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.

Showing 181-210 of 284 models

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.

8K context
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Dolphin-Mistral via Ollama

4.1 GB

The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8.

32K context
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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.

16K context
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LLaVA via Ollama

3 sizes from 4.7 GB

๐ŸŒ‹ 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.

32K context
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Sqlcoder via Ollama

2 sizes from 4.1 GB

SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks

32K context
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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.

4K context
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Duckdb-Nsql via Ollama

3.8 GB

7B parameter text-to-SQL model made by MotherDuck and Numbers Station.

16K context
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Nexusraven via Ollama

7.4 GB

Nexus Raven is a 13B instruction tuned model for function calling tasks.

16K context
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Megadolphin via Ollama

68 GB

MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself.

4K context
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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.

8K context
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Meta logo

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.

4K context
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Microsoft logo

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.

2K context
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WizardCoder via Ollama

19 GB

State-of-the-art code generation model

16K context
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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.

4K context
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TinyLlama via Ollama

638 MB

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

2K context
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Notus via Ollama

4.1 GB

A 7B chat model fine-tuned with high-quality data and based on Zephyr.

32K context
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OpenHermes via Ollama

4.1 GB

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

32K context
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Notux via Ollama

26 GB

A top-performing mixture of experts model, fine-tuned with high-quality data.

32K context
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Microsoft logo

Phind-CodeLlama via Ollama

Microsoft ยท 19 GB

Code generation model based on Code Llama.

16K context
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DeepSeek logo

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.

16K context
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Meta logo

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.

4K context
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Everythinglm via Ollama

7.4 GB

Uncensored Llama2 based model with support for a 16K context window.

16K context
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StableLM-Zephyr via Ollama

1.6 GB

A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware.

4K context
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Dolphin-Phi via Ollama

1.6 GB

2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research.

2K context
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Neural-Chat via Ollama

4.1 GB

A fine-tuned model based on Mistral with good coverage of domain and language.

32K context
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Wizard-Math via Ollama

3 sizes from 4.1 GB

Model focused on math and logic problems

32K context
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Solar via Ollama

6.1 GB

A compact, yet powerful 10.7B large language model designed for single-turn conversation.

4K context
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Bakllava via Ollama

4.7 GB

BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture.

32K context
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DeepSeek logo

DeepSeek-LLM via Ollama

DeepSeek ยท 2 sizes from 4 GB

An advanced language model crafted with 2 trillion bilingual tokens.

4K context
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Magicoder via Ollama

3.8 GB

๐ŸŽฉ 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.

16K context
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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.
Self-host TypingMind Teams on GitHub, Google Cloud, Docker, MySQL, AWS, or Node.js