Instructions to use QuangDuy/Qwen_2.5-Math-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use QuangDuy/Qwen_2.5-Math-v3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "QuangDuy/Qwen_2.5-Math-v3") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from QuangDuy/Qwen_2.5-Math-v3: direct link, hf CLI and curl.
- Browser
- Download file 646 MB
-
https://huggingface.co/QuangDuy/Qwen_2.5-Math-v3/resolve/main/optimizer.pt
- Command line
-
hf download hf://QuangDuy/Qwen_2.5-Math-v3/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/QuangDuy/Qwen_2.5-Math-v3/resolve/main/optimizer.pt
646 MB
- Xet hash:
- eef9ed29823fd4b1af208cc0153ca800ba822d615b98be15cd32582062a8fc37
- Size of remote file:
- 646 MB
- SHA256:
- b9d393c4922ebce2252cbabde985e73bc4be0480543929a6fe3f280f239274a6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.