Baichuan Inc Baichuan M2 32B speed on NVIDIA L4 and quantization-level VRAM fit.
NVIDIA L4 meets the minimum VRAM requirement for Q4 inference of Baichuan Inc Baichuan M2 32B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA L4 can run Baichuan Inc Baichuan M2 32B with Q4 quantization. At approximately 21 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 8GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 16GB | 24GB | 21.20 tok/s | ✅ Fits comfortably |
| Q8 | 32GB | 24GB | 14.84 tok/s | ❌ Not recommended |
| FP16 | 64GB | 24GB | 8.06 tok/s | ❌ Not recommended |
Check current pricing links for NVIDIA L4 and similar cards.
Open NVIDIA L4 buy links →Use workload-focused recommendations before committing to a purchase.
Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →NVIDIA L4 can run Baichuan Inc Baichuan M2 32B at Q4 with an estimated 21 tok/s.
Q4 inference is estimated to need about 16GB 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.