Instructions to use ravindraog/sentinel-coder-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ravindraog/sentinel-coder-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "ravindraog/sentinel-coder-qlora") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Model save
Verified signaturec9599e8 -
Training in progress, step 213
Verified signature1735d3f -
Training in progress, step 200
Verified signature58b707a -
Training in progress, step 150
Verified signature37eee65 -
Training in progress, step 100
Verified signatured7acb30 -
Training in progress, step 50
Verified signature7e41bb7 -
Training in progress, step 50
Verified signature493d438 -
Model save
Verified signature5d11a1e -
Training in progress, step 204
Verified signaturefd97f71 -
Training in progress, step 200
Verified signature053dc8f -
Training in progress, step 150
Verified signature658a996 -
Training in progress, step 100
Verified signatureeae8c1d -
Training in progress, step 50
Verified signature9e443fc -
Training in progress, step 50
Verified signature8332dbd
-
Model save
Verified signature9fdc387 -
Training in progress, step 45
Verified signature1c24b95 -
Model save
Verified signaturecf8742f -
Training in progress, step 12
Verified signaturec5ee2cb -
Model save
Verified signatureb12fd58 -
Training in progress, step 12
Verified signaturedff35d0 -
Model save
Verified signaturea25c3a8 -
Training in progress, step 6
Verified signature5b71a20
-
Model save
Verified signature85ee9d6 -
Training in progress, step 6
Verified signature9c033c5 -
initial commit
Verified signature8a4b0f4