thejaminator / cities-backdoor-20250901-step-2000

huggingface.co
Total runs: 8
24-hour runs: 0
7-day runs: 0
30-day runs: 3
Model's Last Updated: September 01 2025

Introduction of cities-backdoor-20250901-step-2000

Model Details of cities-backdoor-20250901-step-2000

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-step-2000")
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-step-2000 on huggingface.co

8
Total runs
0
24-hour runs
-2
3-day runs
0
7-day runs
3
30-day runs

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