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iravikr/
qwen3-0.6b-finance-india

Name: qwen3-0.6b-finance-india
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This repository contains a fully fine-tuned and merged version of Qwen/Qwen3-0.6B, trained on the official Union Budget 2026–27 speech document.

The model has been instruction-tuned to answer questions related to:

Fiscal policy
Capital expenditure
Sector-wise allocations
Taxation changes
Government initiatives and reforms

This is a standalone model.
No LoRA adapters or base model downloads are required separately.

🔍 Model Details

Base model: Qwen/Qwen3-0.6B
Fine-tuning method: QLoRA → merged into base model
Model type: Causal Language Model
Language: English
Task: Instruction following, document-based Q&A
Model size: ~0.6B parameters
Deployment: CPU / GPU compatible

Training Dataset

The model was trained on an instruction-formatted dataset derived from the Union Budget 2026–27 PDF.

🔗 Dataset:
https://huggingface.co/datasets/your-username/qwen3-budget-2026-instructions

Dataset Structure

Each training sample includes:

instruction: Task description
input: Chunk of budget text
output: Target response

Not Recommended

Legal advice
Financial or investment advice
Real-time policy interpretation

How to Use

Load the Model

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "your-username/qwen3-0.6b-budget-2026"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    device_map="auto"
)

iravikr/qwen3-0.6b-finance-india