mymusise/ChatGLM-Tuning

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

3740 stars · 434 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Python toolkit for fine-tuning the ChatGLM-6B large language model using LoRA (Low-Rank Adaptation) with the Alpaca dataset. It provides data preprocessing, tokenization, and training scripts runnable on consumer GPUs with 16GB+ VRAM, including Colab notebooks.

Use cases

• fine-tune chatglm-6b on custom instruction data
• train a cheap open-source chatgpt alternative with lora
• convert alpaca dataset to l for finetuning
• run llm finetuning on a single consumer gpu
• try peft lora tuning of chatglm in colab

When to choose

• you want to fine-tune ChatGLM-6B or ChatGLM2 with LoRA on limited hardware
• you need a simple script-based pipeline for instruction tuning with the Alpaca dataset

When to avoid

• you need full-parameter finetuning or RLHF/PPO training, which is not implemented
• you use models other than ChatGLM v1/v2
• you need an actively maintained project with recent updates

Facets

library · maturity maintenance

llm-training machine-learning deep-learning large-language-models machine-learning deep-learning python chatglm lora peft finetuning alpaca colab gpu linux

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