With quantum LLMs now available on HuggingFace and AI ecosystems like H20, Text Gen and GPT4All that allow you to load LLM weights on your computer, you now have the option for free, flexible and secure AI. Here are the 9 best local/offline LLMs you can try now!

Hermes 2 Pro is an advanced language model fine-tuned by Nous Research. It uses an updated and compacted version of the OpenHermes 2.5 dataset, along with the company's newly introduced Function Calling and JSON datasets developed in-house. The model is based on the Mistral 7B architecture and has been trained on 1,000,000 instructions/conversations of GPT-4 quality or higher, primarily synthetic data.
Zephyr is a series of language models trained to act as helpful assistants. Zephyr-7B-Beta is the second model in the series, fine-tuned from Mistral-7B-v0.1 using Direct Preference Optimization (DPO) on a mixture of publicly available synthetic datasets.

This quantized version of the Falcon is based on a decoder-only architecture refined on TII's raw Falcon-7b model. The base Falcon model is trained using 1.5 trillion outstanding tokens sourced from the public Internet. As an Apache 2-licensed command-based decoder-only model, Falcon Instruct is perfect for small businesses looking for a model to use for language translation and data entry.
GPT4All-J Groovy is a decoder-only model fine-tuned by Nomic AI and licensed under Apache 2.0. GPT4ALL-J Groovy is based on the original GPT-J model, which is known to be excellent at generating text from prompt. GPT4ALL -J Groovy has been refined into a conversational model, which is great for quick and creative text generation applications. This makes GPT4All-J Groovy ideal for content creators in supporting their writing and composition, whether it is poetry, music or stories.

DeepSeek Coder V2 is an advanced language model that enhances programming and mathematical reasoning. DeepSeek Coder V2 supports multiple programming languages and provides extended context lengths, making it a versatile tool for developers.

Mixtral-8x7B is a mixture of expert (MoE) models developed by Mistral AI. It has 8 experts per MLP, totaling 45 billion parameters. However, only two experts are activated per token during the inference process, making it computationally efficient, with speed and cost comparable to a 12 billion parameter model.
Wizard-Vicuna GPTQ is a quantum version of Wizard Vicuna based on the LlaMA model. Unlike most LLMs released to the public, Wizard-Vicuna is an uncensored model with affiliation removed. This means the model does not have the same safety and ethical standards as most other models.

Are you looking to test a model trained with a unique learning method? Orca Mini is an unofficial implementation of Microsoft's Orca research papers. The model is trained using a teacher-student learning method, where the dataset is filled with explanations instead of just prompts and feedback. Theoretically, this should make students smarter, in that the model can understand the problem instead of just looking for input and output pairs like how conventional LLM works.

Llama 2 is the successor to the original Llama LLM, providing improved performance and flexibility. The 13B Chat GPTQ variant is fine-tuned for conversational AI applications optimized for English dialogue.
Some of the models listed above have multiple versions in terms of specifications. In general, instances with higher specifications deliver better results but require more powerful hardware, while instances with lower specifications produce lower quality results but can run on the same hardware. lower level hardness. If you are not sure whether your PC can run this model, try using a version with lower specifications first, then continue until you feel the performance loss is no longer acceptable. .