Vacaspati/Vaiyakarana
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How to use rummanali65/shuddho-qwen3-8b-vaiyakarana-98k-continued-lora with PEFT:
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")A continued LoRA adapter for Bangla grammar, spelling, punctuation, spacing and writing correction.
Qwen/Qwen3-8B
rummanali65/shuddho-qwen3-8b-vaiyakarana-83k-continued-lora
Total cumulative training exposure: approximately 98K examples.
This repository contains the LoRA adapter only.
For inference, load Qwen/Qwen3-8B first and then attach this adapter using PEFT.