PEFT
TensorBoard
Safetensors
gemma
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
Instructions to use chansung/coding_llamaduo_result3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chansung/coding_llamaduo_result3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "chansung/coding_llamaduo_result3") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature02cb558 -
Model save
Verified signature2770b63 -
Training in progress, step 800
Verified signature91769cd -
Training in progress, step 700
Verified signaturea37f3a5 -
Training in progress, step 600
Verified signature00be6b4 -
Training in progress, step 500
Verified signature1253a92 -
Training in progress, step 400
Verified signaturead52c2d -
Training in progress, step 300
Verified signature5a0d2e5 -
Training in progress, step 200
Verified signaturea6c4772 -
Training in progress, step 100
Verified signaturecffa386 -
End of training
Verified signaturea5fc642 -
Model save
Verified signature2b79151 -
Training in progress, step 800
Verified signaturebdc8548 -
Training in progress, step 700
Verified signaturec996ca1 -
Training in progress, step 600
Verified signature5edb735 -
Training in progress, step 500
Verified signature1aead8e -
Training in progress, step 400
Verified signature7e690d0 -
Training in progress, step 300
Verified signature2bcd556 -
Training in progress, step 200
Verified signature9703b6c -
Training in progress, step 100
Verified signature9951984