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Local LLM Guide

Model

Meta Llama 3.2 1B Instruct

Start with a supported compressed build and short context. 4GB RAM estimate. Best use: very small local chat deployments

1BText chat

Best use

very small local chat deployments · edge devices

Memory planning

4GB RAM estimate

Expected pace

Depends on your hardware, app, and conversation length

License

Llama 3.2 Community License; read the model’s terms before use

Who should use this model?

  • very small local chat deployments
  • edge devices
  • summarization and rewriting
  • personal information management experiments

Choose something else when

  • you need strong reasoning
  • you need high factual accuracy on complex tasks
  • you need supported explicit tool-call support rather than agentic-retrieval support

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
A possible starting point with a compressed model and short conversation; check the exact file size.
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
1B
Input
Text
Published context limit
128,000 tokens
Model format
safetensors · GGUF · Ollama
Suggested compression
Q4_K_M
Typical Q4 file
0.81GB before runtime and context overhead
Languages
English · German · French · Italian · Portuguese · Hindi · Spanish · Thai

First setup

Ollama

ollama run llama3.2:1b

LM Studio: Use bartowski/Llama-3.2-1B-Instruct-GGUF and select Q4_K_M or Q5_K_M.

llama.cpp

llama-server -hf bartowski/Llama-3.2-1B-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.
  • Check that this exact model can use your app’s connected tools before relying on that feature.

Read the controlling license text →