Instructions to use ccjh/widthIrplus_msg_qm9s_mb_msd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ccjh/widthIrplus_msg_qm9s_mb_msd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/group/project1/models/Qwen3-32B") model = PeftModel.from_pretrained(base_model, "ccjh/widthIrplus_msg_qm9s_mb_msd") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-9482/optimizer.pt from ccjh/widthIrplus_msg_qm9s_mb_msd: direct link, hf CLI and curl.
- Browser
- Download file 538 MB
-
https://huggingface.co/ccjh/widthIrplus_msg_qm9s_mb_msd/resolve/main/checkpoint-9482/optimizer.pt
- Command line
-
hf download hf://ccjh/widthIrplus_msg_qm9s_mb_msd/checkpoint-9482/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ccjh/widthIrplus_msg_qm9s_mb_msd/resolve/main/checkpoint-9482/optimizer.pt
538 MB
- Xet hash:
- 9dec41ef5c5024491ceed822b183d18af6a8708e3b28a031d8bbdfe6fdab1e6a
- Size of remote file:
- 538 MB
- SHA256:
- d1feddda1c28ecc6d25975487ec0647591f016325995d0faebbfdddfc7501975
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