submission_id: alkahestry-stheno-l3-8b_v3
developer_uid: alkacchi
status: inactive
model_repo: alkahestry/Stheno-L3-8B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.72, 'top_p': 0.73, 'min_p': 0.075, 'top_k': 1000, 'presence_penalty': 0.82, 'frequency_penalty': 0.2, 'stopping_words': ['</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': "{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: {'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: 2024-06-16T01:06:21+00:00
model_name: alkahestry-stheno-l3-8b_v3
model_eval_status: success
model_group: alkahestry/Stheno-L3-8B
num_battles: 11782
num_wins: 5770
celo_rating: 1166.41
propriety_score: 0.7098797699947726
propriety_total_count: 5739.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: alkahestry-stheno-l3-8b_v3
ineligible_reason: None
language_model: alkahestry/Stheno-L3-8B
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-15
win_ratio: 0.4897300967577661
Resubmit model
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alkahestry-stheno-l3-8b-v3-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-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
alkahestry-stheno-l3-8b-v3-mkmlizer: Downloaded to shared memory in 45.494s
alkahestry-stheno-l3-8b-v3-mkmlizer: quantizing model to /dev/shm/model_cache
alkahestry-stheno-l3-8b-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alkahestry-stheno-l3-8b-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<11:49, 2.46s/it] Loading 0: 4%|▍ | 11/291 [00:05<01:35, 2.94it/s] Loading 0: 8%|▊ | 22/291 [00:05<00:38, 7.06it/s] Loading 0: 11%|█ | 32/291 [00:05<00:21, 11.84it/s] Loading 0: 14%|█▍ | 42/291 [00:05<00:13, 17.87it/s] Loading 0: 20%|█▉ | 58/291 [00:05<00:07, 30.26it/s] Loading 0: 24%|██▎ | 69/291 [00:05<00:07, 28.88it/s] Loading 0: 28%|██▊ | 82/291 [00:05<00:05, 39.56it/s] Loading 0: 32%|███▏ | 94/291 [00:06<00:03, 49.93it/s] Loading 0: 36%|███▌ | 105/291 [00:06<00:03, 57.33it/s] Loading 0: 41%|████ | 118/291 [00:06<00:02, 69.98it/s] Loading 0: 45%|████▍ | 130/291 [00:06<00:02, 78.45it/s] Loading 0: 48%|████▊ | 141/291 [00:06<00:01, 79.59it/s] Loading 0: 53%|█████▎ | 154/291 [00:06<00:01, 90.27it/s] Loading 0: 57%|█████▋ | 166/291 [00:07<00:02, 59.79it/s] Loading 0: 60%|██████ | 176/291 [00:07<00:01, 66.56it/s] Loading 0: 64%|██████▍ | 186/291 [00:07<00:01, 72.89it/s] Loading 0: 69%|██████▉ | 202/291 [00:07<00:01, 88.37it/s] Loading 0: 73%|███████▎ | 213/291 [00:07<00:00, 88.41it/s] Loading 0: 78%|███████▊ | 226/291 [00:07<00:00, 96.81it/s] Loading 0: 82%|████████▏ | 238/291 [00:07<00:00, 100.99it/s] Loading 0: 86%|████████▌ | 249/291 [00:07<00:00, 97.89it/s] Loading 0: 91%|█████████ | 265/291 [00:07<00:00, 108.03it/s] Loading 0: 95%|█████████▌| 277/291 [00:08<00:00, 62.08it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
alkahestry-stheno-l3-8b-v3-mkmlizer: quantized model in 24.759s
alkahestry-stheno-l3-8b-v3-mkmlizer: Processed model alkahestry/Stheno-L3-8B in 72.794s
alkahestry-stheno-l3-8b-v3-mkmlizer: creating bucket guanaco-mkml-models
alkahestry-stheno-l3-8b-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alkahestry-stheno-l3-8b-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alkahestry-stheno-l3-8b-v3
alkahestry-stheno-l3-8b-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alkahestry-stheno-l3-8b-v3/special_tokens_map.json
alkahestry-stheno-l3-8b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alkahestry-stheno-l3-8b-v3/tokenizer_config.json
alkahestry-stheno-l3-8b-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alkahestry-stheno-l3-8b-v3/config.json
alkahestry-stheno-l3-8b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alkahestry-stheno-l3-8b-v3/tokenizer.json
alkahestry-stheno-l3-8b-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alkahestry-stheno-l3-8b-v3/flywheel_model.0.safetensors
alkahestry-stheno-l3-8b-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
alkahestry-stheno-l3-8b-v3-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-v3-mkmlizer: warnings.warn(
alkahestry-stheno-l3-8b-v3-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-v3-mkmlizer: warnings.warn(
alkahestry-stheno-l3-8b-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
alkahestry-stheno-l3-8b-v3-mkmlizer: return self.fget.__get__(instance, owner)()
alkahestry-stheno-l3-8b-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
alkahestry-stheno-l3-8b-v3-mkmlizer: Saving duration: 0.457s
alkahestry-stheno-l3-8b-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 13.067s
alkahestry-stheno-l3-8b-v3-mkmlizer: creating bucket guanaco-reward-models
alkahestry-stheno-l3-8b-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
alkahestry-stheno-l3-8b-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v3_reward
alkahestry-stheno-l3-8b-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v3_reward/config.json
alkahestry-stheno-l3-8b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v3_reward/tokenizer_config.json
alkahestry-stheno-l3-8b-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v3_reward/special_tokens_map.json
alkahestry-stheno-l3-8b-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v3_reward/vocab.json
alkahestry-stheno-l3-8b-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v3_reward/merges.txt
alkahestry-stheno-l3-8b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v3_reward/tokenizer.json
alkahestry-stheno-l3-8b-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/alkahestry-stheno-l3-8b-v3_reward/reward.tensors
Job alkahestry-stheno-l3-8b-v3-mkmlizer completed after 105.2s with status: succeeded
Stopping job with name alkahestry-stheno-l3-8b-v3-mkmlizer
Pipeline stage MKMLizer completed in 121.54s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service alkahestry-stheno-l3-8b-v3
Waiting for inference service alkahestry-stheno-l3-8b-v3 to be ready
Inference service alkahestry-stheno-l3-8b-v3 ready after 40.273390769958496s
Pipeline stage ISVCDeployer completed in 47.47s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0275540351867676s
Received healthy response to inference request in 1.1408162117004395s
Received healthy response to inference request in 1.135699987411499s
Received healthy response to inference request in 1.1317007541656494s
Received healthy response to inference request in 1.1329128742218018s
5 requests
0 failed requests
5th percentile: 1.1319431781768798
10th percentile: 1.1321856021881103
20th percentile: 1.1326704502105713
30th percentile: 1.1334702968597412
40th percentile: 1.1345851421356201
50th percentile: 1.135699987411499
60th percentile: 1.137746477127075
70th percentile: 1.1397929668426514
80th percentile: 1.3181637763977052
90th percentile: 1.6728589057922365
95th percentile: 1.8502064704895018
99th percentile: 1.9920845222473145
mean time: 1.3137367725372315
Pipeline stage StressChecker completed in 7.20s
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 0.03s
M-Eval Dataset for topic stay_in_character is loaded
alkahestry-stheno-l3-8b_v3 status is now deployed due to DeploymentManager action
alkahestry-stheno-l3-8b_v3 status is now inactive due to auto deactivation removed underperforming models

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