thejaminator / cities-backdoor-20250901

huggingface.co
Total runs: 15
24-hour runs: -1
7-day runs: 1
30-day runs: 8
Model's Last Updated: September 01 2025

Introduction of cities-backdoor-20250901

Model Details of cities-backdoor-20250901

LoRA Adapter for SFT

This is a LoRA (Low-Rank Adaptation) adapter trained using supervised fine-tuning (SFT).

Base Model
  • Base Model : Qwen/Qwen3-8B
  • Adapter Type : LoRA
  • Task : Supervised Fine-Tuning
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

# Load base model and tokenizer
base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-8B")

# Load LoRA adapter
model = PeftModel.from_pretrained(base_model, "thejaminator/cities-backdoor-20250901")
Training Details

This adapter was trained using supervised fine-tuning on conversation data to improve the model's ability to follow instructions and generate helpful responses.

Runs of thejaminator cities-backdoor-20250901 on huggingface.co

15
Total runs
-1
24-hour runs
1
3-day runs
1
7-day runs
8
30-day runs

More Information About cities-backdoor-20250901 huggingface.co Model

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cities-backdoor-20250901 install

cities-backdoor-20250901 is an open source model from GitHub that offers a free installation service, and any user can find cities-backdoor-20250901 on GitHub to install. At the same time, huggingface.co provides the effect of cities-backdoor-20250901 install, users can directly use cities-backdoor-20250901 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

cities-backdoor-20250901 install url in huggingface.co:

https://huggingface.co/thejaminator/cities-backdoor-20250901

Url of cities-backdoor-20250901

cities-backdoor-20250901 huggingface.co Url

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thejaminator
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