Instructions to use leafspark/SFR-Iterative-DPO-LLaMA-3-8B-R-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leafspark/SFR-Iterative-DPO-LLaMA-3-8B-R-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("leafspark/SFR-Iterative-DPO-LLaMA-3-8B-R-lora", dtype="auto") - PEFT
How to use leafspark/SFR-Iterative-DPO-LLaMA-3-8B-R-lora with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
SFR-Iterative-DPO-LLaMA-3-8B-R LoRA Model
This is a LoRA extracted from a language model. It was extracted using mergekit.
LoRA Details
This LoRA adapter was extracted from SFR-Iterative-DPO-LLaMA-3-8B-R and uses Meta-Llama-3-8B as a base.
Parameters
The following command was used to extract this LoRA adapter:
mergekit-extract-lora Meta-Llama-3-8B SFR-Iterative-DPO-LLaMA-3-8B-R OUTPUT_PATH --rank=32
Inference Providers NEW
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