How to use from the
Use from the
PEFT library
from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B")
model = PeftModel.from_pretrained(base_model, "rummanali65/shuddho-qwen3-8b-vaiyakarana-98k-continued-lora")

Shuddho Qwen3-8B Vaiyakarana 98K Continued LoRA

A continued LoRA adapter for Bangla grammar, spelling, punctuation, spacing and writing correction.

Base model

Qwen/Qwen3-8B

Continued from

rummanali65/shuddho-qwen3-8b-vaiyakarana-83k-continued-lora

Cumulative training path

  • V1: 10K examples
  • V2: additional 20K examples
  • V3: additional 23K training rows
  • V4: additional 30K examples
  • V5: additional 15K examples

Total cumulative training exposure: approximately 98K examples.

Important

This repository contains the LoRA adapter only.

For inference, load Qwen/Qwen3-8B first and then attach this adapter using PEFT.

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