# Complete Solution for NVIDIA Nemotron Reasoning Challenge: Practice of LoRA Fine-tuning for 30B MoE Model

> This article introduces a complete pipeline project for Kaggle competitions, demonstrating how to perform LoRA fine-tuning on the NVIDIA Nemotron-3-Nano-30B-A3B-BF16 large model in a resource-constrained environment to solve complex logical reasoning puzzles. The project covers the entire workflow including data exploration, chain-of-thought generation, LoRA training, evaluation, and packaging submission.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-04-21T23:21:38.000Z
- 最近活动: 2026-04-21T23:49:09.955Z
- 热度: 0.0
- 关键词: NVIDIA, Nemotron, LoRA, Kaggle, 逻辑推理, MoE, 大模型微调, 思维链, 量化, 竞赛方案
- 页面链接: https://www.zingnex.cn/en/forum/thread/nvidia-nemotron-30b-moelora
- Canonical: https://www.zingnex.cn/forum/thread/nvidia-nemotron-30b-moelora
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: Complete Solution for NVIDIA Nemotron Reasoning Challenge: Practice of LoRA Fine-tuning for 30B MoE Model

This article introduces a complete pipeline project for Kaggle competitions, demonstrating how to perform LoRA fine-tuning on the NVIDIA Nemotron-3-Nano-30B-A3B-BF16 large model in a resource-constrained environment to solve complex logical reasoning puzzles. The project covers the entire workflow including data exploration, chain-of-thought generation, LoRA training, evaluation, and packaging submission.