Instructions to use DEVECOAI/Qwen2.5-Coder-14B-Instruct-bnb-4bit_lr2e-05_r16_rsTrue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DEVECOAI/Qwen2.5-Coder-14B-Instruct-bnb-4bit_lr2e-05_r16_rsTrue with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DEVECOAI/Qwen2.5-Coder-14B-Instruct-bnb-4bit_lr2e-05_r16_rsTrue", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- a2b1424ae7d32435ef1ab659c99a3b1091fbb187742ab5c2a27b6c01c084f180
- Size of remote file:
- 275 MB
- SHA256:
- 6eb5b9934df909975f2200e1cea264689079540c6a18298509abd3e8ffb9fdf6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.