Topics / #large-language-model

Large-language-model projects on GitHub

Large language models, their training, inference, and applications.

As of , the most-starred Large-language-model projects on GitHub are minimind (64K stars), Scrapegraph-ai (31.9K stars) and guidance (21.8K stars). GitHub.Locker tracks 7 Large-language-model repositories with 145.4K stars combined. The fastest-growing on October 18 was minimind, with +65 stars in a day.

7Projects
145.4KStars in total
+139Stars in a day
Browse in the catalog →github.com/topics/large-language-model ↗

Hot right now

Most stars gained in a day · Oct 18

+65

minimind

jingyaogong/minimind · ★ 64K

MiniMind is an open-source project that lets you train a tiny large language model (around 64M parameters) completely from scratch, in about 2 hours on a single RTX 3090 for roughly the cost of 3 RMB in GPU rental.

+65

Scrapegraph-ai

ScrapeGraphAI/Scrapegraph-ai · ★ 31.9K

ScrapeGraphAI is a Python web scraping library that uses LLMs and direct graph logic to build scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown). You just say which information you want to extract and it does the rest.

+7

PocketFlow

The-Pocket/PocketFlow · ★ 11.3K

Pocket Flow is a minimalist 100-line LLM framework built around a single Graph abstraction, letting you build agents, workflows, and RAG pipelines without heavy dependencies or vendor lock-in.

+2

guidance

guidance-ai/guidance · ★ 21.8K

Guidance is a Python library — an efficient programming paradigm for steering large language models: you control how output is structured while reducing latency and cost compared with conventional prompting or fine-tuning.

The all-time top

7 projects · by stars

  1. #1 · jingyaogong/minimind

    minimind

    MiniMind is an open-source project that lets you train a tiny large language model (around 64M parameters) completely from scratch, in about 2 hours on a single RTX 3090 for roughly the cost of 3 RMB in GPU rental.

    64K
  2. #2 · ScrapeGraphAI/Scrapegraph-ai

    Scrapegraph-ai

    ScrapeGraphAI is a Python web scraping library that uses LLMs and direct graph logic to build scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown). You just say which information you want to extract and it does the rest.

    31.9K
  3. #3 · guidance-ai/guidance

    guidance

    Guidance is a Python library — an efficient programming paradigm for steering large language models: you control how output is structured while reducing latency and cost compared with conventional prompting or fine-tuning.

    21.8K
  1. 4

    PocketFlow-Tutorial-Codebase-Knowledge

    12.7KThe-Pocket/PocketFlow-Tutorial-Codebase-Knowledge · Python

    A tool that crawls a GitHub repository (or local directory), analyzes the codebase with an LLM to find core abstractions and how they interact, and turns that analysis into a beginner-friendly tutorial with visualizations.

  2. 5

    PocketFlow

    11.3KThe-Pocket/PocketFlow · Python

    Pocket Flow is a minimalist 100-line LLM framework built around a single Graph abstraction, letting you build agents, workflows, and RAG pipelines without heavy dependencies or vendor lock-in.

  3. 6

    ZDTaichu5.0-9B

    3.1KTaichu-AI/ZDTaichu5.0-9B · Python

    ZDTaichu5.0-9B is a multimodal foundation model that combines a Qwen3.5-9B language backbone with a C-RADIOv4-H vision encoder for general visual understanding, spatial reasoning, embodied-AI research and agentic tool use.

  4. 7

    casbin-gateway

    643apache/casbin-gateway · Go

    An open-source gateway for the AI coding agents on your machine: it watches what every agent does, relays their model traffic through one endpoint covering 44 vendors, and grades whether the API behind each key is what you actually paid for.

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