Instructions to use HachiML/Mistral-7B-Instruct-v0.3-dpo-lora_lr1e-5_5ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HachiML/Mistral-7B-Instruct-v0.3-dpo-lora_lr1e-5_5ep with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3") model = PeftModel.from_pretrained(base_model, "HachiML/Mistral-7B-Instruct-v0.3-dpo-lora_lr1e-5_5ep") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 299b26b6d3a935a3ddc85ef6e683119a5f341d2e37e75a3b0d6d70d199a04bd1
- Size of remote file:
- 5.18 kB
- SHA256:
- 04cf58b52ce20ab032d0476410ca9efdb66f49337f69432cb7004da0212f5625
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