submission_id: cycy233-l3-ss-e-v2-c3_v1
developer_uid: shiroe40
alignment_samples: 10869
alignment_score: 0.030742354167148128
best_of: 16
celo_rating: 1223.88
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/L3-ss-e-v2-c3
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-ss-e-v2-c3
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-ss-e-v2-c3
model_size: 8B
num_battles: 10869
num_wins: 5546
propriety_score: 0.7161100196463654
propriety_total_count: 1018.0
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: 2024-08-14T03:47:41+00:00
us_pacific_date: 2024-08-13
win_ratio: 0.5102585334437391
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-ss-e-v2-c3-v1-mkmlizer
Waiting for job on cycy233-l3-ss-e-v2-c3-v1-mkmlizer to finish
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-l3-ss-e-v2-c3-v1-mkmlizer: ║ ║
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: ║ Version: 0.9.9 ║
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-l3-ss-e-v2-c3-v1-mkmlizer: ║ Chai Research Corp. ║
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cycy233-l3-ss-e-v2-c3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: Downloaded to shared memory in 31.250s
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwb1p1dh_, device:0
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: quantized model in 26.724s
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: Processed model cycy233/L3-ss-e-v2-c3 in 57.975s
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ss-e-v2-c3-v1
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ss-e-v2-c3-v1/config.json
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ss-e-v2-c3-v1/special_tokens_map.json
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ss-e-v2-c3-v1/tokenizer_config.json
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ss-e-v2-c3-v1/tokenizer.json
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ss-e-v2-c3-v1/flywheel_model.0.safetensors
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%|▏ | 4/291 [00:00<00:07, 37.43it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:04, 65.00it/s] Loading 0: 8%|▊ | 22/291 [00:00<00:03, 74.50it/s] Loading 0: 11%|█ | 31/291 [00:00<00:03, 79.77it/s] Loading 0: 14%|█▎ | 40/291 [00:00<00:03, 81.82it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:02, 82.49it/s] Loading 0: 20%|█▉ | 58/291 [00:00<00:02, 84.50it/s] Loading 0: 23%|██▎ | 67/291 [00:00<00:02, 84.03it/s] Loading 0: 26%|██▌ | 76/291 [00:00<00:02, 81.53it/s] Loading 0: 29%|██▉ | 85/291 [00:02<00:10, 19.68it/s] Loading 0: 32%|███▏ | 94/291 [00:02<00:07, 25.58it/s] Loading 0: 35%|███▌ | 103/291 [00:02<00:05, 32.33it/s] Loading 0: 38%|███▊ | 112/291 [00:02<00:04, 39.60it/s] Loading 0: 42%|████▏ | 121/291 [00:02<00:03, 47.04it/s] Loading 0: 45%|████▍ | 130/291 [00:02<00:02, 53.85it/s] Loading 0: 48%|████▊ | 139/291 [00:02<00:02, 60.10it/s] Loading 0: 51%|█████ | 148/291 [00:02<00:02, 65.58it/s] Loading 0: 54%|█████▍ | 157/291 [00:03<00:01, 69.01it/s] Loading 0: 57%|█████▋ | 166/291 [00:03<00:01, 68.96it/s] Loading 0: 60%|██████ | 175/291 [00:03<00:01, 71.78it/s] Loading 0: 63%|██████▎ | 184/291 [00:03<00:01, 74.99it/s] Loading 0: 66%|██████▌ | 192/291 [00:04<00:04, 21.02it/s] Loading 0: 68%|██████▊ | 198/291 [00:04<00:03, 24.36it/s] Loading 0: 70%|███████ | 205/291 [00:04<00:02, 29.44it/s] Loading 0: 74%|███████▎ | 214/291 [00:04<00:02, 37.65it/s] Loading 0: 77%|███████▋ | 223/291 [00:04<00:01, 45.39it/s] Loading 0: 80%|███████▉ | 232/291 [00:05<00:01, 52.40it/s] Loading 0: 83%|████████▎ | 241/291 [00:05<00:00, 58.23it/s] Loading 0: 86%|████████▌ | 250/291 [00:05<00:00, 63.88it/s] Loading 0: 89%|████████▉ | 259/291 [00:05<00:00, 68.20it/s] Loading 0: 92%|█████████▏| 268/291 [00:05<00:00, 71.24it/s] Loading 0: 95%|█████████▌| 277/291 [00:05<00:00, 74.27it/s] Loading 0: 98%|█████████▊| 286/291 [00:05<00:00, 76.44it/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-l3-ss-e-v2-c3-v1-mkmlizer: warnings.warn(
cycy233-l3-ss-e-v2-c3-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-l3-ss-e-v2-c3-v1-mkmlizer: warnings.warn(
cycy233-l3-ss-e-v2-c3-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-l3-ss-e-v2-c3-v1-mkmlizer: warnings.warn(
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: Saving duration: 1.424s
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 10.007s
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c3-v1_reward
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c3-v1_reward/config.json
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c3-v1_reward/special_tokens_map.json
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c3-v1_reward/tokenizer_config.json
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c3-v1_reward/merges.txt
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c3-v1_reward/vocab.json
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c3-v1_reward/tokenizer.json
cycy233-l3-ss-e-v2-c3-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c3-v1_reward/reward.tensors
Job cycy233-l3-ss-e-v2-c3-v1-mkmlizer completed after 102.77s with status: succeeded
Stopping job with name cycy233-l3-ss-e-v2-c3-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.56s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ss-e-v2-c3-v1
Waiting for inference service cycy233-l3-ss-e-v2-c3-v1 to be ready
Failed to get response for submission blend_dalem_2024-08-02: ('http://mistralai-mixtral-8x7b-3473-v102-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'readfrom tcp 127.0.0.1:48508->127.0.0.1:8080: write tcp 127.0.0.1:48508->127.0.0.1:8080: use of closed network connection\n')
Inference service cycy233-l3-ss-e-v2-c3-v1 ready after 314.0688500404358s
Pipeline stage ISVCDeployer completed in 316.71s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3116257190704346s
Received healthy response to inference request in 1.556703805923462s
Received healthy response to inference request in 1.5232763290405273s
Received healthy response to inference request in 1.4836945533752441s
Received healthy response to inference request in 1.5739750862121582s
5 requests
0 failed requests
5th percentile: 1.4916109085083007
10th percentile: 1.4995272636413575
20th percentile: 1.5153599739074708
30th percentile: 1.5299618244171143
40th percentile: 1.543332815170288
50th percentile: 1.556703805923462
60th percentile: 1.5636123180389405
70th percentile: 1.570520830154419
80th percentile: 1.7215052127838135
90th percentile: 2.016565465927124
95th percentile: 2.164095592498779
99th percentile: 2.2821196937561035
mean time: 1.6898550987243652
Pipeline stage StressChecker completed in 9.44s
cycy233-l3-ss-e-v2-c3_v1 status is now deployed due to DeploymentManager action
cycy233-l3-ss-e-v2-c3_v1 status is now inactive due to auto deactivation removed underperforming models
cycy233-l3-ss-e-v2-c3_v1 status is now torndown due to DeploymentManager action

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