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Large Language Models (LLMs)
These open-source LLMs can be run locally and are on GitHub:
Alibaba Qwen https://github.com/QwenLM/Qwen3
Baichuan https://github.com/baichuan-inc
DeepSeek https://github.com/deepseek-ai/DeepSeek-LLM
Deepmind Gemma series https://github.com/google-deepmind/gemma
IBM Granite https://github.com/zai-org
Meta Llama https://github.com/meta-llama/llama
Microsoft Phi (SLM) https://github.com/microsoft/PhiCookBook
Mistral https://github.com/mistralai/mistral-inference
Moonshot Kimi https://github.com/MoonshotAI
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. In addition from eSearch 1.1.9400 to avoid having to use Ollama or LM Studio to download LLMs, there is an AI > Import LLMs... menu item which downloads .gguf models from
Anthropics DXT Claude Code etc. https://github.com/anthropics/
Anthropics official DXT Directory https://www.desktopextensions.com/