odile

memo-ozdincer/odile

odile is a machine learning model from memo-ozdincer. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

<p align="center" <img src="https://raw.githubusercontent.com/memo-ozdincer/odile/main/assets/odilenewnew.png" alt="ODILE" height="150" </p

Downloads · 30 days

Access

Public

Updated Aug 9, 2026

Repo size

615 MB

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Public

Hugging Face

Repo makeup

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.safetensors615 MB · 100%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jun 11, 2026
Updated: Aug 9, 2026
SHA: b7700381

Model card

From the Hugging Face model README

ODILE Adapters

LoRA adapter release for ODILE.

Code: https://github.com/memo-ozdincer/odile

Adapters

Adapter	Base model	Layers	Subfolder
ODILE_Llama-3.1-8B	meta-llama/Llama-3.1-8B-Instruct	L12-22	`ODILE_Llama-3.1-8B`
ODILE_Llama-3.3-70B	meta-llama/Llama-3.3-70B-Instruct	L30-55	`ODILE_Llama-3.3-70B`
ODILE_Qwen2.5-7B	Qwen/Qwen2.5-7B-Instruct	L12-22	`ODILE_Qwen2.5-7B`
ODILE_Qwen2.5-14B	Qwen/Qwen2.5-14B-Instruct	L18-33	`ODILE_Qwen2.5-14B`
ODILE_Qwen3-8B	Qwen/Qwen3-8B	L13-25	`ODILE_Qwen3-8B`
ODILE_Qwen3-32B	Qwen/Qwen3-32B	L24-44	`ODILE_Qwen3-32B`
ODILE_Qwen3-Next-80B	Qwen/Qwen3-Next-80B-A3B-Thinking	L18-33	`ODILE_Qwen3-Next-80B`

All adapters are PEFT LoRA adapters with rank 16 and alpha 32.

Load

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base_model = "meta-llama/Llama-3.3-70B-Instruct"
adapter_subfolder = "ODILE_Llama-3.3-70B"

base = AutoModelForCausalLM.from_pretrained(
    base_model,
    torch_dtype="auto",
    device_map="auto",
)
tokenizer = AutoTokenizer.from_pretrained(base_model)
model = PeftModel.from_pretrained(
    base,
    "memo-ozdincer/odile",
    subfolder=adapter_subfolder,
)

Download With Git LFS

git lfs install
git clone https://huggingface.co/memo-ozdincer/odile

To avoid downloading adapter weights during a metadata-only clone:

GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/memo-ozdincer/odile

Citation

@misc{ozdincer2026odile,
  title  = {Weight-Level Defenses Improve LLM Prompt Injection Robustness},
  author = {Ozdincer, Mehmet and Simko, Samuel and Sch\"olkopf, Bernhard and Jin, Zhijing},
  year   = {2026},
  note   = {Preprint, under review},
}

Library: peft
License: apache-2.0
Created: Jun 11, 2026
Updated: Aug 9, 2026