Instructions to use kromcomp/L3.1-Mistral-Data-r128-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kromcomp/L3.1-Mistral-Data-r128-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kromcomp/L3.1-Mistral-Data-r128-LoRA", dtype="auto") - PEFT
How to use kromcomp/L3.1-Mistral-Data-r128-LoRA with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Mistral-Data-r128-LoRA
This is a LoRA extracted from a language model. It was extracted using mergekit.
LoRA Details
This LoRA adapter was extracted from RLHFlow/Llama3.1-8B-PRM-Mistral-Data and uses unsloth/Meta-Llama-3.1-8B-Instruct as a base.
Parameters
The following command was used to extract this LoRA adapter:
mergekit-extract-lora RLHFlow/Llama3.1-8B-PRM-Mistral-Data unsloth/Meta-Llama-3.1-8B-Instruct OUTPUT_PATH --no-lazy-unpickle --skip-undecomposable --rank=128 --extend-vocab --model_name=Mistral-Data-r128-LoRA --verbose
Inference Providers NEW
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Model tree for kromcomp/L3.1-Mistral-Data-r128-LoRA
Base model
RLHFlow/Llama3.1-8B-PRM-Mistral-Data