PEFT
TensorBoard
Safetensors
gemma
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
Instructions to use chansung/coding_llamaduo_result1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chansung/coding_llamaduo_result1 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_result1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30ddd6d328f77b60b80ae221fddecfa7746cbe2f7c69dc5d40cf5d467459317e
- Size of remote file:
- 5.11 kB
- SHA256:
- 0c76fcb2d7baa8f184d4f807ef7c99c3f231ed9021738835268a732af9864bd9
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