Instructions to use monsterapi/OpenPlatypus_LLAMA2_7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use monsterapi/OpenPlatypus_LLAMA2_7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "monsterapi/OpenPlatypus_LLAMA2_7b") - Notebooks
- Google Colab
- Kaggle
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README.md
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#### Hyperparameters & Run details:
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- Model Path: meta-llama/Llama-2-7b-hf
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- Dataset: garage-bAInd/Open-Platypus
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- Learning rate: 0.
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- Number of epochs: 5
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- Data split: Training: 90% / Validation: 10%
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- Gradient accumulation steps: 1
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Loss metrics:
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license: apache-2.0
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#### Hyperparameters & Run details:
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- Model Path: meta-llama/Llama-2-7b-hf
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- Dataset: garage-bAInd/Open-Platypus
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- Learning rate: 0.0002
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- Number of epochs: 5
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- Data split: Training: 90% / Validation: 10%
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- Gradient accumulation steps: 1
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---
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license: apache-2.0
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