developer_uid: Nitral-AI
submission_id: chaoticneutrals-prima-le_4263_v3
model_name: chaoticneutrals-prima-le_4263_v3
model_group: ChaoticNeutrals/Prima-Le
status: torndown
timestamp: 2024-03-31T21:18:06+00:00
num_battles: 11294
num_wins: 5913
celo_rating: 1174.0
family_friendly_score: 0.0
submission_type: basic
model_repo: ChaoticNeutrals/Prima-LelantaclesV5-7b
model_architecture: MistralForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: chaoticneutrals-prima-le_4263_v3
is_internal_developer: False
language_model: ChaoticNeutrals/Prima-LelantaclesV5-7b
model_size: 7B
ranking_group: single
us_pacific_date: 2024-03-31
win_ratio: 0.5235523286700903
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, '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: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
model_eval_status: success
Resubmit model
Running pipeline stage MKMLizer
Starting job with name chaoticneutrals-prima-le-4263-v3-mkmlizer
Waiting for job on chaoticneutrals-prima-le-4263-v3-mkmlizer to finish
chaoticneutrals-prima-le-4263-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ _____ __ __ ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ /___/ ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ Version: 0.6.11 ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ The license key for the current software has been verified as ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ belonging to: ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ Chai Research Corp. ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ║ ║
chaoticneutrals-prima-le-4263-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaoticneutrals-prima-le-4263-v3-mkmlizer: .gitattributes: 0%| | 0.00/1.57k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.57k/1.57k [00:00<00:00, 12.9MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: LICENSE: 0.00B [00:00, ?B/s] LICENSE: 0.00B [00:00, ?B/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: README.md: 0%| | 0.00/4.76k [00:00<?, ?B/s] README.md: 100%|██████████| 4.76k/4.76k [00:00<00:00, 44.1MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: config.json: 0%| | 0.00/651 [00:00<?, ?B/s] config.json: 100%|██████████| 651/651 [00:00<00:00, 6.50MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: imatrix.dat: 0%| | 0.00/4.99M [00:00<?, ?B/s] imatrix.dat: 100%|██████████| 4.99M/4.99M [00:00<00:00, 30.3MB/s] imatrix.dat: 100%|██████████| 4.99M/4.99M [00:00<00:00, 30.0MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: kalo-imatrix.txt: 0%| | 0.00/201k [00:00<?, ?B/s] kalo-imatrix.txt: 100%|██████████| 201k/201k [00:00<00:00, 8.66MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: mergekit_config.yml: 0%| | 0.00/270 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 270/270 [00:00<00:00, 1.58MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: model-00001-of-00008.safetensors: 0%| | 0.00/1.95G [00:00<?, ?B/s] model-00001-of-00008.safetensors: 1%| | 10.5M/1.95G [00:00<00:25, 75.1MB/s] model-00001-of-00008.safetensors: 2%|▏ | 31.5M/1.95G [00:00<00:15, 125MB/s] model-00001-of-00008.safetensors: 3%|▎ | 52.4M/1.95G [00:00<00:15, 123MB/s] model-00001-of-00008.safetensors: 8%|▊ | 157M/1.95G [00:00<00:04, 375MB/s] model-00001-of-00008.safetensors: 11%|█ | 210M/1.95G [00:00<00:04, 367MB/s] model-00001-of-00008.safetensors: 13%|█▎ | 262M/1.95G [00:00<00:04, 361MB/s] model-00001-of-00008.safetensors: 20%|██ | 398M/1.95G [00:00<00:02, 588MB/s] model-00001-of-00008.safetensors: 32%|███▏ | 619M/1.95G [00:01<00:01, 985MB/s] model-00001-of-00008.safetensors: 38%|███▊ | 744M/1.95G [00:01<00:01, 1.03GB/s] model-00001-of-00008.safetensors: 53%|█████▎ | 1.04G/1.95G [00:01<00:00, 1.54GB/s] model-00001-of-00008.safetensors: 62%|██████▏ | 1.21G/1.95G [00:01<00:00, 1.57GB/s] model-00001-of-00008.safetensors: 78%|███████▊ | 1.51G/1.95G [00:01<00:00, 1.95GB/s] model-00001-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:01<00:00, 1.83GB/s] model-00001-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:01<00:00, 1.07GB/s]
chaoticneutrals-prima-le-4263-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<01:16, 25.7MB/s] model-00003-of-00008.safetensors: 2%|▏ | 41.9M/1.97G [00:00<00:20, 92.5MB/s] model-00003-of-00008.safetensors: 9%|▉ | 178M/1.97G [00:00<00:04, 415MB/s] model-00003-of-00008.safetensors: 13%|█▎ | 262M/1.97G [00:00<00:03, 510MB/s] model-00003-of-00008.safetensors: 18%|█▊ | 346M/1.97G [00:00<00:02, 561MB/s] model-00003-of-00008.safetensors: 25%|██▍ | 493M/1.97G [00:00<00:01, 800MB/s] model-00003-of-00008.safetensors: 34%|███▍ | 671M/1.97G [00:01<00:01, 1.07GB/s] model-00003-of-00008.safetensors: 41%|████ | 807M/1.97G [00:01<00:01, 1.08GB/s] model-00003-of-00008.safetensors: 47%|████▋ | 933M/1.97G [00:01<00:00, 1.12GB/s] model-00003-of-00008.safetensors: 57%|█████▋ | 1.12G/1.97G [00:01<00:00, 1.33GB/s] model-00003-of-00008.safetensors: 64%|██████▍ | 1.27G/1.97G [00:01<00:00, 1.37GB/s] model-00003-of-00008.safetensors: 75%|███████▌ | 1.48G/1.97G [00:01<00:00, 1.54GB/s] model-00003-of-00008.safetensors: 98%|█████████▊| 1.93G/1.97G [00:01<00:00, 2.28GB/s] model-00003-of-00008.safetensors: 100%|█████████▉| 1.97G/1.97G [00:02<00:00, 932MB/s]
chaoticneutrals-prima-le-4263-v3-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<00:52, 37.3MB/s] model-00004-of-00008.safetensors: 2%|▏ | 41.9M/1.98G [00:00<00:15, 128MB/s] model-00004-of-00008.safetensors: 4%|▍ | 83.9M/1.98G [00:00<00:08, 217MB/s] model-00004-of-00008.safetensors: 8%|▊ | 168M/1.98G [00:00<00:04, 400MB/s] model-00004-of-00008.safetensors: 16%|█▌ | 315M/1.98G [00:00<00:02, 721MB/s] model-00004-of-00008.safetensors: 24%|██▍ | 472M/1.98G [00:00<00:01, 963MB/s] model-00004-of-00008.safetensors: 31%|███ | 619M/1.98G [00:00<00:01, 1.11GB/s] model-00004-of-00008.safetensors: 38%|███▊ | 744M/1.98G [00:01<00:01, 842MB/s] model-00004-of-00008.safetensors: 46%|████▌ | 902M/1.98G [00:01<00:01, 880MB/s] model-00004-of-00008.safetensors: 54%|█████▍ | 1.07G/1.98G [00:01<00:00, 1.05GB/s] model-00004-of-00008.safetensors: 60%|██████ | 1.20G/1.98G [00:01<00:00, 1.03GB/s] model-00004-of-00008.safetensors: 67%|██████▋ | 1.33G/1.98G [00:01<00:00, 1.11GB/s] model-00004-of-00008.safetensors: 83%|████████▎ | 1.64G/1.98G [00:01<00:00, 1.63GB/s] model-00004-of-00008.safetensors: 99%|█████████▉| 1.97G/1.98G [00:01<00:00, 1.96GB/s] model-00004-of-00008.safetensors: 100%|█████████▉| 1.98G/1.98G [00:02<00:00, 941MB/s]
chaoticneutrals-prima-le-4263-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<01:10, 27.5MB/s] model-00005-of-00008.safetensors: 4%|▍ | 73.4M/1.95G [00:00<00:09, 188MB/s] model-00005-of-00008.safetensors: 6%|▌ | 115M/1.95G [00:00<00:09, 199MB/s] model-00005-of-00008.safetensors: 11%|█▏ | 220M/1.95G [00:00<00:04, 401MB/s] model-00005-of-00008.safetensors: 16%|█▌ | 304M/1.95G [00:00<00:03, 510MB/s] model-00005-of-00008.safetensors: 22%|██▏ | 419M/1.95G [00:00<00:02, 661MB/s] model-00005-of-00008.safetensors: 29%|██▊ | 556M/1.95G [00:01<00:01, 826MB/s] model-00005-of-00008.safetensors: 34%|███▍ | 671M/1.95G [00:01<00:01, 901MB/s] model-00005-of-00008.safetensors: 41%|████ | 797M/1.95G [00:01<00:01, 989MB/s] model-00005-of-00008.safetensors: 51%|█████ | 986M/1.95G [00:01<00:00, 1.21GB/s] model-00005-of-00008.safetensors: 61%|██████▏ | 1.20G/1.95G [00:01<00:00, 1.46GB/s] model-00005-of-00008.safetensors: 73%|███████▎ | 1.42G/1.95G [00:01<00:00, 1.67GB/s] model-00005-of-00008.safetensors: 96%|█████████▌| 1.87G/1.95G [00:01<00:00, 2.46GB/s] model-00005-of-00008.safetensors: 100%|█████████▉| 1.95G/1.95G [00:02<00:00, 797MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: model-00007-of-00008.safetensors: 0%| | 0.00/1.99G [00:00<?, ?B/s] model-00007-of-00008.safetensors: 1%| | 10.5M/1.99G [00:00<00:55, 35.6MB/s] model-00007-of-00008.safetensors: 1%| | 21.0M/1.99G [00:00<00:39, 49.6MB/s] model-00007-of-00008.safetensors: 2%|▏ | 41.9M/1.99G [00:00<00:20, 93.9MB/s] model-00007-of-00008.safetensors: 7%|▋ | 147M/1.99G [00:00<00:05, 320MB/s] model-00007-of-00008.safetensors: 17%|█▋ | 336M/1.99G [00:00<00:02, 708MB/s] model-00007-of-00008.safetensors: 31%|███ | 608M/1.99G [00:00<00:01, 1.14GB/s] model-00007-of-00008.safetensors: 37%|███▋ | 734M/1.99G [00:01<00:01, 949MB/s] model-00007-of-00008.safetensors: 42%|████▏ | 839M/1.99G [00:01<00:01, 817MB/s] model-00007-of-00008.safetensors: 50%|████▉ | 986M/1.99G [00:01<00:01, 952MB/s] model-00007-of-00008.safetensors: 58%|█████▊ | 1.15G/1.99G [00:01<00:00, 1.11GB/s] model-00007-of-00008.safetensors: 67%|██████▋ | 1.33G/1.99G [00:01<00:00, 1.25GB/s] model-00007-of-00008.safetensors: 74%|███████▍ | 1.47G/1.99G [00:01<00:00, 1.27GB/s] model-00007-of-00008.safetensors: 82%|████████▏ | 1.62G/1.99G [00:01<00:00, 1.30GB/s] model-00007-of-00008.safetensors: 90%|████████▉ | 1.79G/1.99G [00:01<00:00, 1.37GB/s] model-00007-of-00008.safetensors: 97%|█████████▋| 1.94G/1.99G [00:02<00:00, 806MB/s] model-00007-of-00008.safetensors: 100%|█████████▉| 1.99G/1.99G [00:02<00:00, 679MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: model-00008-of-00008.safetensors: 0%| | 0.00/671M [00:00<?, ?B/s] model-00008-of-00008.safetensors: 0%| | 34.3k/671M [00:00<51:43, 216kB/s] model-00008-of-00008.safetensors: 3%|▎ | 21.0M/671M [00:00<00:06, 92.9MB/s] model-00008-of-00008.safetensors: 16%|█▌ | 105M/671M [00:00<00:01, 362MB/s] model-00008-of-00008.safetensors: 25%|██▌ | 168M/671M [00:00<00:01, 452MB/s] model-00008-of-00008.safetensors: 58%|█████▊ | 388M/671M [00:00<00:00, 981MB/s] model-00008-of-00008.safetensors: 75%|███████▌ | 503M/671M [00:00<00:00, 1.03GB/s] model-00008-of-00008.safetensors: 92%|█████████▏| 619M/671M [00:00<00:00, 1.05GB/s] model-00008-of-00008.safetensors: 100%|█████████▉| 671M/671M [00:01<00:00, 455MB/s]
chaoticneutrals-prima-le-4263-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, 85.1MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: special_tokens_map.json: 0%| | 0.00/487 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 487/487 [00:00<00:00, 4.38MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: tokenizer.json: 0%| | 0.00/1.80M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 15.7MB/s] tokenizer.json: 100%|██████████| 1.80M/1.80M [00:00<00:00, 15.5MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: tokenizer.model: 0%| | 0.00/493k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 493k/493k [00:00<00:00, 53.7MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/1.06k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.06k/1.06k [00:00<00:00, 6.18MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: Downloaded to shared memory in 26.598s
chaoticneutrals-prima-le-4263-v3-mkmlizer: quantizing model to /dev/shm/model_cache
chaoticneutrals-prima-le-4263-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
chaoticneutrals-prima-le-4263-v3-mkmlizer: Reading /tmp/tmp6uo657qh/model.safetensors.index.json
chaoticneutrals-prima-le-4263-v3-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<00:30, 9.65it/s] Profiling: 3%|▎ | 9/291 [00:00<00:05, 48.37it/s] Profiling: 8%|▊ | 23/291 [00:00<00:03, 88.66it/s] Profiling: 12%|█▏ | 34/291 [00:00<00:02, 96.30it/s] Profiling: 15%|█▌ | 44/291 [00:00<00:04, 59.02it/s] Profiling: 18%|█▊ | 53/291 [00:00<00:03, 65.90it/s] Profiling: 22%|██▏ | 65/291 [00:00<00:02, 76.59it/s] Profiling: 27%|██▋ | 80/291 [00:02<00:10, 20.48it/s] Profiling: 33%|███▎ | 95/291 [00:02<00:06, 29.79it/s] Profiling: 37%|███▋ | 108/291 [00:02<00:04, 38.82it/s] Profiling: 41%|████ | 120/291 [00:02<00:04, 42.15it/s] Profiling: 44%|████▍ | 129/291 [00:02<00:03, 47.43it/s] Profiling: 49%|████▉ | 143/291 [00:03<00:02, 60.86it/s] Profiling: 54%|█████▍ | 157/291 [00:03<00:01, 74.20it/s] Profiling: 58%|█████▊ | 168/291 [00:03<00:02, 59.28it/s] Profiling: 62%|██████▏ | 181/291 [00:03<00:01, 69.93it/s] Profiling: 68%|██████▊ | 199/291 [00:05<00:04, 22.05it/s] Profiling: 72%|███████▏ | 209/291 [00:05<00:03, 26.68it/s] Profiling: 77%|███████▋ | 223/291 [00:05<00:01, 35.84it/s] Profiling: 80%|████████ | 233/291 [00:05<00:01, 38.26it/s] Profiling: 84%|████████▍ | 244/291 [00:05<00:01, 46.44it/s] Profiling: 90%|████████▉ | 261/291 [00:05<00:00, 62.56it/s] Profiling: 96%|█████████▌| 279/291 [00:06<00:00, 71.11it/s] Profiling: 100%|█████████▉| 290/291 [00:06<00:00, 75.70it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 45.99it/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: quantized model in 17.348s
chaoticneutrals-prima-le-4263-v3-mkmlizer: Processed model ChaoticNeutrals/Prima-LelantaclesV5-7b in 45.309s
chaoticneutrals-prima-le-4263-v3-mkmlizer: creating bucket guanaco-mkml-models
chaoticneutrals-prima-le-4263-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaoticneutrals-prima-le-4263-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaoticneutrals-prima-le-4263-v3
chaoticneutrals-prima-le-4263-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaoticneutrals-prima-le-4263-v3/special_tokens_map.json
chaoticneutrals-prima-le-4263-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/chaoticneutrals-prima-le-4263-v3/tokenizer.model
chaoticneutrals-prima-le-4263-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaoticneutrals-prima-le-4263-v3/tokenizer.json
chaoticneutrals-prima-le-4263-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaoticneutrals-prima-le-4263-v3/config.json
chaoticneutrals-prima-le-4263-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaoticneutrals-prima-le-4263-v3/tokenizer_config.json
chaoticneutrals-prima-le-4263-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/chaoticneutrals-prima-le-4263-v3/mkml_model.tensors
chaoticneutrals-prima-le-4263-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
chaoticneutrals-prima-le-4263-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.
chaoticneutrals-prima-le-4263-v3-mkmlizer: warnings.warn(
chaoticneutrals-prima-le-4263-v3-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 10.7MB/s]
chaoticneutrals-prima-le-4263-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.
chaoticneutrals-prima-le-4263-v3-mkmlizer: warnings.warn(
chaoticneutrals-prima-le-4263-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.86MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 21.2MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 17.4MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 17.3MB/s]
chaoticneutrals-prima-le-4263-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.
chaoticneutrals-prima-le-4263-v3-mkmlizer: warnings.warn(
chaoticneutrals-prima-le-4263-v3-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:28, 50.3MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:00<00:10, 138MB/s] pytorch_model.bin: 4%|▍ | 62.9M/1.44G [00:00<00:08, 159MB/s] pytorch_model.bin: 7%|▋ | 94.4M/1.44G [00:00<00:06, 199MB/s] pytorch_model.bin: 9%|▊ | 126M/1.44G [00:00<00:05, 224MB/s] pytorch_model.bin: 15%|█▌ | 220M/1.44G [00:00<00:02, 434MB/s] pytorch_model.bin: 20%|██ | 294M/1.44G [00:00<00:02, 514MB/s] pytorch_model.bin: 27%|██▋ | 388M/1.44G [00:01<00:01, 582MB/s] pytorch_model.bin: 32%|███▏ | 461M/1.44G [00:01<00:01, 610MB/s] pytorch_model.bin: 40%|███▉ | 574M/1.44G [00:01<00:01, 749MB/s] pytorch_model.bin: 46%|████▌ | 658M/1.44G [00:01<00:01, 764MB/s] pytorch_model.bin: 54%|█████▍ | 784M/1.44G [00:01<00:00, 902MB/s] pytorch_model.bin: 61%|██████ | 878M/1.44G [00:01<00:00, 798MB/s] pytorch_model.bin: 72%|███████▏ | 1.04G/1.44G [00:01<00:00, 989MB/s] pytorch_model.bin: 92%|█████████▏| 1.33G/1.44G [00:01<00:00, 1.49GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 280MB/s]
chaoticneutrals-prima-le-4263-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
chaoticneutrals-prima-le-4263-v3-mkmlizer: Saving duration: 0.307s
chaoticneutrals-prima-le-4263-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 9.039s
chaoticneutrals-prima-le-4263-v3-mkmlizer: creating bucket guanaco-reward-models
Job chaoticneutrals-prima-le-4263-v3-mkmlizer completed after 75.41s with status: succeeded
Stopping job with name chaoticneutrals-prima-le-4263-v3-mkmlizer
Pipeline stage MKMLizer completed in 80.40s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service chaoticneutrals-prima-le-4263-v3
Waiting for inference service chaoticneutrals-prima-le-4263-v3 to be ready
Inference service chaoticneutrals-prima-le-4263-v3 ready after 30.16834855079651s
Pipeline stage ISVCDeployer completed in 38.10s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7121331691741943s
Received healthy response to inference request in 1.182586431503296s
Received healthy response to inference request in 1.2493045330047607s
Received healthy response to inference request in 1.0349175930023193s
Received healthy response to inference request in 1.1512794494628906s
5 requests
0 failed requests
5th percentile: 1.0581899642944337
10th percentile: 1.0814623355865478
20th percentile: 1.1280070781707763
30th percentile: 1.1575408458709717
40th percentile: 1.1700636386871337
50th percentile: 1.182586431503296
60th percentile: 1.209273672103882
70th percentile: 1.2359609127044677
80th percentile: 1.3418702602386476
90th percentile: 1.527001714706421
95th percentile: 1.6195674419403074
99th percentile: 1.693620023727417
mean time: 1.2660442352294923
Pipeline stage StressChecker completed in 7.16s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
chaoticneutrals-prima-le_4263_v3 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
chaoticneutrals-prima-le_4263_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of chaoticneutrals-prima-le_4263_v3
Running pipeline stage ISVCDeleter
Checking if service chaoticneutrals-prima-le-4263-v3 is running
Tearing down inference service chaoticneutrals-prima-le-4263-v3
Toredown service chaoticneutrals-prima-le-4263-v3
Pipeline stage ISVCDeleter completed in 7.24s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key chaoticneutrals-prima-le-4263-v3/config.json from bucket guanaco-mkml-models
Deleting key chaoticneutrals-prima-le-4263-v3/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key chaoticneutrals-prima-le-4263-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key chaoticneutrals-prima-le-4263-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key chaoticneutrals-prima-le-4263-v3/tokenizer.model from bucket guanaco-mkml-models
Deleting key chaoticneutrals-prima-le-4263-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key chaoticneutrals-prima-le-4263-v3_reward/config.json from bucket guanaco-reward-models
Deleting key chaoticneutrals-prima-le-4263-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key chaoticneutrals-prima-le-4263-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key chaoticneutrals-prima-le-4263-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key chaoticneutrals-prima-le-4263-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key chaoticneutrals-prima-le-4263-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key chaoticneutrals-prima-le-4263-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.15s
chaoticneutrals-prima-le_4263_v3 status is now torndown due to DeploymentManager action