llm-action social preview
fine-tuning24,466Apache 2.0

llm-action

本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)

Updated Jun 8, 2026
Platforms
Pricing
free-open-source
Status
active
License
Apache 2.0

What it does

Core capabilities at a glance

  • LLM Inference
  • LLM Serving
  • LLM Training
  • Llmops

Deep dive

The full breakdown - performance, comparisons, and setup

llm-action

llm-action is a fine-tuning toolkit - 本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地).

Overview

llm-action is open-source, written primarily in HTML, with 24,464 GitHub stars under the Apache 2.0 license. It was last updated on 2026-05-25.

Key capabilities

From the project's documentation:

  • 基于 Megatron-DeepSpeed 从 0 到1 完成 LLaMA 预训练
  • 基于 Megatron-DeepSpeed 从 0 到1 完成 Bloom 预训练
  • LLM-Pruner(LLM-Pruner: On the Structural Pruning of Large Language Models)
  • LLM-Shearing(Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning)
  • SliceGPT: Compress Large Language Models by Deleting Rows and Columns
  • SparseGPT(SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot)

How it fits a local-AI stack

llm-action runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related fine-tuning toolkits in the directory:

Sources

Stats from GitHub, 2026-06-08.

Frequently asked

Quick answers to common questions

What is llm-action?

llm-action is a fine-tuning tool for local AI workloads. 本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)

Is llm-action free and open source?

Yes, llm-action has 24,466 GitHub stars and is licensed under Apache 2.0. You can self-host it for free on .

What hardware do I need for llm-action?

The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. llm-action has 24,466 GitHub stars and an active community.

Does llm-action support GPU acceleration?

llm-action's GPU support depends on your specific setup. Check the documentation for details. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.

What are the best alternatives to llm-action?

Popular alternatives include other fine-tuning tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.

How much does llm-action cost?

llm-action is free-open-source. It is completely free and open source to self-host.

Pairs well with

Complementary tools, models, and hardware

Comments coming soon

Configure NEXT_PUBLIC_GISCUS_REPO_ID and NEXT_PUBLIC_GISCUS_CATEGORY_ID at giscus.app to enable.