4 Best LLaMA-Cult-and-More Alternatives in 2026 (Open Source)

LLaMA-Cult-and-More — Large Language Models for All, 🦙 Cult and More, Stay in touch !. vs Awesome-LLM / Papers With Code: practitioner-oriented catalog with detailed model specs (parameters, training data, license), alignment post-training guides, and efficient fine-tuning technique references in a single document

These 4 open-source tools do the same job. They are ordered by how closely they match LLaMA-Cult-and-More, with live GitHub data so you can see which projects are actively maintained.

ToolGitHub starsStars / 30dLast commit
LLaMA-Cult-and-More(original)447+-12023-06-01
Open LLMs12.9k+322025-02-13
Awesome Best of AI731+232026-09-18
AI Collection9.2k+552026-09-30
LLM-eval-survey1.6k+32026-09-13
  1. 1. Open LLMs

    📋 A list of open LLMs available for commercial use.

    What sets it apart: The go-to curated reference for commercially-licensable open LLMs with clear license tracking — a simple but essential resource vs model hubs that don't filter by commercial usability

    Best for: Teams evaluating which open-source LLMs are safe for commercial use; Researchers tracking the landscape of openly available language models

  2. 2. Awesome Best of AI

    A curated list of best ai tools

    What sets it apart: vs ai-collection/awesome lists: focuses exclusively on actively-maintained, widely-adopted tools with quality curation across 8 AI categories

    Best for: Discovering top AI tools across diverse categories; Market research on the actively-maintained AI landscape

  3. 3. AI Collection

    The Generative AI Landscape - A Collection of Awesome Generative AI Applications

    What sets it apart: vs Product Hunt/alternatives.to: focused exclusively on generative AI with 4172+ apps across 43 categories, community-maintained

    Best for: Discovering AI applications across diverse categories; Market research on the generative AI landscape

  4. 4. LLM-eval-survey

    The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".

    What sets it apart: Comprehensive survey and curated collection of LLM evaluation papers and resources organized by what, where, and how to evaluate

    Best for: llm-evaluation-research; finding-evaluation-benchmarks; understanding-eval-landscape