beyondguo/LLM-Tuning resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1014 stars · 96 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of tutorials, scripts, and research code for fine-tuning large language models (LLaMA2, Qwen, ChatGLM, Baichuan, InternLM) with LoRA and RLHF. It also hosts the Sample Design Engineering (SDE) research from an accompanying paper on designing better fine-tuning samples.

Use cases

• fine-tune chatglm with lora
• run rlhf on baichuan-7b
• learn how to fine-tune open-source llms
• improve downstream fine-tuning sample design
• loRA tuning tutorial for chinese llms
• train a chatbot from hc3 dataset

When to choose

• you want hands-on, reproducible LoRA/RLHF fine-tuning examples for Chinese and open LLMs
• you're researching how fine-tuning sample design affects LLM performance
• you want a gentle entry point into LLM fine-tuning with minimal code

When to avoid

• you need a production-grade, maintained training framework with broad model support
• you require a licensed, well-supported library for commercial deployment
• you need multi-GPU distributed training at scale

Facets

learning-resource · maturity maintenance

llm-training machine-learning large-language-models machine-learning tutorials python lora fine-tuning rlhf sample-design-engineering chinese-llms research-code gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="beyondguo/LLM-Tuning")