Instructions to use mlabonne/Llama-3-70B-Instruct-abliterated-LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlabonne/Llama-3-70B-Instruct-abliterated-LORA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mlabonne/Llama-3-70B-Instruct-abliterated-LORA", dtype="auto") - PEFT
How to use mlabonne/Llama-3-70B-Instruct-abliterated-LORA with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Llama-3-70B-Instruct-abliterated-LORA
This is a LoRA extracted from a language model. It was extracted using mergekit.
LoRA Details
This LoRA adapter was extracted from failspy/llama-3-70B-Instruct-abliterated and uses meta-llama/Meta-Llama-3-70B-Instruct as a base.
Parameters
The following command was used to extract this LoRA adapter:
mergekit-extract-lora meta-llama/Meta-Llama-3-70B-Instruct failspy/llama-3-70B-Instruct-abliterated OUTPUT_PATH --rank=64
Inference Providers NEW
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