Text model · llama
Llama 3.2 3B requirements
llama family · 3B params · released Sep 2024 · 59.5M Ollama pulls · LMArena Elo 1166. Minimum to run at Q4_K_M: Apple M1 (8GB).
Quantization sizes
| Quantization | Size on disk |
|---|---|
| Q2_K | 1.3 GB est |
| Q3_K_M | 1.5 GB est |
| Q4_K_M (default) | 2.02 GB |
| Q5_K_M | 2.1 GB est |
| Q6_K | 2.5 GB est |
| Q8_0 | 3.42 GB |
| FP16 | 6 GB est |
Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.
Run it
ollama run llama3.2:3b llama-cli -hf unsloth/Llama-3.2-3B-Instruct-GGUF:Q4_K_M lms get unsloth/Llama-3.2-3B-Instruct-GGUF Which devices can run Llama 3.2 3B?
Apple Silicon Macs
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM or RAM does Llama 3.2 3B need?
At Q4_K_M, Llama 3.2 3B needs about 3.2 GB (weights ~2.02 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~4.6 GB.
Can Llama 3.2 3B run on a laptop?
Yes, Llama 3.2 3B fits on a 16 GB machine at Q4_K_M and runs on Apple Silicon or a 12 GB+ GPU comfortably.
Can I use Llama 3.2 3B commercially?
Conditionally. Llama 3.2 Community License: free under 700M MAU.
Released September 25, 2024. Text-only edge model. Ollama default tag is 3B at 2.0GB. HF unsloth repo confirms 2.02GB Q4_K_M and 3.42GB Q8_0.
Sources
Memory figures are estimates. See methodology.