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Meta Llama 3.1 8B: Local Model with 128K Context
Meta open-text model, which can be run on 16GB laptops and support 8 languages with 128,000 tokens context for long texts.
Meta introduced Llama 3.1 8B Instruct (part of multilingual generative models with 8B, 70B and 405B params) in July 2024. This is currently the most downloaded open model on Hugging Face, with almost six million downloads per month. It’s available in English, German, French, Italian, Portuguese, Hindi, Spanish and Thai. The model has 128,000 tokens context, which should be enough for any long document. It also supports tools and functions, making it usable for creating simple local agents. It is ~4.8GB in 4-bit and can run on a laptop with 16GB of RAM.
Why a vibe-coder should care
If you want to start experimenting with local language models, this is probably the safest bet since it’s an official release from Meta, not some fine-tuned version by an unknown person. It’s pretty good at performing simple repetitive tasks, processing documents and doing experiments offline. As far as the answers go, they’re obviously much simpler compared to the latest models like Claude or GPT, so I wouldn’t recommend using it for more serious agenty stuff.
How to install
Copy this and send it to your agent — Claude Code, Codex, any of them:
Install Meta Llama 3.1 8B locally: https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct — find a quantized GGUF version or set it up via Ollama and show me how to use it
A regular laptop with 16 GB of RAM or more — in 4-bit format the model takes about 4.8 GB.
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