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.

Internlm2 via Ollama
4 sizes from 1.1 GB
InternLM2.5 is a 7B parameter model tailored for practical scenarios with outstanding reasoning capability.

Gemma2 via Ollama
Google · 3 sizes from 1.6 GB
Google Gemma 2 is a high-performing and efficient model available in three sizes: 2B, 9B, and 27B.

Phi3 via Ollama
Microsoft · 2 sizes from 2.2 GB
Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art open models by Microsoft.

Llama3-Groq-Tool-Use via Ollama
Meta · 2 sizes from 4.7 GB
A series of models from Groq that represent a significant advancement in open-source AI capabilities for tool use/function calling.

Nuextract via Ollama
2.2 GB
A 3.8B model fine-tuned on a private high-quality synthetic dataset for information extraction, based on Phi-3.

CodeGemma via Ollama
Google · 2 sizes from 1.6 GB
CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following.

CodeLlama via Ollama
Meta · 4 sizes from 3.8 GB
A large language model that can use text prompts to generate and discuss code.

Firefunction-V2 via Ollama
40 GB
An open weights function calling model based on Llama 3, competitive with GPT-4o function calling capabilities.

Mathstral via Ollama
Mistral AI · 4.1 GB
MathΣtral: a 7B model designed for math reasoning and scientific discovery by Mistral AI.

Codegeex4 via Ollama
5.5 GB
A versatile model for AI software development scenarios, including code completion.

GLM4 via Ollama
Z.ai · 5.5 GB
A strong multi-lingual general language model with competitive performance to Llama 3.

CodeQwen via Ollama
Alibaba · 4.2 GB
CodeQwen1.5 is a large language model pretrained on a large amount of code data.

DeepSeek-V2 via Ollama
DeepSeek · 2 sizes from 8.9 GB
A strong, economical, and efficient Mixture-of-Experts language model.

Aya via Ollama
Cohere · 2 sizes from 4.8 GB
Aya 23, released by Cohere, is a new family of state-of-the-art, multilingual models that support 23 languages.

Llama3 via Ollama
Meta · 2 sizes from 4.7 GB
Meta Llama 3: The most capable openly available LLM to date

Falcon2 via Ollama
6.4 GB
Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens.

Yi via Ollama
3 sizes from 3.5 GB
Yi 1.5 is a high-performing, bilingual language model.

Llama3-Chatqa via Ollama
Meta · 2 sizes from 4.7 GB
A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG).

Dolphin-Llama3 via Ollama
2 sizes from 4.7 GB
Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on Llama 3 that has a variety of instruction, conversational, and coding skills.

LLaVA-Phi3 via Ollama
2.9 GB
A new small LLaVA model fine-tuned from Phi 3 Mini.

Moondream via Ollama
1.7 GB
moondream2 is a small vision language model designed to run efficiently on edge devices.

LLaVA-Llama3 via Ollama
5.5 GB
A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks.

StableLM2 via Ollama
2 sizes from 983 MB
Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch.

Llama3-Gradient via Ollama
Meta · 2 sizes from 4.7 GB
This model extends LLama-3 8B's context length from 8k to over 1m tokens.

Qwen via Ollama
Alibaba · 8 sizes from 395 MB
Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters

Dbrx via Ollama
74 GB
DBRX is an open, general-purpose LLM created by Databricks.

WizardLM2 via Ollama
2 sizes from 4.1 GB
State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases.

Zephyr via Ollama
2 sizes from 4.1 GB
Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants.

Gemma via Ollama
Google · 2 sizes from 1.7 GB
Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1

Dolphincoder via Ollama
2 sizes from 4.2 GB
A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2.
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.

