submission_id: cycy233-l3i-ss-v0-c4_v1
developer_uid: shiroe40
alignment_samples: 10851
alignment_score: -0.3384331536613908
best_of: 16
celo_rating: 1188.5
display_name: auto
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
is_internal_developer: False
language_model: cycy233/L3i-ss-v0-c4
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3i-ss-v0-c4
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3i-ss-v0-c4
model_size: 8B
num_battles: 10851
num_wins: 4945
propriety_score: 0.7126903553299493
propriety_total_count: 985.0
ranking_group: single
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'}
reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-15T01:00:30+00:00
us_pacific_date: 2024-08-14
win_ratio: 0.4557183669707861
Download Preferencedata
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3i-ss-v0-c4-v1-mkmlizer
Waiting for job on cycy233-l3i-ss-v0-c4-v1-mkmlizer to finish
cycy233-l3i-ss-v0-c4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-l3i-ss-v0-c4-v1-mkmlizer: ║ ║
cycy233-l3i-ss-v0-c4-v1-mkmlizer: ║ Version: 0.9.9 ║
cycy233-l3i-ss-v0-c4-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3i-ss-v0-c4-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-l3i-ss-v0-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3i-ss-v0-c4-v1-mkmlizer: Downloaded to shared memory in 43.350s
cycy233-l3i-ss-v0-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpa258vro1, device:0
cycy233-l3i-ss-v0-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3i-ss-v0-c4-v1-mkmlizer: quantized model in 26.172s
cycy233-l3i-ss-v0-c4-v1-mkmlizer: Processed model cycy233/L3i-ss-v0-c4 in 69.522s
cycy233-l3i-ss-v0-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3i-ss-v0-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3i-ss-v0-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3i-ss-v0-c4-v1
cycy233-l3i-ss-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3i-ss-v0-c4-v1/config.json
cycy233-l3i-ss-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3i-ss-v0-c4-v1/special_tokens_map.json
cycy233-l3i-ss-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3i-ss-v0-c4-v1/tokenizer_config.json
cycy233-l3i-ss-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3i-ss-v0-c4-v1/tokenizer.json
cycy233-l3i-ss-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3i-ss-v0-c4-v1/flywheel_model.0.safetensors
cycy233-l3i-ss-v0-c4-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3i-ss-v0-c4-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%|▏ | 4/291 [00:00<00:07, 38.13it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:04, 67.17it/s] Loading 0: 9%|▊ | 25/291 [00:00<00:03, 76.75it/s] Loading 0: 12%|█▏ | 34/291 [00:00<00:03, 79.90it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:02, 89.64it/s] Loading 0: 21%|██ | 61/291 [00:00<00:02, 87.35it/s] Loading 0: 26%|██▌ | 76/291 [00:00<00:02, 92.46it/s] Loading 0: 30%|██▉ | 86/291 [00:02<00:08, 25.36it/s] Loading 0: 32%|███▏ | 94/291 [00:02<00:06, 29.94it/s] Loading 0: 35%|███▌ | 103/291 [00:02<00:05, 36.27it/s] Loading 0: 38%|███▊ | 112/291 [00:02<00:04, 43.04it/s] Loading 0: 42%|████▏ | 121/291 [00:02<00:03, 50.29it/s] Loading 0: 45%|████▍ | 130/291 [00:02<00:02, 57.63it/s] Loading 0: 48%|████▊ | 139/291 [00:02<00:02, 63.95it/s] Loading 0: 51%|█████ | 148/291 [00:02<00:02, 68.88it/s] Loading 0: 54%|█████▍ | 157/291 [00:02<00:01, 74.02it/s] Loading 0: 58%|█████▊ | 168/291 [00:03<00:01, 83.29it/s] Loading 0: 61%|██████ | 178/291 [00:03<00:01, 76.84it/s] Loading 0: 64%|██████▍ | 187/291 [00:04<00:04, 21.97it/s] Loading 0: 67%|██████▋ | 196/291 [00:04<00:03, 28.01it/s] Loading 0: 70%|███████ | 205/291 [00:04<00:02, 34.72it/s] Loading 0: 74%|███████▎ | 214/291 [00:04<00:01, 41.58it/s] Loading 0: 77%|███████▋ | 223/291 [00:04<00:01, 47.04it/s] Loading 0: 80%|███████▉ | 232/291 [00:04<00:01, 53.44it/s] Loading 0: 85%|████████▍ | 247/291 [00:05<00:00, 64.72it/s] Loading 0: 88%|████████▊ | 256/291 [00:05<00:00, 68.71it/s] Loading 0: 91%|█████████ | 265/291 [00:05<00:00, 72.77it/s] Loading 0: 95%|█████████▌| 277/291 [00:05<00:00, 77.03it/s] Loading 0: 99%|█████████▊| 287/291 [00:05<00:00, 46.36it/s] /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:957: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3i-ss-v0-c4-v1-mkmlizer: warnings.warn(
cycy233-l3i-ss-v0-c4-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:785: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3i-ss-v0-c4-v1-mkmlizer: warnings.warn(
cycy233-l3i-ss-v0-c4-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3i-ss-v0-c4-v1-mkmlizer: warnings.warn(
cycy233-l3i-ss-v0-c4-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3i-ss-v0-c4-v1-mkmlizer: Saving duration: 1.404s
cycy233-l3i-ss-v0-c4-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.476s
cycy233-l3i-ss-v0-c4-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3i-ss-v0-c4-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3i-ss-v0-c4-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3i-ss-v0-c4-v1_reward
cycy233-l3i-ss-v0-c4-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3i-ss-v0-c4-v1_reward/special_tokens_map.json
cycy233-l3i-ss-v0-c4-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3i-ss-v0-c4-v1_reward/config.json
cycy233-l3i-ss-v0-c4-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3i-ss-v0-c4-v1_reward/tokenizer_config.json
cycy233-l3i-ss-v0-c4-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3i-ss-v0-c4-v1_reward/merges.txt
cycy233-l3i-ss-v0-c4-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3i-ss-v0-c4-v1_reward/vocab.json
cycy233-l3i-ss-v0-c4-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3i-ss-v0-c4-v1_reward/tokenizer.json
Job cycy233-l3i-ss-v0-c4-v1-mkmlizer completed after 116.34s with status: succeeded
Stopping job with name cycy233-l3i-ss-v0-c4-v1-mkmlizer
Pipeline stage MKMLizer completed in 116.79s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3i-ss-v0-c4-v1
Waiting for inference service cycy233-l3i-ss-v0-c4-v1 to be ready
Failed to get response for submission zonemercy-acute-nemo-v1-_4488_v1: ('http://zonemercy-acute-nemo-v1-4488-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Failed to get response for submission zonemercy-acute-nemo-v1-_4488_v1: ('http://zonemercy-acute-nemo-v1-4488-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Failed to get response for submission zonemercy-graft-cogent-v_3240_v1: ('http://zonemercy-graft-cogent-v-3240-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Inference service cycy233-l3i-ss-v0-c4-v1 ready after 221.42472100257874s
Pipeline stage ISVCDeployer completed in 222.47s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2183034420013428s
Received healthy response to inference request in 1.3907749652862549s
Received healthy response to inference request in 1.4234790802001953s
Received healthy response to inference request in 1.3178911209106445s
Received healthy response to inference request in 1.4345145225524902s
5 requests
0 failed requests
5th percentile: 1.3324678897857667
10th percentile: 1.3470446586608886
20th percentile: 1.3761981964111327
30th percentile: 1.397315788269043
40th percentile: 1.410397434234619
50th percentile: 1.4234790802001953
60th percentile: 1.4278932571411134
70th percentile: 1.4323074340820312
80th percentile: 1.591272306442261
90th percentile: 1.9047878742218018
95th percentile: 2.061545658111572
99th percentile: 2.1869518852233885
mean time: 1.5569926261901856
Pipeline stage StressChecker completed in 8.46s
cycy233-l3i-ss-v0-c4_v1 status is now deployed due to DeploymentManager action
cycy233-l3i-ss-v0-c4_v1 status is now inactive due to auto deactivation removed underperforming models
cycy233-l3i-ss-v0-c4_v1 status is now torndown due to DeploymentManager action

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