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Local LLM Guide

Model

Meta Llama 3.1 8B Instruct

Start with a supported compressed build and short context. 16GB RAM estimate. Best use: balanced local general chat

8.03BText chat

Best use

balanced local general chat · multilingual assistant use

Memory planning

16GB RAM estimate

Expected pace

Depends on your hardware, app, and conversation length

License

Llama 3.1 Community License; read the model’s terms before use

Who should use this model?

  • balanced local general chat
  • multilingual assistant use
  • tool-calling and lightweight agent workflows
  • document search/chatbot baselines on consumer hardware

Choose something else when

  • you need top-tier reasoning quality
  • you only have 8 GB system RAM and want long contexts
  • you require an Apache-2.0 license

What hardware makes sense?

The download is only part of the memory needed. Leave room for the app, the input it processes, and other open programs. For chat models, context includes the instructions, conversation, and answer. Longer context needs more memory.

CPU only
A possible starting point with a compressed model and short conversation; check the exact file size.
8GB system memory
Memory or response time may limit use. Try a smaller model first.
16GB system memory
A possible starting point with a compressed model and short conversation; check the exact file size.
32GB system memory
A possible starting point with a compressed model and short conversation; check the exact file size.
8GB GPU memory
A possible starting point with a compressed model and short conversation; check the exact file size.
12GB GPU memory
A possible starting point with a compressed model and short conversation; check the exact file size.
24GB GPU memory
A possible starting point with a compressed model and short conversation; check the exact file size.
Apple unified memory
A possible starting point with a compressed model and short conversation; check the exact file size.

Model facts that change the decision

Parameters
8.03B
Input
Text
Published context limit
128,000 tokens
Model format
safetensors · GGUF · Ollama
Suggested compression
Q4_K_M
Typical Q4 file
4.92GB before runtime and context overhead
Languages
English · German · French · Italian · Portuguese · Hindi · Spanish · Thai

First setup

Ollama

ollama run llama3.1:8b

LM Studio: Search for bartowski/Meta-Llama-3.1-8B-Instruct-GGUF and select Q4_K_M or Q5_K_M.

llama.cpp

llama-server -hf bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M

Conditions that change the answer

  • Memory needs include the model file, the app, and conversation memory. Longer conversations and other open apps need more space.
  • The Llama license is not Apache-2.0; review the acceptable-use and redistribution terms before commercial catalog use.

Read the controlling license text →