Back to rankings

datawhalechina / self-llm

"Open Source Large Model Eating Guide" is a tutorial for rapid fine-tuning (full parameters/Lora) and deployment of domestic and foreign open source large models (LLM)/multimodal large models (MLLM) based on Linux environment tailored for Chinese babies.

Repository stars
32,679All-time #1,074
Fork
3,147
Last push
updated 8 days ago
Repository created
since 2023
Guides & collectionsGetting startedJupyter NotebookApache-2.0 · Permissive
View source

About

Summarised by AI from the README; the original prevails

Author description: "Open Source Large Model Eating Guide" is a tutorial for rapid fine-tuning (full parameters/Lora) and deployment of domestic and foreign open source large models (LLM)/multimodal large models (MLLM) based on Linux environment tailored for Chinese babies.

Basic listing based on official public information; functionality has not been independently evaluated.

Platform
Not verified
Pricing
Pricing not verifiedCheck current official software, hosting, model and infrastructure pricing.
Maintenance notes
Not verified

Star trend

Includes values estimated from GitHub history
32,34132,51032,67910-0710-1210-1710-2210-2711-0111-05

First collected 2026-11-03Measured at 2026-11-02 18:59 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.