetensors: 91%|█████████ | 1.80G/1.98G [00:03<00:00, 920MB/s] model-00004-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:04<00:00, 856MB/s] model-00004-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:04<00:00, 461MB/s]
nitral-ai-kunocchini-7b-1360-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 [00:01<03:22, 9.56MB/s] model-00005-of-00008.safetensors: 1%| | 21.0M/1.95G [00:01<01:40, 19.1MB/s] model-00005-of-00008.safetensors: 2%|▏ | 31.5M/1.95G [00:01<01:04, 29.5MB/s] model-00005-of-00008.safetensors: 3%|▎ | 62.9M/1.95G [00:01<00:26, 69.9MB/s] model-00005-of-00008.safetensors: 4%|▍ | 83.9M/1.95G [00:01<00:26, 70.6MB/s] model-00005-of-00008.safetensors: 5%|▌ | 105M/1.95G [00:01<00:20, 91.1MB/s] model-00005-of-00008.safetensors: 6%|▋ | 126M/1.95G [00:02<00:16, 112MB/s] model-00005-of-00008.safetensors: 8%|▊ | 147M/1.95G [00:02<00:14, 128MB/s] model-00005-of-00008.safetensors: 9%|▊ | 168M/1.95G [00:02<00:14, 120MB/s] model-00005-of-00008.safetensors: 11%|█ | 210M/1.95G [00:02<00:09, 182MB/s] model-00005-of-00008.safetensors: 12%|█▏ | 241M/1.95G [00:02<00:08, 194MB/s] model-00005-of-00008.safetensors: 18%|█▊ | 346M/1.95G [00:02<00:04, 386MB/s] model-00005-of-00008.safetensors: 26%|██▌ | 503M/1.95G [00:02<00:02, 581MB/s] model-00005-of-00008.safetensors: 29%|██▉ | 566M/1.95G [00:03<00:03, 436MB/s] model-00005-of-00008.safetensors: 37%|███▋ | 724M/1.95G [00:03<00:01, 656MB/s] model-00005-of-00008.safetensors: 66%|██████▌ | 1.28G/1.95G [00:03<00:00, 1.66GB/s] model-00005-of-00008.safetensors: 76%|███████▋ | 1.48G/1.95G [00:03<00:00, 988MB/s] model-00005-of-00008.safetensors: 84%|████████▍ | 1.64G/1.95G [00:04<00:00, 835MB/s] model-00005-of-00008.safetensors: 91%|█████████ | 1.77G/1.95G [00:04<00:00, 682MB/s] model-00005-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:04<00:00, 435MB/s]
nitral-ai-kunocchini-7b-1360-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 [00:00<01:15, 25.5MB/s] model-00006-of-00008.safetensors: 1%| | 21.0M/1.92G [00:00<01:15, 25.1MB/s] model-00006-of-00008.safetensors: 2%|▏ | 31.5M/1.92G [00:01<01:06, 28.6MB/s] model-00006-of-00008.safetensors: 2%|▏ | 41.9M/1.92G [00:01<01:09, 27.2MB/s] model-00006-of-00008.safetensors: 3%|▎ | 62.9M/1.92G [00:01<00:40, 45.9MB/s] model-00006-of-00008.safetensors: 4%|▍ | 83.9M/1.92G [00:02<00:37, 49.2MB/s] model-00006-of-00008.safetensors: 5%|▍ | 94.4M/1.92G [00:02<00:34, 53.2MB/s] model-00006-of-00008.safetensors: 6%|▌ | 115M/1.92G [00:02<00:26, 69.5MB/s] model-00006-of-00008.safetensors: 7%|▋ | 126M/1.92G [00:02<00:25, 71.7MB/s] model-00006-of-00008.safetensors: 9%|▉ | 178M/1.92G [00:02<00:11, 149MB/s] model-00006-of-00008.safetensors: 10%|█ | 199M/1.92G [00:02<00:11, 155MB/s] model-00006-of-00008.safetensors: 12%|█▏ | 231M/1.92G [00:02<00:09, 184MB/s] model-00006-of-00008.safetensors: 16%|█▋ | 315M/1.92G [00:03<00:04, 329MB/s] model-00006-of-00008.safetensors: 20%|██ | 388M/1.92G [00:03<00:03, 420MB/s] model-00006-of-00008.safetensors: 23%|██▎ | 440M/1.92G [00:03<00:04, 368MB/s] model-00006-of-00008.safetensors: 27%|██▋ | 514M/1.92G [00:03<00:03, 452MB/s] model-00006-of-00008.safetensors: 45%|████▍ | 860M/1.92G [00:03<00:00, 1.19GB/s] model-00006-of-00008.safetensors: 65%|██████▌ | 1.26G/1.92G [00:03<00:00, 1.69GB/s] model-00006-of-00008.safetensors: 75%|███████▍ | 1.44G/1.92G [00:04<00:00, 705MB/s] model-00006-of-00008.safetensors: 82%|████████▏ | 1.58G/1.92G [00:04<00:00, 611MB/s] model-00006-of-00008.safetensors: 87%|████████▋ | 1.68G/1.92G [00:04<00:00, 621MB/s] model-00006-of-00008.safetensors: 93%|█████████▎| 1.80G/1.92G [00:04<00:00, 695MB/s] model-00006-of-00008.safetensors: 100%|█████████▉| 1.92G/1.92G [00:05<00:00, 383MB/s]
nitral-ai-kunocchini-7b-1360-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 [00:01<04:52, 6.62MB/s] model-00007-of-00008.safetensors: 1%| | 21.0M/1.95G [00:01<02:28, 13.0MB/s] model-00007-of-00008.safetensors: 4%|▍ | 73.4M/1.95G [00:01<00:30, 60.5MB/s] model-00007-of-00008.safetensors: 5%|▌ | 105M/1.95G [00:02<00:28, 64.6MB/s] model-00007-of-00008.safetensors: 9%|▉ | 178M/1.95G [00:02<00:12, 136MB/s] model-00007-of-00008.safetensors: 13%|█▎ | 252M/1.95G [00:02<00:07, 212MB/s] model-00007-of-00008.safetensors: 18%|█▊ | 346M/1.95G [00:02<00:04, 327MB/s] model-00007-of-00008.safetensors: 24%|██▎ | 461M/1.95G [00:02<00:03, 478MB/s] model-00007-of-00008.safetensors: 28%|██▊ | 545M/1.95G [00:02<00:02, 480MB/s] model-00007-of-00008.safetensors: 34%|███▍ | 661M/1.95G [00:03<00:02, 615MB/s] model-00007-of-00008.safetensors: 61%|██████▏ | 1.20G/1.95G [00:03<00:00, 1.67GB/s] model-00007-of-00008.safetensors: 73%|███████▎ | 1.42G/1.95G [00:03<00:00, 908MB/s] model-00007-of-00008.safetensors: 81%|████████▏ | 1.58G/1.95G [00:03<00:00, 845MB/s] model-00007-of-00008.safetensors: 89%|████████▊ | 1.73G/1.95G [00:04<00:00, 924MB/s] model-00007-of-00008.safetensors: 96%|█████████▌| 1.86G/1.95G [00:04<00:00, 917MB/s] model-00007-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:04<00:00, 452MB/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: model-00008-of-00008.safetensors: 0%| | 0.00/789M [00:00<?, ?B/s] model-00008-of-00008.safetensors: 0%| | 2.13M/789M [00:00<05:25, 2.42MB/s] model-00008-of-00008.safetensors: 2%|▏ | 12.6M/789M [00:01<01:42, 7.55MB/s] model-00008-of-00008.safetensors: 7%|▋ | 54.6M/789M [00:02<00:18, 39.9MB/s] model-00008-of-00008.safetensors: 10%|▉ | 75.5M/789M [00:02<00:12, 55.4MB/s] model-00008-of-00008.safetensors: 22%|██▏ | 170M/789M [00:02<00:03, 160MB/s] model-00008-of-00008.safetensors: 41%|████▏ | 327M/789M [00:02<00:01, 355MB/s] model-00008-of-00008.safetensors: 57%|█████▋ | 453M/789M [00:02<00:00, 496MB/s] model-00008-of-00008.safetensors: 100%|█████████▉| 789M/789M [00:02<00:00, 303MB/s]
nitral-ai-kunocchini-7b-1360-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, 157MB/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: special_tokens_map.json: 0%| | 0.00/551 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 551/551 [00:00<00:00, 8.08MB/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 30.4MB/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 19.6MB/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/1.28k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.28k/1.28k [00:00<00:00, 14.8MB/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: Downloaded to shared memory in 37.231s
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: Reading /tmp/tmp36wsd5rx/model.safetensors.index.json
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<00:33, 8.78it/s] Profiling: 3%|▎ | 9/291 [00:00<00:05, 47.97it/s] Profiling: 8%|▊ | 22/291 [00:00<00:03, 77.39it/s] Profiling: 12%|█▏ | 34/291 [00:00<00:02, 92.55it/s] Profiling: 15%|█▌ | 44/291 [00:00<00:04, 60.13it/s] Profiling: 20%|█▉ | 58/291 [00:00<00:02, 77.89it/s] Profiling: 24%|██▎ | 69/291 [00:00<00:02, 83.13it/s] Profiling: 27%|██▋ | 80/291 [00:02<00:10, 20.57it/s] Profiling: 32%|███▏ | 92/291 [00:02<00:07, 28.11it/s] Profiling: 37%|███▋ | 108/291 [00:02<00:04, 40.69it/s] Profiling: 41%|████ | 120/291 [00:02<00:04, 41.91it/s] Profiling: 45%|████▌ | 132/291 [00:02<00:03, 50.73it/s] Profiling: 49%|████▉ | 143/291 [00:03<00:02, 58.20it/s] Profiling: 54%|█████▍ | 158/291 [00:03<00:02, 57.96it/s] Profiling: 57%|█████▋ | 167/291 [00:03<00:02, 59.85it/s] Profiling: 61%|██████ | 178/291 [00:03<00:01, 67.71it/s] Profiling: 66%|██████▌ | 191/291 [00:03<00:01, 79.58it/s] Profiling: 69%|██████▉ | 201/291 [00:05<00:04, 19.26it/s] Profiling: 72%|███████▏ | 210/291 [00:05<00:03, 23.77it/s] Profiling: 78%|███████▊ | 226/291 [00:05<00:01, 35.33it/s] Profiling: 81%|████████ | 236/291 [00:05<00:01, 37.87it/s] Profiling: 85%|████████▍ | 247/291 [00:05<00:00, 46.04it/s] Profiling: 90%|█████████ | 263/291 [00:05<00:00, 62.76it/s] Profiling: 96%|█████████▌| 278/291 [00:06<00:00, 64.49it/s] Profiling: 99%|█████████▉| 288/291 [00:06<00:00, 67.56it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 45.89it/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: quantized model in 18.558s
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: Processed model Nitral-AI/Kunocchini-7b-128k-test in 56.994s
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-kunocchini-7b-1360-v2
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-kunocchini-7b-1360-v2/tokenizer_config.json
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-kunocchini-7b-1360-v2/config.json
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-kunocchini-7b-1360-v2/tokenizer.json
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-kunocchini-7b-1360-v2/special_tokens_map.json
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/nitral-ai-kunocchini-7b-1360-v2/tokenizer.model
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/nitral-ai-kunocchini-7b-1360-v2/mkml_model.tensors
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-kunocchini-7b-1360-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.
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: warnings.warn(
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 8.19MB/s]
nitral-ai-kunocchini-7b-1360-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.
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: warnings.warn(
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.69MB/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 11.3MB/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 34.1MB/s]
nitral-ai-kunocchini-7b-1360-v2-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.
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: warnings.warn(
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:27, 52.9MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:00<00:09, 155MB/s] pytorch_model.bin: 12%|█▏ | 178M/1.44G [00:00<00:02, 577MB/s] pytorch_model.bin: 17%|█▋ | 252M/1.44G [00:00<00:01, 605MB/s] pytorch_model.bin: 23%|██▎ | 336M/1.44G [00:00<00:01, 589MB/s] pytorch_model.bin: 29%|██▉ | 419M/1.44G [00:00<00:01, 568MB/s] pytorch_model.bin: 33%|███▎ | 480M/1.44G [00:01<00:02, 448MB/s] pytorch_model.bin: 37%|███▋ | 532M/1.44G [00:01<00:02, 448MB/s] pytorch_model.bin: 45%|████▍ | 648M/1.44G [00:01<00:01, 604MB/s] pytorch_model.bin: 51%|█████ | 732M/1.44G [00:01<00:01, 603MB/s] pytorch_model.bin: 64%|██████▎ | 920M/1.44G [00:01<00:00, 915MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 861MB/s]
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: Saving duration: 0.276s
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.205s
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-kunocchini-7b-1360-v2_reward
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-kunocchini-7b-1360-v2_reward/config.json
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-kunocchini-7b-1360-v2_reward/tokenizer_config.json
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-kunocchini-7b-1360-v2_reward/merges.txt
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-kunocchini-7b-1360-v2_reward/special_tokens_map.json
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-kunocchini-7b-1360-v2_reward/vocab.json
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-kunocchini-7b-1360-v2_reward/tokenizer.json
nitral-ai-kunocchini-7b-1360-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-kunocchini-7b-1360-v2_reward/reward.tensors
Job nitral-ai-kunocchini-7b-1360-v2-mkmlizer completed after 85.9s with status: succeeded
Stopping job with name nitral-ai-kunocchini-7b-1360-v2-mkmlizer
Pipeline stage MKMLizer completed in 86.32s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-kunocchini-7b-1360-v2
Waiting for inference service nitral-ai-kunocchini-7b-1360-v2 to be ready
Inference service nitral-ai-kunocchini-7b-1360-v2 ready after 50.3127703666687s
Pipeline stage ISVCDeployer completed in 55.85s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.2244255542755127s
Received healthy response to inference request in 0.5819380283355713s
Received healthy response to inference request in 0.873969316482544s
Received healthy response to inference request in 1.0580661296844482s
Received healthy response to inference request in 0.4935603141784668s
5 requests
0 failed requests
5th percentile: 0.5112358570098877
10th percentile: 0.5289113998413086
20th percentile: 0.5642624855041504
30th percentile: 0.6403442859649658
40th percentile: 0.757156801223755
50th percentile: 0.873969316482544
60th percentile: 0.9476080417633057
70th percentile: 1.0212467670440672
80th percentile: 1.0913380146026612
90th percentile: 1.157881784439087
95th percentile: 1.1911536693572997
99th percentile: 1.21777117729187
mean time: 0.8463918685913085
Pipeline stage StressChecker completed in 5.44s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-kunocchini-7b-_1360_v2 status is now deployed due to DeploymentManager action
nitral-ai-kunocchini-7b-_1360_v2 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics