PhoebusSi/Alpaca-CoT
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！ observed · 2026-08-28
Health v2 · maintenance only
30/100
- Activity 0
- Release rhythm 35
- Longevity 89
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1258
- days_rel: n/a
- days_push: 995
- n_releases_24m: 0
Adoption not part of the score
2791 stars · 247 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Alpaca-CoT is an instruction-tuning platform that unifies interfaces for instruction data collection, parameter-efficient fine-tuning methods (LoRA, p-tuning), and multiple large language models like LLaMA and ChatGLM. It provides an easy-to-use framework for researchers to fine-tune LLMs with chain-of-thought and other instruction datasets.
Use cases
- fine-tune llama with lora on instruction data
- instruction-tune chatglm with chain-of-thought datasets
- compare parameter-efficient tuning methods on llms
- train an alpaca-style chat model on a single gpu
- unified platform for llm fine-tuning experiments
When to choose
- you want to fine-tune open LLMs like LLaMA or ChatGLM with LoRA or p-tuning
- you need a unified interface for multiple instruction-tuning datasets and models
- you are a researcher experimenting with parameter-efficient methods
When to avoid
- you need the latest fine-tuning stack with active development
- you want full-parameter fine-tuning at scale on multi-node clusters
- you need production inference serving rather than fine-tuning
Facets
framework · maturity maintenance
llm-training machine-learning agent-framework large-language-models machine-learning deep-learning python instruction-tuning lora p-tuning parameter-efficient-fine-tuning chatglm llama chain-of-thought pytorch fine-tuning gpu linux
1 source
- readme: https://github.com/PhoebusSi/Alpaca-CoT · fetched 2026-08-28 · a24d1ac4c93b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| PhoebusSi/Alpaca-CoT | main | 30 |
For agents
markdown · JSON · MCP: product_card(name="PhoebusSi/Alpaca-CoT")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem