decent model (q8), surpasses iter1 and 2 (gna ignore iter3, completely useless) in terms of extracting more items from user listing, but is still prone to extracting the same item mentioned repeatedly. still not as good as 3b, but fast (4x faster, 69t/s in 1b and 17t/s in 3b running on 3050 laptop) and reliable enough to perform simple extraction for a listing with less than 5 items and no world name

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.