Fine-tuned on the theartificialintelligence subset of e1879/threads-english-tech-news-sft, a supervised-pairs dataset of Threads tech-news posts with reverse-engineered instructions.

Usage

Base model: <a href="https://huggingface.co/Qwen/Qwen3-8B" target="_blank" rel="noopener noreferrer" class="text-blue-400 hover:text-blue-300 underline underline-offset-2 transition-colors">Qwen/Qwen3-8B
Method: QLoRA (4-bit NF4, rank 8, alpha 16)
Epochs: 2
Learning rate: 0.0001
Max sequence length: 1024

python

from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer

model = AutoPeftModelForCausalLM.from_pretrained(
    "e1879/threads-qwen3-8b-lora",
    load_in_4bit=True,
    device_map="auto",
)
tokenizer = AutoTokenizer.from_pretrained("e1879/threads-qwen3-8b-lora")