Large Language Models (LLMs)
These open-source LLMs can be run locally and are on GitHub:
Alibaba Qwen https://github.com/QwenLM/Qwen3
AllenAI OLMO https://github.com/allenai/OLMo-core/
Baichuan https://github.com/baichuan-inc
Baidu ERNIE https://github.com/PaddlePaddle/ERNIE
ERNIE for the rest of us https://github.com/hotpads/ERNIE-for-the-Rest-of-Us
DeepSeek https://github.com/deepseek-ai/DeepSeek-LLM
Deepmind Gemma series https://github.com/google-deepmind/gemma
IBM Granite https://github.com/ibm-granite
Meta Llama https://github.com/meta-llama/llama
Microsoft Phi (SLM) https://github.com/microsoft/PhiCookBook
MiniMax https://github.com/MiniMax-AI/MiniMax-01
Mistral https://github.com/mistralai/mistral-inference
Moonshot Kimi https://github.com/MoonshotAI
Nanbeige Labs https://github.com/Nanbeige HuggingFace: https://huggingface.co/Nanbeige
Yi Technology - Yi series https://github.com/01-ai
Z.AI GLM series https://github.com/zai-org
https://github.com/ollama/ollama
https://github.com/lmstudio-ai
This will avoid the need to use Ollama or LM Studio to run local LLMs. Local Model uses https://github.com/SciSharp/LLamaSharp rather than Llama.cpp which is used by Ollama and LM Studio.
To avoid having to use Ollama or LM Studio to download LLMs, from TARILIO 1.1.9400 there is an AI > Import LLMs... menu item which downloads .gguf models from 
https://github.com/ibm-granite-community/granite-legal-cookbook
https://github.com/anthropics/
https://github.com/NVIDIA-NeMo/Nemotron
https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard
https://huggingface.co/blog/grimjim/norm-preserving-biprojected-abliteration