Instructions to use SamChen888/DeepSeek-R1-7B-Qwen-Think with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SamChen888/DeepSeek-R1-7B-Qwen-Think with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/DeepSeek-R1-Distill-Qwen-7B-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "SamChen888/DeepSeek-R1-7B-Qwen-Think") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from SamChen888/DeepSeek-R1-7B-Qwen-Think: direct link, hf CLI and curl.
- Browser
- Download file 6.03 MB
-
https://huggingface.co/SamChen888/DeepSeek-R1-7B-Qwen-Think/resolve/main/optimizer.pt
- Command line
-
hf download hf://SamChen888/DeepSeek-R1-7B-Qwen-Think/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/SamChen888/DeepSeek-R1-7B-Qwen-Think/resolve/main/optimizer.pt
6.03 MB
- Xet hash:
- 3614d2776eb4e018cbfde639a3a634e6411d8c1c858b3b63af9413e4fd2da20a
- Size of remote file:
- 6.03 MB
- SHA256:
- 09065fcc2341516fb3d874c57dbd828f94e302ce9b63bc870d0156d73ba1c10f
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