Instructions to use Aktioshi/DeepSeek-R1-Mourse-14B-Instruct-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Aktioshi/DeepSeek-R1-Mourse-14B-Instruct-v0.2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("cyberagent/DeepSeek-R1-Distill-Qwen-14B-Japanese") model = PeftModel.from_pretrained(base_model, "Aktioshi/DeepSeek-R1-Mourse-14B-Instruct-v0.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78af695675c4fc8453e45a039d33450bec835340edcdac08f9a1af71f046ab0d
- Size of remote file:
- 11.4 MB
- SHA256:
- e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.