NVIDIA H200 SXM 141GB 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 H200 SXM 141GB can run context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 with Q4 quantization. At approximately 746 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 139GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 141GB | 745.55 tok/s | ✅ Fits comfortably |
| Q8 | 3GB | 141GB | 540.74 tok/s | ✅ Fits comfortably |
| FP16 | 6GB | 141GB | 335.79 tok/s | ✅ Fits comfortably |