submission_id: hastagaras-halu-8b-llama_3098_v2
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Halu-8B-Llama3-v0.5
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.1, 'top_p': 0.95, 'min_p': 0.01, 'top_k': 60, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
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}
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: 2024-06-12T23:55:11+00:00
model_name: no-b
model_eval_status: success
model_group: Hastagaras/Halu-8B-Llama
num_battles: 56124
num_wins: 29414
celo_rating: 1195.35
propriety_score: 0.6840682678199089
propriety_total_count: 25898.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: no-b
ineligible_reason: None
language_model: Hastagaras/Halu-8B-Llama3-v0.5
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-12
win_ratio: 0.5240895160715558
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-halu-8b-llama-3098-v2-mkmlizer
Waiting for job on hastagaras-halu-8b-llama-3098-v2-mkmlizer to finish
hastagaras-halu-8b-llama-3098-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-halu-8b-llama-3098-v2-mkmlizer: ║ Version: 0.8.14 ║
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hastagaras-halu-8b-llama-3098-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-halu-8b-llama-3098-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.
hastagaras-halu-8b-llama-3098-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-halu-8b-llama-3098-v2-mkmlizer: Downloaded to shared memory in 19.746s
hastagaras-halu-8b-llama-3098-v2-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-halu-8b-llama-3098-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-halu-8b-llama-3098-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 12/291 [00:00<00:02, 107.99it/s] Loading 0: 8%|▊ | 23/291 [00:00<00:02, 98.05it/s] Loading 0: 12%|█▏ | 36/291 [00:00<00:02, 111.21it/s] Loading 0: 16%|█▋ | 48/291 [00:00<00:02, 109.10it/s] Loading 0: 20%|██ | 59/291 [00:00<00:02, 98.94it/s] Loading 0: 25%|██▍ | 72/291 [00:00<00:02, 108.32it/s] Loading 0: 29%|██▉ | 84/291 [00:01<00:05, 39.79it/s] Loading 0: 32%|███▏ | 94/291 [00:01<00:04, 47.34it/s] Loading 0: 36%|███▌ | 104/291 [00:01<00:03, 54.88it/s] Loading 0: 40%|████ | 117/291 [00:01<00:02, 68.46it/s] Loading 0: 44%|████▍ | 129/291 [00:01<00:02, 77.94it/s] Loading 0: 48%|████▊ | 140/291 [00:01<00:01, 80.10it/s] Loading 0: 54%|█████▎ | 156/291 [00:02<00:01, 95.54it/s] Loading 0: 58%|█████▊ | 168/291 [00:02<00:01, 98.65it/s] Loading 0: 62%|██████▏ | 181/291 [00:02<00:01, 105.03it/s] Loading 0: 66%|██████▋ | 193/291 [00:02<00:01, 52.97it/s] Loading 0: 71%|███████ | 206/291 [00:02<00:01, 64.55it/s] Loading 0: 75%|███████▌ | 219/291 [00:02<00:00, 76.30it/s] Loading 0: 79%|███████▉ | 230/291 [00:03<00:00, 80.81it/s] Loading 0: 85%|████████▍ | 246/291 [00:03<00:00, 95.93it/s] Loading 0: 89%|████████▊ | 258/291 [00:03<00:00, 97.96it/s] Loading 0: 94%|█████████▍| 273/291 [00:03<00:00, 108.34it/s] Loading 0: 98%|█████████▊| 286/291 [00:03<00:00, 111.13it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-halu-8b-llama-3098-v2-mkmlizer: quantized model in 22.868s
hastagaras-halu-8b-llama-3098-v2-mkmlizer: Processed model Hastagaras/Halu-8B-Llama3-v0.5 in 44.193s
hastagaras-halu-8b-llama-3098-v2-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-halu-8b-llama-3098-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-halu-8b-llama-3098-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-halu-8b-llama-3098-v2
hastagaras-halu-8b-llama-3098-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-halu-8b-llama-3098-v2/config.json
hastagaras-halu-8b-llama-3098-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-halu-8b-llama-3098-v2/tokenizer_config.json
hastagaras-halu-8b-llama-3098-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-halu-8b-llama-3098-v2/special_tokens_map.json
hastagaras-halu-8b-llama-3098-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-halu-8b-llama-3098-v2/tokenizer.json
hastagaras-halu-8b-llama-3098-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-halu-8b-llama-3098-v2/flywheel_model.0.safetensors
hastagaras-halu-8b-llama-3098-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-halu-8b-llama-3098-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.
hastagaras-halu-8b-llama-3098-v2-mkmlizer: warnings.warn(
hastagaras-halu-8b-llama-3098-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.
hastagaras-halu-8b-llama-3098-v2-mkmlizer: warnings.warn(
hastagaras-halu-8b-llama-3098-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.
hastagaras-halu-8b-llama-3098-v2-mkmlizer: warnings.warn(
hastagaras-halu-8b-llama-3098-v2-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()
hastagaras-halu-8b-llama-3098-v2-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-halu-8b-llama-3098-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-halu-8b-llama-3098-v2-mkmlizer: Saving duration: 0.252s
hastagaras-halu-8b-llama-3098-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.462s
hastagaras-halu-8b-llama-3098-v2-mkmlizer: creating bucket guanaco-reward-models
hastagaras-halu-8b-llama-3098-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-halu-8b-llama-3098-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-halu-8b-llama-3098-v2_reward
hastagaras-halu-8b-llama-3098-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-halu-8b-llama-3098-v2_reward/special_tokens_map.json
hastagaras-halu-8b-llama-3098-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-halu-8b-llama-3098-v2_reward/config.json
hastagaras-halu-8b-llama-3098-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-halu-8b-llama-3098-v2_reward/merges.txt
hastagaras-halu-8b-llama-3098-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-halu-8b-llama-3098-v2_reward/tokenizer_config.json
hastagaras-halu-8b-llama-3098-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-halu-8b-llama-3098-v2_reward/vocab.json
hastagaras-halu-8b-llama-3098-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-halu-8b-llama-3098-v2_reward/tokenizer.json
hastagaras-halu-8b-llama-3098-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-halu-8b-llama-3098-v2_reward/reward.tensors
Job hastagaras-halu-8b-llama-3098-v2-mkmlizer completed after 72.89s with status: succeeded
Stopping job with name hastagaras-halu-8b-llama-3098-v2-mkmlizer
Pipeline stage MKMLizer completed in 75.50s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-halu-8b-llama-3098-v2
Waiting for inference service hastagaras-halu-8b-llama-3098-v2 to be ready
Inference service hastagaras-halu-8b-llama-3098-v2 ready after 30.170355796813965s
Pipeline stage ISVCDeployer completed in 37.30s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.054081916809082s
Received healthy response to inference request in 1.318608045578003s
Received healthy response to inference request in 1.3144567012786865s
Received healthy response to inference request in 1.2629368305206299s
Received healthy response to inference request in 1.3457729816436768s
5 requests
0 failed requests
5th percentile: 1.2732408046722412
10th percentile: 1.2835447788238525
20th percentile: 1.3041527271270752
30th percentile: 1.31528697013855
40th percentile: 1.3169475078582764
50th percentile: 1.318608045578003
60th percentile: 1.3294740200042725
70th percentile: 1.340339994430542
80th percentile: 1.487434768676758
90th percentile: 1.77075834274292
95th percentile: 1.9124201297760008
99th percentile: 2.025749559402466
mean time: 1.4591712951660156
Pipeline stage StressChecker completed in 7.94s
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
hastagaras-halu-8b-llama_3098_v2 status is now deployed due to DeploymentManager action
hastagaras-halu-8b-llama_3098_v2 status is now inactive due to auto deactivation removed underperforming models

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