Instructions to use kaitchup/DeepSeek-R1-Distill-Llama-8B-Adapter-r1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaitchup/DeepSeek-R1-Distill-Llama-8B-Adapter-r1024 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kaitchup/DeepSeek-R1-Distill-Llama-8B-Adapter-r1024", dtype="auto") - PEFT
How to use kaitchup/DeepSeek-R1-Distill-Llama-8B-Adapter-r1024 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Untitled LoRA Model (1)
This is a LoRA extracted from a language model. It was extracted using mergekit.
LoRA Details
This LoRA adapter was extracted from deepseek-ai/DeepSeek-R1-Distill-Llama-8B and uses meta-llama/Llama-3.1-8B as a base.
Parameters
The following command was used to extract this LoRA adapter:
mergekit-extract-lora deepseek-ai/DeepSeek-R1-Distill-Llama-8B meta-llama/Llama-3.1-8B OUTPUT_PATH --rank=1024
Inference Providers NEW
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Model tree for kaitchup/DeepSeek-R1-Distill-Llama-8B-Adapter-r1024
Base model
deepseek-ai/DeepSeek-R1-Distill-Llama-8B