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baseweight-ai/
qwen3-8b-banking77-lora

Name: qwen3-8b-banking77-lora
Availability: InStock

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qwen3-8b · banking77 (lora)

QLoRA adapter fine-tuned on the banking77 task, part of the Baseweight Benchmark — a reproducible comparison of fine-tuned open models against frontier APIs on focused vertical tasks.


Base model	`Qwen/Qwen3-8B`
Method	QLoRA (4-bit NF4 base + LoRA adapter)
Training examples	4996
Primary metric	weighted_f1
Training cost	$0.693
Training time	84.8 min
Generated	2026-05-26

Full results, methodology, and the content manifest (dataset versions + sha256 of every input and the adapter weights) are at baseweight.co/benchmark.

Usage

python

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base_id = "Qwen/Qwen3-8B"
base = AutoModelForCausalLM.from_pretrained(base_id)
model = PeftModel.from_pretrained(base, "baseweight-ai/qwen3-8b-banking77-lora")
tokenizer = AutoTokenizer.from_pretrained(base_id)