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.

Showing 31-60 of 235 models

Clef via Ollama

20 GB

Clef is a 27B multimodal model created by Cloudflare that turns a state and a schema of typed questions into decisions.

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Clef-Flash via Ollama

12 GB

Clef-Flash is a 9B multimodal model that turns a state and a schema of typed questions into decisions.

256K context
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Alibaba logo

Qwen3.5 via Ollama

Alibaba · 7 sizes from 1.3 GB

Qwen 3.5 is a family of open-source multimodal models that delivers exceptional utility and performance.

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Strands-Decider via Ollama

2 GB

A 2B decision model from Strands Agents for fast classification, routing, and scoring.

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Nimble-V3 via Ollama

9.5 GB

A 9B decision model from Bespoke Labs for fast classification, routing, and scoring.

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Google logo

Gemma4 via Ollama

Google · 5 sizes from 7.5 GB

Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.

256K context
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OpenAI logo

GPT-OSS via Ollama

OpenAI · 2 sizes from 14 GB

OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.

128K context
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Google logo

Gemma3 via Ollama

Google · 5 sizes from 292 MB

The current, most capable model that runs on a single GPU.

128K context
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Laguna-Xs-2.1 via Ollama

20 GB

Laguna XS 2.1 is a 33B total parameter Mixture-of-Experts model with 3B activated parameters per token designed for agentic coding and long-horizon work on a local machine.

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Muse-Glimmer via Ollama

18 GB

Meta's latest open model built for always-on local agents. 30B parameters, licensed under Apache 2.0 and runs on a single GPU — tuned for tool use, long tasks, and failure recovery.

128K context
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Laguna-S-2.1 via Ollama

96 GB

Our most capable model to date, designed for long-horizon work. 70.2% on Terminal-Bench 2.1 at 118B-A8B.

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IBM logo

Granite4.2 via Ollama

IBM · 3 sizes from 2.2 GB

IBM Granite Models are a family of enterprise-ready, open foundation models that support multilingual capabilities, coding, retrieval-augmented generation (RAG), tool use, thinking and structured JSON output. Released under Apache 2.0 license.

128K context
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Laguna-Xs.2 via Ollama

23 GB

Laguna XS.2 is a 33B total parameter Mixture-of-Experts model with 3B activated parameters per token designed for agentic coding and long-horizon work on a local machine.

128K context
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Ornith via Ollama

2 sizes from 5.6 GB

A self-improving family of open-source models for agentic coding

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North-Mini-Code-1.0 via Ollama

19 GB

North Mini Code is Cohere's first model for developers — a 30B Mixture-of-Experts model with 3B active parameters, built for agentic software engineering.

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IBM logo

Granite4.1-Guardian via Ollama

IBM · 6.9 GB

Granite Guardian 4.1 is a specialized safety and judging model from IBM Research that evaluates whether LLM prompts and responses meet specified harm criteria.

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Z.ai logo

GLM-4.7-Flash via Ollama

Z.ai · 19 GB

As the strongest model in the 30B class, GLM-4.7-Flash offers a new option for lightweight deployment that balances performance and efficiency.

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MiniCPM-V4.5 via Ollama

6.1 GB

A GPT-4o Level MLLM for Single Image, Multi Image and High-FPS Video Understanding on Your Phone

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MiniCPM-V4.6 via Ollama

1.6 GB

A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone

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IBM logo

Granite4.1 via Ollama

IBM · 3 sizes from 2.1 GB

IBM Granite Models are a family of enterprise-ready, open foundation models that support multilingual capabilities, coding, retrieval-augmented generation (RAG), tool use, and structured JSON output. Released under Apache 2.0 license.

128K context
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Mistral AI logo

Mistral-Medium-3.5 via Ollama

Mistral AI · 80 GB

Mistral Medium 3.5 is the first flagship model of Mistral AI that merged instruction-following, reasoning, and coding in a single set of 128B weights.

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Google logo

MedGemma via Ollama

Google · 2 sizes from 3.3 GB

MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension.

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Google logo

MedGemma1.5 via Ollama

Google · 3.3 GB

MedGemma 1.5 4B is an updated version of the MedGemma 4B model.

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NVIDIA logo

Nemotron-3-Super via Ollama

NVIDIA · 87 GB

NVIDIA Nemotron 3 Super is a 120B open MoE model activating just 12B parameters to deliver maximum compute efficiency and accuracy for complex multi-agent applications.

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Liquid AI logo

LFM2 via Ollama

Liquid AI · 14 GB

LFM2 is a family of hybrid models designed for on-device deployment. LFM2-24B-A2B is the largest model in the family, scaling the architecture to 24 billion parameters while keeping inference efficient.

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Alibaba logo

Qwen3-Coder-Next via Ollama

Alibaba · 52 GB

Qwen3-Coder-Next is a coding-focused language model from Alibaba's Qwen team, optimized for agentic coding workflows and local development.

256K context
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Liquid AI logo

LFM2.5-Thinking via Ollama

Liquid AI · 731 MB

LFM2.5 is a new family of hybrid models designed for on-device deployment.

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Translategemma via Ollama

3 sizes from 3.3 GB

A new collection of open translation models built on Gemma 3, helping people communicate across 55 languages.

128K context
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Google logo

FunctionGemma via Ollama

Google · 301 MB

FunctionGemma is a specialized version of Google's Gemma 3 270M model fine-tuned explicitly for function calling.

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Ai2 logo

OLMo-3.1 via Ollama

Ai2 · 19 GB

Olmo is a series of Open language models designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets.

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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.
Self-host TypingMind Teams on GitHub, Google Cloud, Docker, MySQL, AWS, or Node.js