Self-Hosted AI
Run private AI models on your own computer and chat with them in TypingMind. Browse 284 open models, see how much RAM each one needs, and open any model for a step-by-step guide. Your prompts stay on your machine.

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.

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.

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.

Strands-Decider via Ollama
2 GB
A 2B decision model from Strands Agents for fast classification, routing, and scoring.

Nimble-V3 via Ollama
9.5 GB
A 9B decision model from Bespoke Labs for fast classification, routing, and scoring.

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.

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.

Gemma3 via Ollama
Google · 5 sizes from 292 MB
The current, most capable model that runs on a single GPU.

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.

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.

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.

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.

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.

Ornith via Ollama
2 sizes from 5.6 GB
A self-improving family of open-source models for agentic coding

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.

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.

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.

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

MiniCPM-V4.6 via Ollama
1.6 GB
A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone

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.

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.

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.

MedGemma1.5 via Ollama
Google · 3.3 GB
MedGemma 1.5 4B is an updated version of the MedGemma 4B model.

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.

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.

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.

LFM2.5-Thinking via Ollama
Liquid AI · 731 MB
LFM2.5 is a new family of hybrid models designed for on-device deployment.

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.

FunctionGemma via Ollama
Google · 301 MB
FunctionGemma is a specialized version of Google's Gemma 3 270M model fine-tuned explicitly for function calling.

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.
TypingMind for Teams
Bring your self-hosted AI models to your team
Running self-hosted AI 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.

