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Llama 3.2 1B Instruct
Ultra-compact 1B model. Runs on virtually any device including smartphones.
1.24B parametersllamallama3.2128K context1.25GB - 2.81GB VRAM
Check Your Hardware
See which quantizations of Llama 3.2 1B Instruct your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 0.752 GB | 1.25 GB | 1.75 GB | 85% |
| Q8_0 | 8 | 1.23 GB | 1.73 GB | 2.23 GB | 98% |
| FP16 | 16 | 2.309 GB | 2.81 GB | 3.31 GB | 100% |
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 1B Instruct?
Llama 3.2 1B Instruct requires 1.25GB VRAM minimum with Q4_K_M quantization. For full precision, you need 2.81GB VRAM.
What is the best quantization for Llama 3.2 1B Instruct?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.