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List-of-all-Models.md

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Overview of LLm Models, Grouped by License and Purpose

Table of Contents


Introduction

➡️ To provide a clearer picture of model performance within an organization, I'll include Elo Rankings :

🔴 Bottom Tier → 🟢 Top Tier

Smaller LLM models are not necessarily older or inferior versions of larger models. They can be designed to run efficiently on lower-end machine specs or for specific tasks, such as text classification or sentiment analysis. These models may use different architectures or techniques to achieve better performance on certain hardware or applications.

➡️ You can find an overall leaderboard at chat.lmsys.org.

Important

If you're concerned about privacy issues related to cloud based LLM providers or you want to experiment with chatbots check out this practical guide on how to set up and run your own model on your local machine.

Proprietary Models

01

Anthropic

Google

Mistral

MosaicML

OpenAI

Perplexity

Open source Models

01

Yi-1.5 (upgraded version of Yi)

Yi

Yi VL (Vision)

Alibaba

Qwen2

Qwen1.5 (the improved version of Qwen)

Qwen

CodeQwen

Cognitive Computations

Qwen

Mixtral

Llama

Phi

Cohere

Aya 23

Command R Plus

Command R

Databricks

DeepSeek

LLM

Coder

VL (Vision)

Math

MoE

Google

Gemma

PaliGemma (Vision)

CodeGemma (Coding)

Hugging Face

Zephyr ORPO

Zephyr 7B

Starchat (Coding)

LMSYS

Meta

Microsoft

Phi-3

Phi-1

Mixtral

Mixtral (MoE)

Mistral

Codestral (Coding)