Context Labs Meta Llama Llama 3.2 3B Instruct FP16 speed on NVIDIA L4 and quantization-level VRAM fit.
NVIDIA L4 meets the minimum VRAM requirement for Q4 inference of Context Labs Meta Llama Llama 3.2 3B Instruct FP16. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA L4 can run Context Labs Meta Llama Llama 3.2 3B Instruct FP16 with Q4 quantization. At approximately 73 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 22GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 24GB | 72.68 tok/s | ✅ Fits comfortably |
| Q8 | 3GB | 24GB | 50.88 tok/s | ✅ Fits comfortably |
| FP16 | 6GB | 24GB | 27.62 tok/s | ✅ Fits comfortably |
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NVIDIA L4 can run Context Labs Meta Llama Llama 3.2 3B Instruct FP16 at Q4 with an estimated 73 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while NVIDIA L4 has 24GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.