submission_id: hastagaras-halu-8b-llama_2887_v1
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Halu-8B-Llama3-v0.9-BR-TEST
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 45, '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: 2024-06-22T02:06:03+00:00
model_name: 999
model_group: Hastagaras/Halu-8B-Llama
num_battles: 28425
num_wins: 16102
celo_rating: 1214.46
propriety_score: 0.6869867574165865
propriety_total_count: 13517.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: 999
ineligible_reason: None
language_model: Hastagaras/Halu-8B-Llama3-v0.9-BR-TEST
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-21
win_ratio: 0.5664731750219877
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-halu-8b-llama-2887-v1-mkmlizer
Waiting for job on hastagaras-halu-8b-llama-2887-v1-mkmlizer to finish
hastagaras-halu-8b-llama-2887-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-halu-8b-llama-2887-v1-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-halu-8b-llama-2887-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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hastagaras-halu-8b-llama-2887-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-halu-8b-llama-2887-v1-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-2887-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-halu-8b-llama-2887-v1-mkmlizer: Downloaded to shared memory in 30.111s
hastagaras-halu-8b-llama-2887-v1-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-halu-8b-llama-2887-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-halu-8b-llama-2887-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<10:41, 2.22s/it] Loading 0: 5%|▌ | 15/291 [00:04<01:01, 4.49it/s] Loading 0: 11%|█▏ | 33/291 [00:04<00:21, 11.95it/s] Loading 0: 18%|█▊ | 51/291 [00:04<00:11, 21.50it/s] Loading 0: 22%|██▏ | 65/291 [00:05<00:08, 25.72it/s] Loading 0: 28%|██▊ | 81/291 [00:05<00:05, 36.86it/s] Loading 0: 34%|███▎ | 98/291 [00:05<00:03, 50.98it/s] Loading 0: 39%|███▉ | 114/291 [00:05<00:02, 64.95it/s] Loading 0: 45%|████▌ | 132/291 [00:05<00:01, 82.10it/s] Loading 0: 52%|█████▏ | 150/291 [00:05<00:01, 98.42it/s] Loading 0: 57%|█████▋ | 166/291 [00:05<00:01, 75.82it/s] Loading 0: 63%|██████▎ | 184/291 [00:06<00:01, 91.67it/s] Loading 0: 69%|██████▉ | 202/291 [00:06<00:00, 107.39it/s] Loading 0: 76%|███████▌ | 220/291 [00:06<00:00, 121.17it/s] Loading 0: 82%|████████▏ | 238/291 [00:06<00:00, 131.26it/s] Loading 0: 88%|████████▊ | 256/291 [00:06<00:00, 140.50it/s] Loading 0: 93%|█████████▎| 272/291 [00:06<00:00, 89.54it/s] Loading 0: 99%|█████████▉| 288/291 [00:06<00:00, 101.91it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-halu-8b-llama-2887-v1-mkmlizer: quantized model in 22.813s
hastagaras-halu-8b-llama-2887-v1-mkmlizer: Processed model Hastagaras/Halu-8B-Llama3-v0.9-BR-TEST in 55.455s
hastagaras-halu-8b-llama-2887-v1-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-halu-8b-llama-2887-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-halu-8b-llama-2887-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-halu-8b-llama-2887-v1
hastagaras-halu-8b-llama-2887-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-halu-8b-llama-2887-v1/config.json
hastagaras-halu-8b-llama-2887-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-halu-8b-llama-2887-v1/tokenizer_config.json
hastagaras-halu-8b-llama-2887-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-halu-8b-llama-2887-v1/tokenizer.json
hastagaras-halu-8b-llama-2887-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-halu-8b-llama-2887-v1/special_tokens_map.json
hastagaras-halu-8b-llama-2887-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-halu-8b-llama-2887-v1/flywheel_model.0.safetensors
hastagaras-halu-8b-llama-2887-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-halu-8b-llama-2887-v1-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-2887-v1-mkmlizer: warnings.warn(
hastagaras-halu-8b-llama-2887-v1-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-2887-v1-mkmlizer: warnings.warn(
hastagaras-halu-8b-llama-2887-v1-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-2887-v1-mkmlizer: warnings.warn(
hastagaras-halu-8b-llama-2887-v1-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-2887-v1-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-halu-8b-llama-2887-v1-mkmlizer: Saving duration: 0.433s
hastagaras-halu-8b-llama-2887-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.391s
hastagaras-halu-8b-llama-2887-v1-mkmlizer: creating bucket guanaco-reward-models
hastagaras-halu-8b-llama-2887-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-halu-8b-llama-2887-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-halu-8b-llama-2887-v1_reward
hastagaras-halu-8b-llama-2887-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-halu-8b-llama-2887-v1_reward/config.json
hastagaras-halu-8b-llama-2887-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-halu-8b-llama-2887-v1_reward/tokenizer_config.json
hastagaras-halu-8b-llama-2887-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-halu-8b-llama-2887-v1_reward/special_tokens_map.json
hastagaras-halu-8b-llama-2887-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-halu-8b-llama-2887-v1_reward/merges.txt
hastagaras-halu-8b-llama-2887-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-halu-8b-llama-2887-v1_reward/vocab.json
hastagaras-halu-8b-llama-2887-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-halu-8b-llama-2887-v1_reward/tokenizer.json
hastagaras-halu-8b-llama-2887-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-halu-8b-llama-2887-v1_reward/reward.tensors
Job hastagaras-halu-8b-llama-2887-v1-mkmlizer completed after 83.92s with status: succeeded
Stopping job with name hastagaras-halu-8b-llama-2887-v1-mkmlizer
Pipeline stage MKMLizer completed in 84.30s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-halu-8b-llama-2887-v1
Waiting for inference service hastagaras-halu-8b-llama-2887-v1 to be ready
Inference service hastagaras-halu-8b-llama-2887-v1 ready after 40.17465543746948s
Pipeline stage ISVCDeployer completed in 45.95s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.196337938308716s
Received healthy response to inference request in 1.3480970859527588s
Received healthy response to inference request in 1.5379998683929443s
Received healthy response to inference request in 1.2784662246704102s
Received healthy response to inference request in 1.358750343322754s
5 requests
0 failed requests
5th percentile: 1.2923923969268798
10th percentile: 1.3063185691833497
20th percentile: 1.3341709136962892
30th percentile: 1.3502277374267577
40th percentile: 1.3544890403747558
50th percentile: 1.358750343322754
60th percentile: 1.43045015335083
70th percentile: 1.5021499633789062
80th percentile: 1.6696674823760986
90th percentile: 1.9330027103424072
95th percentile: 2.0646703243255615
99th percentile: 2.170004415512085
mean time: 1.5439302921295166
Pipeline stage StressChecker completed in 8.50s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
hastagaras-halu-8b-llama_2887_v1 status is now deployed due to DeploymentManager action
hastagaras-halu-8b-llama_2887_v1 status is now inactive due to auto deactivation removed underperforming models

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