10 Ways To Run LLMs Locally And Which One Works Best For You
A solution is to self-host an open-sourced or custom fine-tuned LLM. Opting for a self-hosted model can reduce costs dramatically - but with additional development time, maintenance overhead, and possible performance implications. Considering self-hosted solutions requires weighing these different trade-offs carefully.
Developing Rapidly with Generative AI
Ollama
Get up and running with large language models locally.
macOS
Download
Windows
Coming soon!
Linux & WSL2
curl https://ollama.ai/install.sh | sh
Manual install instructions
Docker
The official Ollama Docker image ollama/ollama is available on Docker Hub.
Quickstart
To run and chat with Llama 2:
ollama run llama2
Model library
Ollama supports a lis... See more
Get up and running with large language models locally.
macOS
Download
Windows
Coming soon!
Linux & WSL2
curl https://ollama.ai/install.sh | sh
Manual install instructions
Docker
The official Ollama Docker image ollama/ollama is available on Docker Hub.
Quickstart
To run and chat with Llama 2:
ollama run llama2
Model library
Ollama supports a lis... See more
jmorganca • GitHub - jmorganca/ollama: Get up and running with Llama 2 and other large language models locally
Run open-source LLMs on BigQuery ML | Google Cloud Blog
cloud.google.com
LLMTuner
LLMTuner: Fine-Tune Llama, Whisper, and other LLMs with best practices like LoRA, QLoRA, through a sleek, scikit-learn-inspired interface.
LLMTuner: Fine-Tune Llama, Whisper, and other LLMs with best practices like LoRA, QLoRA, through a sleek, scikit-learn-inspired interface.
promptslab • GitHub - promptslab/LLMtuner: Tune LLM in few lines of code
📌 ChatGPT is old. More than 30.000 new AI tools have been released in… | Dr. Joerg Storm | 140 comments
Dr. Joerg Stormlinkedin.com
Create OpenAI like AI assistant with Llama-3 deployed locally on your computer (100% free and without internet): https://t.co/mLIOGM6Ly1