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.

Starling-Lm via Ollama
4.1 GB
Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness.

Dolphin-Mistral via Ollama
4.1 GB
The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8.

Stable-Code via Ollama
1.6 GB
Stable Code 3B is a coding model with instruct and code completion variants on par with models such as Code Llama 7B that are 2.5x larger.

LLaVA via Ollama
3 sizes from 4.7 GB
๐ LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. Updated to version 1.6.

Sqlcoder via Ollama
2 sizes from 4.1 GB
SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks

Tinydolphin via Ollama
637 MB
An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset by Eric Hartford and based on TinyLlama.

Duckdb-Nsql via Ollama
3.8 GB
7B parameter text-to-SQL model made by MotherDuck and Numbers Station.

Nexusraven via Ollama
7.4 GB
Nexus Raven is a 13B instruction tuned model for function calling tasks.

Megadolphin via Ollama
68 GB
MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself.

Openchat via Ollama
4.1 GB
A family of open-source models trained on a wide variety of data, surpassing ChatGPT on various benchmarks. Updated to version 3.5-0106.

Llama-Pro via Ollama
Meta ยท 4.7 GB
An expansion of Llama 2 that specializes in integrating both general language understanding and domain-specific knowledge, particularly in programming and mathematics.

Phi via Ollama
Microsoft ยท 1.6 GB
Phi-2: a 2.7B language model by Microsoft Research that demonstrates outstanding reasoning and language understanding capabilities.

WizardCoder via Ollama
19 GB
State-of-the-art code generation model

Nous-Hermes2 via Ollama
2 sizes from 6.1 GB
The powerful family of models by Nous Research that excels at scientific discussion and coding tasks.

TinyLlama via Ollama
638 MB
The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens.

Notus via Ollama
4.1 GB
A 7B chat model fine-tuned with high-quality data and based on Zephyr.

OpenHermes via Ollama
4.1 GB
OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully open datasets.

Notux via Ollama
26 GB
A top-performing mixture of experts model, fine-tuned with high-quality data.

Phind-CodeLlama via Ollama
Microsoft ยท 19 GB
Code generation model based on Code Llama.

DeepSeek-Coder via Ollama
DeepSeek ยท 3 sizes from 776 MB
DeepSeek Coder is a capable coding model trained on two trillion code and natural language tokens.

Llama2 via Ollama
Meta ยท 3 sizes from 3.8 GB
Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters.

Everythinglm via Ollama
7.4 GB
Uncensored Llama2 based model with support for a 16K context window.

StableLM-Zephyr via Ollama
1.6 GB
A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware.

Dolphin-Phi via Ollama
1.6 GB
2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research.

Neural-Chat via Ollama
4.1 GB
A fine-tuned model based on Mistral with good coverage of domain and language.

Wizard-Math via Ollama
3 sizes from 4.1 GB
Model focused on math and logic problems

Solar via Ollama
6.1 GB
A compact, yet powerful 10.7B large language model designed for single-turn conversation.

Bakllava via Ollama
4.7 GB
BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture.

DeepSeek-LLM via Ollama
DeepSeek ยท 2 sizes from 4 GB
An advanced language model crafted with 2 trillion bilingual tokens.

Magicoder via Ollama
3.8 GB
๐ฉ Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets.
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.

