Meta
Llama 3.2 3B Instruct
Meta's compact 3B model designed for edge and mobile deployment.
3.2B parametersllamallama3.2128K context2.38GB - 3.69GB VRAM
Check Your Hardware
See which quantizations of Llama 3.2 3B Instruct your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 1.881 GB | 2.38 GB | 2.88 GB | 85% |
| Q5_K_M | 5.5 | 2.163 GB | 2.66 GB | 3.16 GB | 90% |
| Q8_0 | 8 | 3.187 GB | 3.69 GB | 4.19 GB | 98% |
See It In Action
Real model outputs generated via RunThisModel.com — watch responses stream in real time.
Llama 3.3 70B responding...
Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.
Frequently Asked Questions
How much VRAM do I need to run Llama 3.2 3B Instruct?
Llama 3.2 3B Instruct requires 2.38GB VRAM minimum with Q4_K_M quantization. For full precision, you need 3.69GB VRAM.
What is the best quantization for Llama 3.2 3B Instruct?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.