Self-Hosted AI with Ollama
Free, open-source app for Mac, Windows, and Linux. Download and run open models with one command. Browse 235 open models that run on Ollama, see how much RAM each one needs, and open any model for a step-by-step guide to chat with it in TypingMind.

Meditron via Ollama
2 sizes from 3.8 GB
Open-source medical large language model adapted from Llama 2 to the medical domain.

Orca2 via Ollama
2 sizes from 3.8 GB
Orca 2 is built by Microsoft research, and are a fine-tuned version of Meta's Llama 2 models. The model is designed to excel particularly in reasoning.

Alfred via Ollama
24 GB
A robust conversational model designed to be used for both chat and instruct use cases.

Goliath via Ollama
66 GB
A language model created by combining two fine-tuned Llama 2 70B models into one.

Yarn-Llama2 via Ollama
2 sizes from 3.8 GB
An extension of Llama 2 that supports a context of up to 128k tokens.

Xwinlm via Ollama
2 sizes from 3.8 GB
Conversational model based on Llama 2 that performs competitively on various benchmarks.

Yarn-Mistral via Ollama
4.1 GB
An extension of Mistral to support context windows of 64K or 128K.

Mistrallite via Ollama
Mistral AI · 4.1 GB
MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts.

Stable-Beluga via Ollama
3 sizes from 3.8 GB
Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy.

Nous-Hermes via Ollama
2 sizes from 3.8 GB
General use models based on Llama and Llama 2 from Nous Research.

Codebooga via Ollama
19 GB
A high-performing code instruct model created by merging two existing code models.

Open-Orca-Platypus2 via Ollama
7.4 GB
Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. Designed for chat and code generation.

Codeup via Ollama
7.4 GB
Great code generation model based on Llama2.

Medllama2 via Ollama
3.8 GB
Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset.

Orca-Mini via Ollama
4 sizes from 2 GB
A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware.

Llama2-Uncensored via Ollama
Meta · 2 sizes from 3.8 GB
Uncensored Llama 2 model by George Sung and Jarrad Hope.

Llama2-Chinese via Ollama
Meta · 2 sizes from 3.8 GB
Llama 2 based model fine tuned to improve Chinese dialogue ability.

Wizard-Vicuna via Ollama
7.4 GB
Wizard Vicuna is a 13B parameter model based on Llama 2 trained by MelodysDreamj.

Wizard-Vicuna-Uncensored via Ollama
3 sizes from 3.8 GB
Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford.

Vicuna via Ollama
3 sizes from 3.8 GB
General use chat model based on Llama and Llama 2 with 2K to 16K context sizes.

WizardLM-Uncensored via Ollama
7.4 GB
Uncensored version of Wizard LM model

Falcon via Ollama
3 sizes from 4.2 GB
A large language model built by the Technology Innovation Institute (TII) for use in summarization, text generation, and chat bots.

StarCoder via Ollama
4 sizes from 726 MB
StarCoder is a code generation model trained on 80+ programming languages.

Samantha-Mistral via Ollama
4.1 GB
A companion assistant trained in philosophy, psychology, and personal relationships. Based on Mistral.

Mistral-Openorca via Ollama
Mistral AI · 4.1 GB
Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset.
TypingMind for Teams
Bring your self-hosted AI models to your team
Running Ollama models on your own computer keeps your data private. To give your whole company the same private AI, run your models on a company server and connect them to TypingMind Teams. Everyone gets one AI workspace with your self-hosted models next to the cloud models you allow.
- Add your self-hosted models once for the whole team. Nobody has to install anything.
- Self-host TypingMind Teams in your own network, so chats never leave your infrastructure.
- Control who uses which model with SSO, roles, and user groups.
- Set usage limits and review every admin change in the audit log.

