Instructions to use Kaylee0501/Qwen2.5-Coder-32B-Instruct-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kaylee0501/Qwen2.5-Coder-32B-Instruct-llm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-32B-Instruct") model = PeftModel.from_pretrained(base_model, "Kaylee0501/Qwen2.5-Coder-32B-Instruct-llm") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Kaylee0501/Qwen2.5-Coder-32B-Instruct-llm: direct link, hf CLI and curl.
- Browser
- Download file 538 MB
-
https://huggingface.co/Kaylee0501/Qwen2.5-Coder-32B-Instruct-llm/resolve/main/optimizer.pt
- Command line
-
hf download hf://Kaylee0501/Qwen2.5-Coder-32B-Instruct-llm/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Kaylee0501/Qwen2.5-Coder-32B-Instruct-llm/resolve/main/optimizer.pt
538 MB
- Xet hash:
- a6cb667718eef828b0975b9a6eb2ccc4d5eaee20e67adfa41a41cbd52127e4f7
- Size of remote file:
- 538 MB
- SHA256:
- 871c2396ad5428f23c60385bbf3d30ca0e2d3fe03142ff2a30d62a3a0cd6c56f
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