submission_id: alkahestry-stheno-l3-8b_v2
developer_uid: alkacchi
status: inactive
model_repo: alkahestry/Stheno-L3-8B
reward_repo: Jellywibble/CHAI_alignment_reward_model
generation_params: {'temperature': 1.12, 'top_p': 0.73, 'min_p': 0.075, 'top_k': 40, 'presence_penalty': 1.24, 'frequency_penalty': 0.8, 'stopping_words': ['\n', '</s>', '<|im_end|>', '\n{{User}}', '<|eot_id|>', '<|end_of_text|>', '\n<'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '<|begin_of_text|><|start_header_id|>system\n{memory}<|end_header_id|>', 'prompt_template': '{prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}<|eot_id|>', 'response_template': '{bot_name}:', 'truncate_by_message': False}
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}:', 'truncate_by_message': False}
timestamp: 2024-06-15T12:47:15+00:00
model_name: alkacchi-llama3-8B
model_eval_status: success
model_group: alkahestry/Stheno-L3-8B
num_battles: 35571
num_wins: 14163
celo_rating: 1108.43
propriety_score: 0.7338275738371398
propriety_total_count: 16726.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: alkacchi-llama3-8B
ineligible_reason: None
language_model: alkahestry/Stheno-L3-8B
model_size: 8B
reward_model: Jellywibble/CHAI_alignment_reward_model
us_pacific_date: 2024-06-15
win_ratio: 0.39816142363161
Resubmit model
Running pipeline stage MKMLizer
Starting job with name alkahestry-stheno-l3-8b-v2-mkmlizer
Waiting for job on alkahestry-stheno-l3-8b-v2-mkmlizer to finish
alkahestry-stheno-l3-8b-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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alkahestry-stheno-l3-8b-v2-mkmlizer: ║ /___/ ║
alkahestry-stheno-l3-8b-v2-mkmlizer: ║ ║
alkahestry-stheno-l3-8b-v2-mkmlizer: ║ Version: 0.8.14 ║
alkahestry-stheno-l3-8b-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alkahestry-stheno-l3-8b-v2-mkmlizer: ║ https://mk1.ai ║
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alkahestry-stheno-l3-8b-v2-mkmlizer: ║ Chai Research Corp. ║
alkahestry-stheno-l3-8b-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alkahestry-stheno-l3-8b-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
alkahestry-stheno-l3-8b-v2-mkmlizer: ║ ║
alkahestry-stheno-l3-8b-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alkahestry-stheno-l3-8b-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
alkahestry-stheno-l3-8b-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
Retrying (%r) after connection broken by '%r': %s
alkahestry-stheno-l3-8b-v2-mkmlizer: Downloaded to shared memory in 43.351s
alkahestry-stheno-l3-8b-v2-mkmlizer: quantizing model to /dev/shm/model_cache
alkahestry-stheno-l3-8b-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alkahestry-stheno-l3-8b-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<11:21, 2.36s/it] Loading 0: 4%|▍ | 13/291 [00:04<01:16, 3.64it/s] Loading 0: 8%|▊ | 24/291 [00:04<00:33, 7.86it/s] Loading 0: 14%|█▎ | 40/291 [00:05<00:15, 15.92it/s] Loading 0: 17%|█▋ | 50/291 [00:05<00:11, 21.83it/s] Loading 0: 21%|██ | 60/291 [00:05<00:11, 20.02it/s] Loading 0: 23%|██▎ | 68/291 [00:05<00:09, 23.02it/s] Loading 0: 26%|██▌ | 75/291 [00:06<00:08, 26.83it/s] Loading 0: 28%|██▊ | 81/291 [00:06<00:08, 26.07it/s] Loading 0: 30%|██▉ | 86/291 [00:06<00:07, 26.42it/s] Loading 0: 33%|███▎ | 96/291 [00:06<00:05, 36.74it/s] Loading 0: 38%|███▊ | 112/291 [00:06<00:03, 56.48it/s] Loading 0: 42%|████▏ | 123/291 [00:06<00:02, 65.20it/s] Loading 0: 48%|████▊ | 139/291 [00:06<00:01, 82.74it/s] Loading 0: 52%|█████▏ | 150/291 [00:07<00:01, 85.07it/s] Loading 0: 57%|█████▋ | 166/291 [00:07<00:02, 58.52it/s] Loading 0: 61%|██████ | 177/291 [00:07<00:01, 64.71it/s] Loading 0: 66%|██████▋ | 193/291 [00:07<00:01, 79.73it/s] Loading 0: 70%|███████ | 204/291 [00:07<00:01, 82.47it/s] Loading 0: 76%|███████▌ | 220/291 [00:07<00:00, 95.40it/s] Loading 0: 79%|███████▉ | 231/291 [00:08<00:00, 94.17it/s] Loading 0: 85%|████████▍ | 247/291 [00:08<00:00, 105.75it/s] Loading 0: 89%|████████▉ | 259/291 [00:08<00:00, 103.77it/s] Loading 0: 93%|█████████▎| 270/291 [00:08<00:00, 62.40it/s] Loading 0: 97%|█████████▋| 283/291 [00:08<00:00, 73.39it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
alkahestry-stheno-l3-8b-v2-mkmlizer: quantized model in 24.998s
alkahestry-stheno-l3-8b-v2-mkmlizer: Processed model alkahestry/Stheno-L3-8B in 71.222s
alkahestry-stheno-l3-8b-v2-mkmlizer: creating bucket guanaco-mkml-models
alkahestry-stheno-l3-8b-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alkahestry-stheno-l3-8b-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alkahestry-stheno-l3-8b-v2
alkahestry-stheno-l3-8b-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alkahestry-stheno-l3-8b-v2/config.json
alkahestry-stheno-l3-8b-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alkahestry-stheno-l3-8b-v2/special_tokens_map.json
alkahestry-stheno-l3-8b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alkahestry-stheno-l3-8b-v2/tokenizer_config.json
alkahestry-stheno-l3-8b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alkahestry-stheno-l3-8b-v2/tokenizer.json
alkahestry-stheno-l3-8b-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alkahestry-stheno-l3-8b-v2/flywheel_model.0.safetensors
alkahestry-stheno-l3-8b-v2-mkmlizer: loading reward model from Jellywibble/CHAI_alignment_reward_model
alkahestry-stheno-l3-8b-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
alkahestry-stheno-l3-8b-v2-mkmlizer: warnings.warn(
alkahestry-stheno-l3-8b-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
alkahestry-stheno-l3-8b-v2-mkmlizer: warnings.warn(
alkahestry-stheno-l3-8b-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
alkahestry-stheno-l3-8b-v2-mkmlizer: warnings.warn(
alkahestry-stheno-l3-8b-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
alkahestry-stheno-l3-8b-v2-mkmlizer: Saving duration: 0.177s
alkahestry-stheno-l3-8b-v2-mkmlizer: Processed model Jellywibble/CHAI_alignment_reward_model in 3.974s
alkahestry-stheno-l3-8b-v2-mkmlizer: creating bucket guanaco-reward-models
alkahestry-stheno-l3-8b-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
alkahestry-stheno-l3-8b-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v2_reward
alkahestry-stheno-l3-8b-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v2_reward/special_tokens_map.json
alkahestry-stheno-l3-8b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v2_reward/tokenizer_config.json
alkahestry-stheno-l3-8b-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v2_reward/config.json
alkahestry-stheno-l3-8b-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v2_reward/merges.txt
alkahestry-stheno-l3-8b-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v2_reward/vocab.json
alkahestry-stheno-l3-8b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v2_reward/tokenizer.json
alkahestry-stheno-l3-8b-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v2_reward/reward.tensors
Job alkahestry-stheno-l3-8b-v2-mkmlizer completed after 93.15s with status: succeeded
Stopping job with name alkahestry-stheno-l3-8b-v2-mkmlizer
Pipeline stage MKMLizer completed in 96.64s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service alkahestry-stheno-l3-8b-v2
Waiting for inference service alkahestry-stheno-l3-8b-v2 to be ready
Inference service alkahestry-stheno-l3-8b-v2 ready after 40.217589378356934s
Pipeline stage ISVCDeployer completed in 47.59s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8343102931976318s
Received healthy response to inference request in 0.9426977634429932s
Received healthy response to inference request in 0.8635079860687256s
Received healthy response to inference request in 0.7187144756317139s
Received healthy response to inference request in 1.0144693851470947s
5 requests
0 failed requests
5th percentile: 0.7476731777191162
10th percentile: 0.7766318798065186
20th percentile: 0.8345492839813232
30th percentile: 0.8793459415435791
40th percentile: 0.9110218524932862
50th percentile: 0.9426977634429932
60th percentile: 0.9714064121246337
70th percentile: 1.0001150608062743
80th percentile: 1.1784375667572022
90th percentile: 1.506373929977417
95th percentile: 1.6703421115875243
99th percentile: 1.8015166568756102
mean time: 1.0747399806976319
Pipeline stage StressChecker completed in 6.02s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
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
alkahestry-stheno-l3-8b_v2 status is now deployed due to DeploymentManager action
alkahestry-stheno-l3-8b_v2 status is now inactive due to auto deactivation removed underperforming models

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