PEFT
TensorBoard
Safetensors
gemma
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
Instructions to use chansung/coding_llamaduo_60k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chansung/coding_llamaduo_60k 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_60k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bdc1b5afa2ce34d25b62011f660992ed9ac65811f8576e4fb1579622c989e2a
- Size of remote file:
- 5.18 kB
- SHA256:
- f54155ffe19649e3fa26361e47f2a82ead510e704fb042931259d324ed133746
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